Adam John Sturges Beer - Director IBM System z Europe at IBM : IBM Z platform - Strategy and Evolution

1. IBM Systems
Technical Events
ibm.com/training/events
adam.sturges@it.ibm.com
Adam Sturges-Beer
Director z Software Sales Europe
IBM LinuxONE
Emperor II
IBM z14
IBM z platform –
Strategy & Evolution

2. © Copyright IBM Corporation 2017. Technical University/Symposia materials may not be reproduced in whole or in part without the prior written permission of IBM.
IBM Systems Technical Events – ibm.com/training/events
© 2017 IBM Corporation
2IBM Z
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3

4. © Copyright IBM Corporation 2017. Technical University/Symposia materials may not be reproduced in whole or in part without the prior written permission of IBM.
IBM Systems Technical Events – ibm.com/training/events
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5

6. © 2017 IBM Corporation
6IBM Z
IBM Z: Designed for Trusted Digital Experiences
Pervasive
Encryption is the
New Standard
100% encryption of all data
Zero application changes
Zero impact to service levels
Protect client and corporate from
internal and external threats
Analytics & Machine Learning for
Continuous Intelligence Across
the Enterprise
Anticipate customer needs and embed
insight in every business transaction
Dramatically faster lifecycle management
of behavioral models with more memory
and greater processing capacity
Derive impactful insights by combining
IBM Z data with other structured and
unstructured external data sources
Open Enterprise Cloud to
Extend, Connect
and Innovate
Cut new service build time by 90% using
secure APIs on IBM Z and advanced
DevOps
Seamlessly connect any service from
public and private cloud with transactions
and data on IBM Z
Accelerate innovation with an ecosystem
of partners to develop and manage
enterprise wide applications leveraging
1000’s open source software packages
Container Pricing for IBM Z provides new flexibility for modern digital workloads

7. © 2017 IBM Corporation
7IBM Z
IBM Z Technology Evolution
+294% CAGR in 17 years
+369% for IFLs with SMT
(2000 – 2017)
10 x in 17 years
(2000 – 2017)
512 x in 17 years
(2000 – 2017)
+45% CAGR in 17 years
+58% for IFLs with SMT
(2000 – 2017)

8. © 2017 IBM Corporation
8IBM Z
IBM Z Life Cycle history
z196 & z114
withdrawn from
marketing on
June 30, 2014
zEC12 & zBC12 withdrawn
from marketing on
December 31, 2016,
LIC upgrades on
December 31, 2017,
All billing FC for CoD on
June 30, 2018.
Emperor II
ANN: Sept. 11, 2017
GA: Sept. 13, 2017
IBM z14
ANN: July 17, 2017
GA: September 13, 2017

9. © 2017 IBM Corporation
9IBM Z
Introducing the IBM z14
§ Processor Units (PUs)
– 41 (49 for M05) PU cores per CPC drawer
– 33, 69,105,141 or 170 PU coresavailable forcharacterization
– Single thread capacity ~1832 MIPS
– Up to 23 SAPs per system,standard – New on z14 is SAPs are SMT
– 2 sparesdesignated persystem
– 85 LPARs
– Sub-capacity available forup to 33 CPs – 3 sub-capacity points
– Enhanced performance forcompression and crypto coprocessor
§ Memory
– RAIM Memory design
– System Min of 256 GB - up to 8 TB / drawer - 192 GB Fixed HSA, standard
– Up to 32 TB for Systemand up to 16 TB per LPAR (OS dependent)
– IBM Virtual Flash Memory (replacesFlash Express)
§ I/O
– New PCIe Gen 3 IBM zHyperLink technology
– Last high end serverto support InfiniBand Coupling Features
– 16 GBps PCIe Gen 3 I/O Interconnects
– 6 Logical Channel Subsystems(LCSSs) with 4 Sub-channel setsperLCSS
Model
Customer
PUs
Max
Memory
M05 170 32 TB
M04 141 32 TB
M03 105 24 TB
M02 69 16 TB
M01 33 8 TB*
IBM z14
Machine Type: 3906
Models:
M01, M02, M03, M04, M05

10. © 2017 IBM Corporation
10IBM Z
z14 Processor Features – zIIP to CP 2:1 ratio
1. At least one CP, IFL, or ICF must be purchased in every machine
2. Two zIIPs may be purchased for eachCP purchased if PUs are available. This remains true for sub-capacity CPs and for “banked” CPs.
3. On an upgrade from zEC12, installed zAAPs are converted to zIIPs by default. (Option: Convert to another engine type)
4. “uIFL” stands for Unassigned IFL
5. The IFP is conceptually an additional, specialpurpose SAP – used by PCIe I/O features.
Model
Drawer
s/ PUs
CPs
IFLs
uIFLs
zIIPs ICFs
Std
SAPs
Optional
SAPs
Std.
Spares
IFP
M01 1 x 41 0-33
0-33
0-32
0-22 0-33 5 0-4 2 1
M02 2 x 41 0-69
0-69
0-68
0-46 0-69 10 0-8 2 1
M03 3 x 41 0-105
0-105
0-104
0-70 0-105 15 0-12 2 1
M04 4 x 41 0-141
0-141
0-140
0-94 0-141 20 0-16 2 1
M05 4 x 49 0-170
0-170
0-169
0-112 0-170 23 0-16 2 1

11. © 2017 IBM Corporation
11IBM Z
Introducing the IBM LinuxONE Emperor II
§ Processor Units (PUs)
– 41 (49 for LM5) PU cores perCPC drawer
– 33, 69,105,141 or 170 IFL processorsavailable forLinux workloads
– 1 CPavailable (option)to support the GDPS Virtual Appliance
– Single thread capacity ~1832 PCI
– Up to 23 SAPs per system,standard – New on LinuxONE Emperor II is SAPs are
SMT
– 2 sparesdesignated persystem
– Up to 85 LPARs
– Enhanced performance forcompression and crypto coprocessor
– Dynamic Partition Manager(DPM)
§ Memory
– RAIM Memory design
– System Min of 256 GB - up to 8 TB / drawer - 192 GB Fixed HSA, standard
– Up to 32 TB for Systemand up to 16 TB per LPAR (OS dependent)
§ I/O
– Technologyrefresh of all I/O cards(FICON, OSA, RoCE)
– 16 GBps PCIe Gen 3 I/O Interconnects
– 6 Logical Channel Subsystems(LCSSs) with 4 Sub-channel setsperLCSS
Model
Customer
PUs
Max
Memory
LM5 170 32 TB
LM4 141 32 TB
LM3 105 24 TB
LM2 69 16 TB
LM1 33 8 TB*
IBM LinuxONE Emperor II
Machine Type: 3906
Models:
LM1, LM2, LM3, LM4, LM5

12. © 2017 IBM Corporation
12IBM Z
Dynamic Partition Manager – At a Glance
Dynamic Partition Manager Mode
A CPC can be in Standard PR/SM
mode or Dynamic Partition Manager
mode. Enable Dynamic Partition
Manager mode with first IML.
Linux only
A CPC running in Dynamic
Partition Manager mode is Linux
only. No z/OS, z/VM, z/VSE,
z/TPF, IBM zAware support.
FCP Storage only.
Simplification
Provide simplified, consumable,
enhanced Partition life-cycle and
integrated dynamic I/O
management capabilities.
Cloud
Provides the technology
foundation that enables IaaS and
secure, private Clouds.
FIE
Initial focus on First In Enterprise
(FIE) customers with support for
existing clients in a later stage.
“Dynamic Partition Manager” provides simplified
IBM Z hardwareand virtual infrastructure
management including integrated dynamic I/O
management for FIE customers that run z/VM or
KVM on Z as a hypervisor and/or Linux on z as an
Partition-hosted operating system.”

13. © 2017 IBM Corporation
13IBM Z
Dynamic Partition Manager Management

14. © 2017 IBM Corporation
14IBM Z
Secure Service Container
The Base Infrastructure to Host and Build Software Appliances
§ Provides simplified mechanism for fast deployment and
management of packaged solutions
§ Provides tamper protection during Appliance installation and
runtime
§ Ensure confidentiality of data and code running within the
appliance – both at flight and at rest
§ Management provided via Remote APIs (RESTful) and web
interfaces
§ Enables appliances to be delivered via distribution channels
§ Usability improvements based on customer feedback
§ Software Appliances: IBM zAware (IOAz), z/VSE Network
Appliance
Services
Applications
Operating System
Management
z13 GA2, z13s, z14
LinuxONE

15. © 2017 IBM Corporation
15IBM Z
Data Protection // Secure Service Container
CF
z/OS
z/OS z/OS
z/OS
SANNetwork
Storage System
LinuxONE/ IBM Z
Secure Service Container
Extending the value of z hardware crypto
Protected-key CPACF –
key value not visible to
OS or application
LinuxONE / z Systems
Client Value Proposition:
Simplified, fast deployment and
management of packaged solutions
Tamper protection during Appliance
installation and runtime
Confidentiality of data and code
running within the Appliance both at
flight and at rest
Restricts administrator access to
workload and data
Secure Service Container architecture
builds on the value z systems hardware
crypto using a runtime environment
designed to help clients reduce risk.

16. © 2017 IBM Corporation
16IBM Z
IBM Secure Service Container Deployment Overview
Deployment in 5 steps
Appliance LPAR
SSC Mode
Appliance
Installer
IBM Sales
i.e. ShopZ
U/I
SW
Appliance
U/I
reboot
Infrastructure (Software) Appliance
Appliance
Appliance Storage
Software
Appliance
A
Software
Appliance
B
Customer disk (ECKD)
2
4
5
1
3
1) Buy a Software Appliance (e.g. IOAz/zAware)
2) Download the Appliance image
3) Create and activate an appliance (SSC) LPAR
4) Deploy Appliance using Appliance Installer
5) Configure and use Appliance through REST API
or web U/I

17. © 2017 IBM Corporation
17IBM Z
SSC Supported Appliances (z13, z13s, z14): z/VSE Network Appliance
Linux Fast Path - z/VSE IP Assist
§ Customer has to:
- Download the LFP image based on
Secure Service Container SDK
- Install / configure the image
§ Linux acts as a router for z/VSE
§ No TCP/IP stack required on z/VSE
§ No Linux distribution required
z14, z13 GA2, z13s
Application
TCP/IP
Stack
Application
TCP/IP
Stack
Application
LFP Image based on
SSC SDK
z/VSE
Linux on
z Systems
z/VSE
z/VSE
Supervis
or
Kernel
z/VSE
Supervis
or
HyperSockets HyperSockets
Network

18. © 2017 IBM Corporation
18IBM Z
SSC Supported Appliances (z13 GA2, z13s, z14): IBM zAware (IOAz)
• Provides anomaly detection,search and reporting
• Identify unusual system behavior ofz/OS and Linux on System z images
• Analyze message logs for all servers in the enterprise from single browser in real-time
Monitored Clients
Linuxon
Systemz
Web UI to
monitor
results
z/VM
Data from
other
platforms
Monitored Clients
Linuxon
Systemz
Linuxon
Systemz
z/OS
z/OS
zAware
(IOAz)
Integrated Analytics Software Virtual Appliance
IBM Operations Analytics for z Systems V3.1
IBM zAware not
supported on z14 as
firmware appliance.

19. © 2017 IBM Corporation
19IBM Z
§ 14 nm Processor with improved SIMD, SMT
§ 10 Cores per CP SCM design
§ 5 or 6 CP SCMs per Drawer
§ Integrated I/O with PCIe DirectAttach
§ Single System Controller Chip
§ Simplified CPC Drawer SMP Fabric
z14 System Design Changes
§ Crypto Express6S
§ OSA-Express6S
§ FICON Express16S+
§ RoCE Express2
§ IBM zHyperLink Express
§ Coupling Express Long Reach
§ Radiator Design improvements
§ Expanded operating environment(ASHRAE Class A3)
§ Thin doors (optional)
IBM
z14

20. © 2017 IBM Corporation
20IBM Z
IBM Z Processor Roadmap
Core 0
L3_0
L3_1
L2
CoPMCU
L2
Core 1
L3_0
L3_1
Core 2
L2
CoP GX
L2
Core 3
L3_0 Controller
L3_1 Controller
MC
IOs
MC
IOs
GX
IOs
GX
IOs
L3B
L3B
Core 0
L3_0
L3_1
L2
CoPMCU
L2
Core 1
L3_0
L3_1
Core 2
L2
CoP GX
L2
Core 3
L3_0 Controller
L3_1 Controller
MC
IOs
MC
IOs
GX
IOs
GX
IOs
L3B
L3B
z196/z114
9/2010
zEC12/zBC12
8/2012
z14
7/2017
Leadership Single Thread,
Enhanced Throughput
Improved out-of-order
Transactional Memory
Dynamic Optimization
2 GB page support
Step Function in System
Capacity
Top Tier Single Thread
Performance,System Capacity
Accelerator Integration
Out of Order Execution
Water Cooling
PCIe I/O Fabric
RAIM
Enhanced Energy Management
Leadership System Capacity
and Performance
Improved data compression
Enhanced hardware encryption
Enhanced SMT (2-way)
Enhanced SIMD
Pause-less Garbage Collection
for Java
14 nm
32 nm
45 nm
6.1 B Transistors
6-core chip
10-core chip
z13/z13s
1/2015
Leadership System Capacity
and Performance
Modularity & Scalability
SMT (2-way)
Double instruction bandwidth
SIMD
Business Analytics Optimized
22 nm
8-core chip
4-core chip
1.4 B transistors
2.75 B Transistors
3.99 B Transistors

21. © 2017 IBM Corporation
21IBM Z
z14 System Upgrades
IBM
z14
IBM
zEC12
IBM
z13
z14 M0x
Air
z14 M0x
Water
zEC12 Air Yes Yes
zEC12 Water No Yes
z13 Air Yes Yes
z13 Water No Yes
Note: Upgrading from z14 model M01-M04 to a model M05 is
not supported. Factory build only.
IBM
z14

22. © 2017 IBM Corporation
22IBM Z
IBM Virtual Flash Memory (VFM) - Feature Code 0604
IBM Virtual Flash Memory (VFM)
§ Replacement for IBM Flash Express I/O features – use z14 memory
§ Up to 10% end to end performance improvement
‒ 1000X improvement in Read/Write latency
§ Same use cases as IBM Flash Express:
§ Improve availability and performance during workload transition and spikes
§ Faster and less disruptive diagnostics
§ Resilient solution for overflow of MQ shared queues in Coupling Facility
§ Saves at least two PCIe I/O Drawer Slots, Less power consumption, Better performance.
Reliability, Availability, Serviceability
§ If flexible memory is ordered, flexible memory for VFM is required.
§ The memory associated with the VFM can be evacuated to another processor drawer along with
the “regular” customer memory.
– Supported: Concurrent Drawer Add, Concurrent Drawer Repair, Concurrent MemoryAdd.
Increment Size: Up to four features/increments (1.5 TB, 3.0 TB, 4.5 TB, 6.0 TB)
§ VFM is HSA-like memory

23. © 2017 IBM Corporation
23IBM Z
§ Each PU SCM:
– 14nm
– One Memory Controller per CP Chip
– Five DDR4 DIMM slots per Memory Controller: 15 total per
logical cluster
§ Each drawer:
– Two logical CP clusters (0 and 1)
– Five PU Chips: 41 active PUs – M01 – M04
– Six PU Chips: 49Active PUs – M05
– One SC Chip (672 MB L4 cache)
– Populated DIMM slots: 25 DIMMs
to support up to 8 TB of addressable memory (10 TB RAIM)
– Water cooling for PU SCMs, air cooled SC SCM
– Two Flexible Support Processors
– Ten fanout slots for PCIe I/O drawer fanouts or PCIe
coupling fanouts
– Four fanout slots for PSIFB coupling link fanouts
z14 Processor Drawer (Top View)
Front
Rear
M05
Only
SC
Logical
Cluster 0
Logical
Cluster 1

24. © 2017 IBM Corporation
24IBM Z
80-way
1202 15033 TB
384 GB/Sec*
101-way
z196
zEC12
z13
141-way
System I/O Bandwidth +
832 GB/Sec*
Memory
32 TB
PCI for 1-way
1832
z14
1695
170-way
10 TB
z14 Advanced System Design
Security
Resiliency
Manageability
Integration
Acceleration
Memory capacity
supports in-memory data
processing, analytics,
and extreme
virtualization
Combine industry link
speeds with massive
connectivity
Grow system scale
to support growing
transaction rates and
additional workloads
Growth in
per-engine
performance

25. © 2017 IBM Corporation
25IBM Z
z14 Continues the CMOS Mainframe Heritage Begun in 1994
0
1000
2000
3000
4000
5000
6000
z900 z990 z9ec z10ec z196 zEC12 z13 z14
770 MHz
1.2 GHz
1.7 GHz
5.2 GHz 5.0 GHz
2000
z900
189 nm SOI
16 Cores**
Full 64-bit
z/Architecture
2003
z990
130 nm SOI
32 Cores**
Superscalar
Modular SMP
2005
z9 EC
90 nm SOI
54 Cores**
System level
scaling
2010
z196
45 nm SOI
80 Cores**
OOO core
eDRAM cache
RAIM memory
zBX integration
2008
z10 EC
65 nm SOI
64 Cores**
High-freq core
3-level cache
MHz/GHz
1000
0
2000
3000
4000
5000
1202*
+33%
GHz
+18%
902*
+50%
GHz
+159%
1695*
+12%
GHz
-9%
31,826*
+72%
111,556*
+42%
5.5 GHz
1514*
+26%
GHz
+6%
78,426*
+50%
52,286*
+64%
6000
2015
z13
22 nm SOI
141 Cores**
SMT &SIMD
Up to 10TB of
memory
2012
zEC12
32 nm SOI
101 Cores**
OOO and eDRAM
cache improvements
PCIe Flash
Arch extensions
for scaling
** Number of PU cores for customer use
* MIPS Tables are NOT adequate for making comparisons of IBM Z processors. Additional capacity planning required
2017
z14
14 nm SOI
170 Cores**
VFM
zHyperLink
Up to 32TB of
memory
SMT on SAP
4.4 GHz
902*
+50%
GHz
+159%
31,826*
+72%
1832*
+8%
GHz
+4%
146,462*
+31%
5.2 GHz
~ 10% for equal z13 n-way
~ 35% max capacity 170-way vs 141-way (z13)
SMT vs Single Thread ~ 10–40% (average 25%)
- both zIIP& IFL
SMT z14 vs z13 ~ 15% (z/VM Guests)
z900 z990
z9 EC
z10 EC
z196
zEC12
z13 z14

26. © 2017 IBM Corporation
26IBM Z
z14 Processor Design
§ Performance Enhancements
• Larger L1, L2, and L3 caches
• New address translation design
• Branch prediction innovations (z/OS and Linux aware)
• Instruction pipeline optimizations
• Increased floating-point compute bandwidth
• 2nd-generation SMT (SAP support)
§ Architecture features
• SIMD extensions for decimal operations and analytics
• Register-based BCD operations (Cobol)
• Guarded Storage Facility
• Enables pause-less garbage collection for Java
• Instruction Execution Protection Facility
• “No-execute” zones
§ Compression co-processor
§ Crypto co-processor
14nm SOI Technology
Up to 10 active cores (PUs) per chip
System Control (SC) chip

27. © 2017 IBM Corporation
27IBM Z
Guarded Storage Facility (GSF) on z14
§ Support allows an area of storage to be identified such that an Exit routine gets control
if a reference is made to the storage
§ Allows Java exploitation to improve their garbage collection
‒ A less-pausing (Pause-Less) approach, not a no-pause approach
§ GSF is managed by new instructions that define Guarded Storage Controls and
system code to maintain that control information across un-dispatch and re-dispatch
§ Function is provided on z/OS 2.2 and later on z14
– APAR OA51643 must be installed
– At z14 GA this facility is not available if running as z/VM guest
• Guest exploitation support for GSF will be available in z/VM 6.4 by YE 2017

28. © 2017 IBM Corporation
28IBM Z
Pause-less Garbage Collection
Allows Java garbage collection to run concurrently
with applications for more predictable response-
times and high-performance transaction processing
at-scale
Java Garbage Collection - Tuning made easy
Up to 3x better throughput for
response-time constrained Service Level
Agreements (SLAs)
Up to 10x better average GC pause-times IBM Java 8 SR5 + IBM z14’s Guarded Storage
Facility allows GC to run in parallel with application.
Enable with: -Xgc:concurrentScavenge

29. © 2017 IBM Corporation
29IBM Z
Pause-Less Garbage Collection: -Xgc:concurrentScavenge
More consistent and reduced GC pause times for response-time sensitive,
large heap applications.
Existing: All applications threads pause to allow GC to safely move objects in heap
Pause-Less GC: Short GC Pause Times, Application Threads run concurrently with GC.
Migrate Objects Update References
App
Thread
App
Thread
GC Pause Time
App
Thread
App
Thread
App
Thread
Much Shorter
GC Pause
TimeApp
Thread
App
Thread
Migrate
Root Set
App
Thread
App
Thread
GC
Update
Reference
Update
Reference
App
Thread
App
Thread

30. © 2017 IBM Corporation
30IBM Z
Instruction Execution Protection (IEP)
§ IEP is a hardware function provide by z14 (based on DAT table entry bit)
‒ Bit 55 of the page and segment table entries has been defined as the instruction
execution protection (IEP) control bit
§ RSM provides new function to request that non-executable memory be allocated
– Exploitation support new EXECUTABLE=NO option on IARV64 and STORAGE
– Any attempt to execute will program-check
• Could be an indication of an attempt to violate system integrity
§ RTM will write LOGREC record of any program-check that results from IEP
§ Support will be for z/OS 2.2 and later running on z14
‒ APAR OA51015 must be installed
‒ Toleration APAR will be provided for lower z/OS releases supported on z14
‒ Function will not be available when running as a z/VM guest

31. © 2017 IBM Corporation
31IBM Z
z14 Processor Design
§ Performance Enhancements
§ Architecture features
§ Compression co-processor
• Order-preserving compression
• Support for compression of DB2 indices
• Improved compression ratios with Huffman coding
• Faster compression and expansion (~20% to 30%)
§ Crypto co-processor
• True Random Number generator
• Support for SHA3 standard
• RSA/ECC acceleration for asymmetric encryption
• GCM (Galois Counter Mode) acceleration for symmetric encryption
• Faster encryption and decryption
• 2X for most usage of AES
• 6X for GCM
14nm SOI Technology
Up to 10 active cores (PUs) per chip
System Control (SC) chip

32. © 2017 IBM Corporation
32IBM Z
Order Preserving Compression (OPC)
Statement of Direction: Db2 plans to exploit z14 OPC to compress Db2 indexes
Index keys to be compressed (not RIDs)
Goal: reduce number of index pages for a unique index by 30% or more.
§ Reduce DASD space for indexes, also reducing I/O and memory requirements
Compressed index keys remain ordered, so almost zero overhead for matching index
access
§ Some CPU overhead for screening predicates, since keys will need to be
decompressed
Software decompression provided for Db2 systems access compressed indexes from pre
z14 machines
Goal: improved usability and compression compared to existing Db2 index compression
technique with no CPU increase

33. © 2017 IBM Corporation
33IBM Z
Huffman compression for Db2 Data pages
Db2 12 will compress data pages using z14 hardware support for Huffman with shorter
variable length compression symbols (zPARM is set to HUFFMAN).
§ Current compression done in hardware but with less efficient fixed length
compression symbols.
Benefits:
§ DASD space savings, I/O reduction and better local buffer pool efficiency for Db2
Tables.
§ Improved compression ratios with excellent performance
Tooling: DSN1COMP is enhanced to give compression estimates for Huffman.
Note: this enhanced DB2 data compression is enabled by z14 on-chip hardware extensions
and does not depend on the zEDC card.

34. © 2017 IBM Corporation
34IBM Z
Co-processor compression (CMPSC)
§ New compression
algorithm fully
pipelined,~2x
faster
§ Dedicated Co-
Processor per
Core
§ With small,
dedicated
dictionary cache
§ Connects to main
cache-structure
(better throughput
for many
dictionaries)
z13
§ Order Preserving
compression in B-Trees
and other index structures
§ Faster expansion
algorithms (~20-30%)
§ Reduced overhead on
short data
§ Huffman compression
on top of CMPSC
compression
(Embedded in existing
dictionary,reuse of
generators)
zEC12 z14z196
§ Reduce compression/expansion overhead to enable more widespread exploitation
§ Improve compression algorithms to compress more data better
Co-Processor
§ Compression
§ Expansion
§ Translation

35. © 2017 IBM Corporation
35IBM Z
z14 Processor Design
§ Performance Enhancements
§ Architecture features
§ Compression co-processor
• Order-preserving compression
• Support for compression of DB2 indices
• Improved compression ratios with Huffman coding
• Faster compression and expansion
§ Crypto co-processor
• True Random Number generator
• Support for SHA3 standard
• RSA/ECC acceleration for asymmetric encryption
• GCM (Galois Counter Mode) acceleration for symmetric encryption
• Faster encryption and decryption
• 2X for most usage of AES
• 6X for GCM
Z
14nm SOI Technology
Up to 10 active cores (PUs) per chip
System Control (SC) chip

36. © 2017 IBM Corporation
36IBM Z
Pervasive Encryption with IBM Z Enabled through tight platform integration
Protect Linux file systems and z/OS data sets using policy controlled encryption thatis
transparentto applications and databases
Data Set & File
Encryption
Integrated Crypto
Hardware
Hardware acceleratedencryption on every core – CPACF (CentralProcessor Assist
for Cryptographic Functions)
PCIe Hardware Security Module (HSM) & Cryptographic Coprocessor – Crypto Express
Protect network traffic using standards based encryption from end to end, including encryption
readiness technology to ensure that z/OS systems meet approved encryption criteria
Network
Encryption
Protect z/OS Coupling Facility data end-to-end,using encryption that’s transparentto
applications
Coupling
Facility
Full disk encryption utilizes encrypting disk drives that protect data at rest when disk
drives are retired, sent for repair or repurposed
Full Disk
Encryption
Secure deploymentof software appliances including tamper protection during installation and
runtime, restricted administrator access, and encryption of data and code in-flightand at-rest
Secure Service
Container

37. © 2017 IBM Corporation
37IBM Z
Hardware Crypto support in IBM Z Architecture
CPACF
Rack Mounted or
Tower
Trusted Key Entry
z14 CPC
Drawers
Smart Cards
z14 PU SCM
Crypto
Express6S
Smart Card Readers
PCIe I/O
drawers
IBM z14
CPACF (Central
Processor Assist
for Cryptographic
Functions)
Performance
improvements of
up to 7x for
selective
encryption
modes
Crypto Express6S
Performance
improvements up
to 2x
Industry exclusive
“protected key” encryption

38. © 2017 IBM Corporation
38IBM Z
Pervasive Encryption and Cryptographic functions can help you
out when dealing with….

39. © 2017 IBM Corporation
39IBM Z
IBM Systems |
6
The European Union has had data privacy regulation in place since 1995. A new set of rules have been published in
April 2016 to take effect in May 2018.The new GDPR establishes common rules across Europe and gives individuals
better control over their personal data held by the organizations.
General Data Protection Regulation (GDPR)
Objective Description
Establish data privacy as a
fundamental right
The GDPR considers data privacy as a fundamental right of an individual, which includes a “right to
the protection ”of their personaldata. Anyone based in the EU, or anyone handling or targeting the
personaldata of an EU-based individual must have processes, technology, and automation to
effectively protect personal data.
Clarify the responsibilities
for EU data protection
The GDPR applies to anyone based in the EU, or anyone handling the personaldata of an EU-
based individual or targeting him/her by offering goods or services from outside the EU borders.
Define a baseline for data
protection
To avoid fragmentation and ambiguity, GDPR has set a baseline for data protection by requiring
anyone handling the personaldata of an EU individual to follow the GDPR guidelines.
Elaborate on the data
protection principles
The GDPR considers encryption as only one of the components of a broad security strategy,
and mandates that organizations need to consider assessment, preventive, and detective
controls based upon the sensitivity of the data they have.
Increase enforcement
powers
EU aims to ensure the compliance with the GDPR by enforcing huge fines up to 4% of global
annual revenue upon non-compliance.

40. © 2017 IBM Corporation
40IBM Z
z14 is strategically aligned with Data Protection
Use case : a Cyber attack occurs
Company that holds data must detectand report the data breach to all end users
impacted within 72 hours …..exceptif the data are encrypted!
So Encryption is not mandatory but will be essential to reduce Data breach reporting
and impact on company reputation
Today clients encrypt z Systems sensitive data in databases and use encryption software in distributed
platforms for all data. But to encrypt , the company needs to:
• classify data, tag them, implement encryption engine
• sometime modify application,
• buy and manage Hardware and software for encryption for distributed platforms
With Pervasive Encryption, datais encrypted (in flight /at rest): no need for data classification and tagging
z14 offers higher crypto performance to sustain Pervasive Encryption for all data
• 4x times more powerful than x86 (*)
• reduced cost versus Software encryption
• Help our clients to reach the highest level of security for their data
(*) estimation today

41. © 2017 IBM Corporation
41IBM Z
CPACF CPACF
CPACF CPACF
Data Protection // Coupling Facility Encryption
z/OS
CF
CF
z/OS z/OS
SANNetwork
End-to-End encryption of CF Data:
• Host ProtectedkeyCPACF Encryption
(High Performance / Low Latency)
• Data encrypted inthe host and remains
encrypteduntil decryptedbyhost
• No applicationenablement required
• List & Cache Structures only– No Lock!
Storage System
abc
***
***
XES
Client Value Proposition:
Simplify and reduce cost of
compliance by removing CF
and CF data from compliance
scope (i.e. ability to encrypt all
CF data)
Protection of data in-flight and in-use (CF)
z/OS Parallel Sysplex Cluster
z/OS 2.3

42. © 2017 IBM Corporation
42IBM Z
How z14 with Pervasive Encryption is ideally positioned to assist your
Organization for GDPR preparation
• IBM z14 offers security by design to help protect, secure and audit data
simplifying & reducing the cost of encryption
• IBM® z Systems® Pervasive Encryption provides the comprehensive data
protection your organization and your customers demand at reduced cost;
• It can be implemented using policy-based controls with low overhead
• z/OS and Linux on z Systems provides transparent encryption of data at rest.
• IBM z14TM is designed to deliver a new level of encryption performance with
enhanced CPAssist for Cryptographic Functions (CPACF), Crypto
Express6S card and centralized secure keys management system.

43. © 2017 IBM Corporation
43IBM Z
z14 helps you to prepare for GDPR requirements
- Implementing an efficient security intelligence
IBM offers a portfolio of security solutions that could be deployed with z Systems
Pervasive Encryption to cover a broader scope of security:
• Privileged identity management:
• RACF®, IBM Multi-Factor Authentication for z/OS® and IBM Security Identity Governance and
Intelligence allow you to govern, protect and audit users with elevated privileges
• Sensitive data protection:
• IBM Security Guardium® and IBM Security Key Lifecycle Manager, along with z Systems Pervasive
Encryption,help defend and protect critical assets with encryption and intelligentdata monitoring
• Integrated security intelligence:
• IBM Security QRadar® and IBM Security zSecure™ Suite correlate huge amounts of security data to
uncover patterns of unusual activity. Then, they use real-time alerts to focus on the most critical
security threats.

44. © 2017 IBM Corporation
44IBM Z
Crypto functions in the dedicated co-processor
z13zEC12 z14
§ SHA-1/2
~3.7X better throughput
(on longer data)
§ AES-128/256
~1.7X better throughput
(on longer data)
§ Pseudo-random
number generator
§ AES-GCM
§ SHA-3
§ True random number
generator
§ Reduced overhead on
short data (hashing and
encryption)
§ ~6X throughputfor GCM
§ Dedicated
Co-Processor
per Core
§ ~2x throughput

45. © 2017 IBM Corporation
45IBM Z
Designed for Data
I/O options that protect, access, share
Pervasive Encryption Getting to Data Accessing the Web Clustering to Protect
New CF Encryption
New Crypto Express6S
Enhanced Speed of
CPACF
Payment Card Industry
(PCI) HSM
New TKE 9.0
New zHyperLink Express
New IBM Virtual Flash
Memory
New FICON Express16S+
zHPF – Extended
Distance II
zEDC Express
New 10GbE RoCE
Express2
New OSA-Express6S
HiperSocket
SMC-D
New Coupling Express LR
ICA SR
InfiniBand Coupling Links –
LR and SR
Plus: improved CF
scalability,constraintrelief
and diagnostic
enhancements

46. © 2017 IBM Corporation
46IBM Z
Speed and Scale Getting to the Data
FICON Express16S+
§ Up to 3x SIO/sec for small data transfer I/O
operations and 25% SIO/sec increase with mix of
large sequential read and write data transfer
options
§ Batch Elapsed time improves 17% running I/O
intensive batch workloads versus same workload
using FICON Express16S on a z13
§ Provides increased scalability by increasing
number of devices per channel without degrading
performance
zHyperLink Express
§ A new direct connect short distance link
designed to deliver low latency connectivity
between z14 and FICON® storage systems
§ zHyperLink improves application response time,
cutting I/O sensitive workload response time by
up to 50% without requiring application
changes4

47. © 2017 IBM Corporation
47IBM Z
Speed matters: Performance innovation for IBM Z
Unleash your mainframe environment with DS8880 zHyperLink Express
®
zHyperLink will initially speed DB2 for z/OS transaction processing and
later improve DB2 active Log throughput and VSAM applications.
Feature Code: 0431
§ Min/Max, 0-16. Increment = 1 (2 ports)
§ Maximum of 16 features (32 ports)
§ Function ID Type = HYL
§ Up to 127 Virtual Functions (VFs) per PCHID
§ Point to point connection using PCIe Gen3
§ Maximum distance: 150 meters
Reach 7x faster read access and 10x faster writes of data with
zHyperLink Express technology
Designed to accelerate DB2 for z/OS Log write by up to 5x.
§ Significantly improve DB2 transaction rate.
Reads fast enough to serve data to DB2 without an undispatch during IOP
§ Improved Application and Middleware scaling
DB2 V11 or V12
z14
FICON
DS8880
FC 0431
z/OS 2.1 - z/OS 2.3
DS8880
R8.3

48. © 2017 IBM Corporation
48IBM Z
zEnterprise Data Compression (zEDC) Usage
Value buy-in from IBM products
across the product stack
3Q13
1Q14
3Q14
3Q15
3Q16
3Q17
zEDC Initial Support in z/OS V2R1
z/OS SMF Logstream
Java Compression Classes
IBM Encryption Facility
QSAM/BSAM Support
Sterling Connect:DirectV5.2
HSM/DSS Support
IBM HTTP Server
WebSphere MQ V8
z/OS 2.2 OpenSSH
Content Manager OnDemand
Linux DistributionsDB2
z/OS zFS
File system
(z/OS 2.3)
zEDC should be
installed on all
systems
accessing
compresseddata
*
FC 0420

49. © 2017 IBM Corporation
49IBM Z
Cornerstone for a Trust Economy: Open and Connected
• In laboratory measurements using FICON Express16S+ (FEx16S+) within an IBM z14, I/O
intensive batch workloads will realize a 17% improvement in batch elapsed time due to
FEx16S+ as compared to z13 FEx16S.
• I/O intensive batch workloads will realize an 35% improvement in batch elapsed time due
to FEx16S+ as compared to z13 FEx8S.
Disclaimer:
This performance data was measured in a controlled environment.The actual
throughputor performance thatany user will experience will varydepending upon
considerations such as the amountofmultiprogramming in the user's job stream,the I/O
configuration,the storage configuration,and the workload processed.

50. © 2017 IBM Corporation
50IBM Z
• zHyperLink Express improves application response time, cutting I/O sensitive workload
response time by up to 50% without requiring application changes.
Disclaimer: This response time estimate is based on IBM internal measurements and projections that assume 75% or more of the workload response time is associated with read
DASD I/O and the storage system random read cache hit ratio is above 80%. The actual performance that any user will experience may vary.
• zHyperlink Express is designed for up to 10X lower read latency than High Performance
FICON.
Disclaimer: Projections of read I/O latency are based on I/O service times and CPU queueing delays from IBM internal measurements. The actual performance that any user will experience may vary.
• In laboratory measurements using a IBM z14
zHyperLink Express attached to a DS8886, Multi-
Stream 4K Read link latency is reduced by up to
5x as compared to z14 FEx16S+ attached to a
DS8886 with a single 16Gb Host Adapter
Disclaimer: This performance data was measured in a controlled environment running an I/O driver program
under z/OS. The actual link latency that any user will experience may vary. Link latency only accounts for a
portion of I/O latency as experienced by an application. It reflects part of the benefit that zHyperLinkprovides
for z/OS, middleware, and client applications.
Cornerstone for a Trust Economy: Open and Connected
No I/O Interrupts
No Dispatches
18-20 usec
~100+ usec

51. © 2017 IBM Corporation
51IBM Z
Improved Speed for Development and Applications on z14
Compilers
§ COBOL v6.2 fully support the Packed Decimal
Facility to reduce CPU usage for decimal
intensive applications by up to 38%, and on
average 19%
§ Automatic Binary Optimizer v1.3 reduces CPU
usage of applications built with COBOL v4 (and
below) without source recompilation by up to
47%
§ z/OS 2.3 XL C/C++ reduces CPU usage of
compute intensive applications on average 13%
Java SDK 8 SR5
§ Faster user response times for Java
§ 4.2x improvement to AES-GCM crypto to enable
best-of-breed security for the API-economy using
Java
§ Pause-less garbage collection baked into the
processor, reducing pause times by up-to 3x for
predictable high-perform transaction processing at-
scale
§ 50+ new instructions on the z14 co-designed and
exploited by Java

52. © 2017 IBM Corporation
52IBM Z
Improved speed for development and applications on z14 –Compilers
Cornerstone for a Trust Economy: Open and Connected
Disclaimer: The performance improvements are based on internal IBM lab measurements. Performance results for specific applications will vary depending on the source code, the compiler options
specified, and other factors.
Comparison of CPU Reduction with exploitation of the new Vector Packed Decimal Facility
ABO 1.3
vs
ABO 1.2
ABO 1.3 (COBOL
4.2)
vs
COBOL 4.2
PL/I 5.2
vs
PL/I 5.1
V2R3 XL
C/C++
vs
V2R2 XL
C/C++
Average Up to Average Up to Average Up to Average
Compute Intensive 18% 37% 47% 80% 10% 40% 8%
Comparison of CPU reduction for COBOL V6.2 with exploitation of the new Vector Packed Decimal
Facility
vs V6.1 vs V5.2 vs V4.2
Average Up to Average Up to Average Up to
Floating point compute intensive 19% 38% 30% 67% 68% 94%
Compute intensive 10% - 16% - 47% -
• z/OS V2R3 XL C/C++ compiler demonstrates on average 13% reduction in CPU time for floating point
intensive applications on z14 over the same applications built with z/OS V2R2 XL C/C++ compiler on z14
On z13 , 128-
bit vector
registers were
added in
support of
SIMD.
VPDF was
added to z14
to exploit
same vector
registers
making
decimal ops
more efficient

53. © 2017 IBM Corporation
53IBM Z
IBM z14 – Optimized for Java
Pause-Less Garbage Collection
• Guarded Storage Facility
Cryptographic Function (CPACF)
• Improved performance of crypto co-processors
• GCM, SHA-3 hardware acceleration
• True Random Number Generator
Single Instruction Multiple Data (SIMD)
• Improved performance
• 32-bit floating point enhancements
• Packed Decimalssupport
New Instructions
• Hot cache line hints
• Arithmetic half-word operations
New 5.2 GHz 10-core Processor Chip
672 MB L4 cache:Optimized for data serving
Improved SMT-2 performance (zIIP + IFLs)

54. © 2017 IBM Corporation
54IBM Z
IBM SDK, Java Tech. Edition, Version 8.0.5 (IBM Java 8 SR5)
IBM z14 exploitation
• 50 new instructions exploited!
Pause-less Garbage Collection
• Up to 10x reduction in GC pause times
Improved crypto performance for IBMJCE
• AES-GCM block ciphering on z14
• Higher quality True Random Number Generator to seed SecureRandom
• Performance improvements in ECC,AES, SHA-1, SHA-2
New z14 instruction exploitation
• Improved PackedDecimal APIperformance in Data Access Accelerator
• Auto-SIMD acceleration for 32-bitbinary floating point
Improved application ramp-up
• Up-to 50% less CPU to ramp-up to steady-state
Up to 24% throughput improvement
Java on z14
Up to 5.1x improvement with SSL enabled
applications with AES-GCM

55. © 2017 IBM Corporation
55IBM Z
z14: Pause-less Garbage Collection
Java Store Inventory and Point of Sale Application
Java GC-tuning made easier
High scavenge pausetimes made this
application a candidate for Pause-less GC
Up to 3x better throughput for response-time
constrained Service LevelAgreements(SLAs)
Up to 10x better average GC pause-times
(Controlled measurement environment, results may vary)
IBM Monitoring and Diagnostic Tools - Garbage Collection
and Memory Visualizer
Enable Pause-less GC with:
• IBM Java 8 SR5 or newer
• IBM z14’s Guarded Storage Facility
• z/OS 2.3 or z/OS 2.2 with APAR OA51643
JVM option: -Xgc:concurrentScavenge

56. © 2017 IBM Corporation
56IBM Z
Liberty DayTrader 3 – z/OS – AES-GCM z13 vs z14
(Controlled measurement environment, results may vary)
IBM z14 + Java 8 SR5 AES-GCM cryptography up to 4.2x better
throughput over z13 + Java 8 SR3 IBM Liberty 8.5.5.9 with IBM Java 8 SR3, SR5
IBM z13 + IBM z14 – zOS – 4 zIIPSMT-2 + 1 CP
DayTrader 3

57. © 2017 IBM Corporation
57IBM Z
Liberty DayTrader 3 – Linux on Z – AES-GCM z13 vs z14
(Controlled measurement environment, results may vary)
IBM z14 + Java 8 SR5 AES-GCM cryptography up to 5.1x better
throughput over z13 + Java 8 SR3 IBM Liberty 8.5.5.9 with IBM Java 8 SR3, SR5
IBM z13 + IBM z14 – SLES 12 SP1 – 4 IFLs SMT-2
DayTrader 3

58. © 2017 IBM Corporation
58IBM Z
Liberty DayTrader 3 – Linux on Z – NoSSL
IBM z14 vs Intel Broadwell
IBM Liberty 8.5.5.9 with DayTrader3 with IBM Java 8 SR5
IBM z14 – SLES 12 SP1 –4 IFLs SMT-2
Intel Xeon E5-2690v4 – RHEL 7.2– 4 cores HT
IBM z14 + Java 8 SR5 up to 1.6x better throughput over Intel Broadwell
(Controlled measurement environment, results may vary)

59. © 2017 IBM Corporation
59IBM Z
Liberty DayTrader 3 – Linux on Z – AES-GCM
IBM z14 vs Intel Broadwell
(Controlled measurement environment, results may vary)
IBM Liberty 8.5.5.9 with DayTrader3
IBM z14 with IBM Java 8 SR5 – SLES 12 SP1 – 4 IFLs SMT-2
Intel Xeon E5-2690v4 – Oracle Hotspot8_131– RHEL 7.2 – 4 cores HT
IBM z14 + Java 8 SR5 AES-GCM cryptography up to 2.6xbetter throughput over Intel
Broadwell

60. © 2017 IBM Corporation
60IBM Z
IBM Z: Designed for Trusted Digital Experiences
Pervasive
Encryption is the
New Standard
100% encryption of all data
Zero application changes
Zero impact to service levels
Protect client and corporate from
internal and external threats
Analytics & Machine Learning for
Continuous Intelligence Across
the Enterprise
Anticipate customer needs and embed
insight in every business transaction
Dramatically faster lifecycle management
of behavioral models with more memory
and greater processing capacity
Derive impactful insights by combining
IBM Z data with other structured and
unstructured external data sources
Open Enterprise Cloud to
Extend, Connect
and Innovate
Cut new service build time by 90% using
secure APIs on IBM Z and advanced
DevOps
Seamlessly connect any service from
public and private cloud with transactions
and data on IBM Z
Accelerate innovation with an ecosystem
of partners to develop and manage
enterprise wide applications leveraging
1000’s open source software packages
Container Pricing for IBM Z provides new flexibility for modern digital workloads

61. © 2017 IBM Corporation
61IBM Z
What’s new with Db2 for z/OS - Db2 12 Highlights
Redefining enterprise IT for digital business and the mobile app economy
§ Scale and speed for the next era of mobile applications
• Super fast ingest rate -- over 11 Million Inserts per second
for IOT, Mobile and Cloud*
• 280 trillion rows in a single Db2 table, with agile partition
technology
• DRDA Fast Load for easier loading of data from distributed
clients
§ In-Memory database
• Advanced in-memory techniques in Db2 12 means faster
transactions with less CPU
§ Deliver analytical insights faster,expand to more
applications
• 2-10x improvement for modern analytics workloads
• Individual modern analytic queries may see up to 100x
improvement**
• JSON data management improvements
• SQL improvements such as SQL pagination, enhanced
MERGE, piece-wise DELETE
* Under dedicated environment using 12
way data sharing on z13, insertagainst
one table (PBR/Member Cluster) from
zLinux clients. All partitions were GBP
dependentand logging enabled. Up to
11.7 million inserts per second without
index, 5.3 million inserts per second with
index defined.
** Modern analytics queries evaluated
include SQL constructs such as UNION
ALL, outer joins,complex expressions
(CASE, CAST, scalar functions etc)
§ Easier to manage, higher availability
• Db2aaS APIs and automation for self-service
provisioning of resources
• Automatedadmin operations such as RUNSTATS
• More schema and partition flexibility
• TRANSFER OWNERSHIP for easier securityadmin
• Dynamic SQL plan stability
§ The launch pad for Continuous Delivery

62. © 2017 IBM Corporation
62IBM Z
Db2 for z/OS and IBM z14 Hardware Synergy
DBMS Technology Leadership
§ Db2 for z/OS is differentiated in the marketplace
through hw/sw integration
§ z14 includes several new hardware features which
benefit Db2 workloads
§ Integration points for Db2:
• Crypto hw acceleration for faster transparent data encryption
• zHyperLink for ultra-fast Db2 log write I/O and database read
I/O
• New hardware for improved data compression for Db2 tables
• More large memory – up to 32TB single server
• New hw for order-preserving compression for Db2 indexes

63. © 2017 IBM Corporation
63IBM Z
ü accelerate mainframe modernization initiatives involving Big Data
ü gain real-time business insights across z/OS and enterprise data
ü eliminate coding of complex z/OS apps via built-in APIs and interfaces
§ ensures data is secure and in-place with real-time data virtualization
§ supports Hybrid architectures (on-premises, Cloud, Hadoop and MF)
§ broad API support via SQL, NoSQL, SOAP, and REST via z/OS Connect EE
§ z/OS resident optimization for improved performance and TCO
§ abstraction layer for improved productivity and business agility
IBM Data Virtualization Manager for z/OS
The industry’s only Z-resident data virtualization technology!
Virtualize z/OS data with other enterprise data sources in real-time
without data movement to provide comprehensive information that is
readily consumable by analytics, cloud and cognitive applications
Take action now!
Newest additiontoIBM’sdata virtualizationportfolio
IBM Data Virtualization Manager
Common SQL Engine
Get started
YouTube channel – IBM Data Virtualization Manager for z/OS
Announced Oct 3 2017, Generally
Available Nov 3, 2017

64. © 2017 IBM Corporation
64IBM Z
Modernization
Faster, easier delivery of
modern systems of
engagement
(new web portals,mobile
apps, cloud initiatives)
Optimization
Reduce the
cost/complexity of
accessing mainframe
data
(existing ETL processes)
Real-time
Analytics
Need for immediate insight
into your customer or
business
(customer needs/buying
preferences,reduce risk/fraud)
Data Virtualization Use Cases

65. © 2017 IBM Corporation
65IBM Z
Data Virtualization
Manager for z/OS
Data Virtualization Technology Accelerates Real Time Analytics
Predictive Analytics
Discovering patterns/meaning in data
QueryAcceleration
High-speed processing for complexDb2 queries
BI Solution
with Access,Virtualization and Visualization
and Data Preparation
The four cornerstones of
RTA againstdata-in-place
have common metadata
maps to share and reuse
Universal Data Access
Data Virtualization for all enterprise data -
on and off mainframe
DB2 Analytics
Accelerator
QMF for z/OS
Machine Learning
for z/OS
Open Data Analytics
for z/OS

66. © 2017 IBM Corporation
66IBM Z
What’s new with IBM Machine Learning
for z/OS

67. © 2017 IBM Corporation
67IBM Z
Machine Learning for z/OS
complete E2E solution for quicker model development, deployment and
management = Faster ROI
Convert insight into opportunity and opportunity into revenue
Data Scientist
Application
Developer
ML &
Production
Engineers
Hybrid cloud approach to model lifecycle
management & collaboration
§ Platform agnostic model development
§ Leverage enterprise grade open source software
§ Real-time insight embedded with transactions
§ Insight incorporated from any platform
§ Industry leading encryption, security, reliability
& availability

68. © 2017 IBM Corporation
68IBM Z
IBM z Analytics Roadmap
IBM z/OS
Platform for
Apache Spark
IBM Machine
Learning for
z/OS
Optimized Data Layer
Advanced Analytics
Solutions
Data Analytics
Processing engine,
languages/run-times,
and libraries to enable
analytics solutions
Infrastructure and
Accelerators
z13
Db2
Analytics
Accelerator
1H2017 2H2017
IBM Open Data
Analytics for z/OS
IBM Machine
Learning for z/OS
Optimized Data Layer
z14 Db2 Analytics
Accelerator
vIDAA*
* Virtual Accelerator 3Q SOD
• Exploitation of Python
• Full-lifecycle management of PMML
models
• Improved model governance
• DSX Enhancements & Integration
• IBM z14 – security, more
memory, new instructions,
zHyperLink, new SW pricing
• Next generation Accelerator and
Virtual Accelerator appliance
Db2
for
z/OS
• Anaconda and Python
runtimes and libraries
• Improved data access

69. © 2017 IBM Corporation
69IBM Z
Data Ingest Data Processing
• Auto Data
Preparation+
• Visualization
libraries
Model Training
• Auto modelling(CADS/HPO)
• Jupyter Notebook
• Visual model builder (2.0 +)
• Python/scikit learn/Spark
2.1.1 (IzODA)++
• Model Training on Linux++
Deploy
• Single click
deployment
• Multi-model version
support+
• Batch deployment++
Live System
• Spark/MLEAPonline
scoring*
• PMML model online
scoring*
• Runtime performance
monitoring
• HA Scoring Service++
• Evaluation/Feedback for
PMML models++
Data Scientists &
Researchers
Machine Learning& Production Engineers
Data Engineers
Machine Learning& Production Engineers
• Data connector+
• Feedback dataingestion
• Continuous model performance
monitoring
• On-demandretraining+
The Machine Learning Workflow
• July release+
• June release*
• Admin dashboard
• Collaboration in
project+
• Role based user
access control+
• Sept release++

70. © 2017 IBM Corporation
70IBM Z
Machine Learning for z/OS Roadmap - 2017
April 2017 June 2017 July 2017
• Download & Go
common installer
• Jupyter on z support
• Support for
application cluster on
Linux on z
• Consistent User
Interface experience
across model creation
and deployment/
management views
• PMML scoring engine
(SAS/R models
conforming to PMML
standards can be
supported)
• MLeap scoring engine
• Feedback data
ingestion directly to
Db2 for z/OS
• Administration
Dashboard for
resource
management directly
from Web User
Interface
• On demand
retraining
• Multi-version
support
• Model governance
phase 1 – user and
model access
control
• Visual model
builder 2.0
• Support for
additional
transformers and
algorithms
• Auto data
preparation
Sep 2017
• Support for
Python/scikit learn
with IzODA
• Model creation and
training on x86 with
deployment and
scoring remaining on
z/OS
• Train with
Scala/Python/R on
x86
• Batch deployment
• Monitoring and
feedback data
ingestion for PMML
model
• Zero downtime for
scoring service
4Q 2017
• Model Templates – ITOA use case sample
• Online scoring service in CICS integrated
Liberty
• Remote Spark cluster Support
• Sklearn model feedback evaluation
• Sandbox for deployment and scoring
• Automatic retraining / redeployment
• Complete services in application cluster
installed on Linux on Z
• Canvas for Spark
• ODM (Operational Decision Manager)
integration
• Model governance – audit trace
• Automatic path in visual model builder
• Security enhancement for IzODA
• 3rd party authentication product with ML for
z/OS
• Installation simplification by zOSMF workflow

71. © 2017 IBM Corporation
71IBM Z
Challenge
• Integrating disparate/monolithic applications without needing specialized skills
and months of effort.
• Maintaining timeliness & consistency of data across channels.
• Difficult to pinpoint where the bottlenecks and problems are for hybrid apps.
How can we solve
this problem?
HYBRID CLOUD
Use IBM
Application
Discovery to
understand
applications and
IDz to refactor the
code
Open business
logic, data &
transactions from
any z/OS Sub-
system with API’s
via z/OS Connect
Enterprise Edition
in minutes
Automatically
discover & publish
APIs from z/OS
Connect with API
Connect.
Give application
owners end-to-end
view with IBM
Omegamon for
Application
Performance
Management
Understand &
Plan
Expose APIs Consume APIs
End to End
Monitoring
API and Service Enablement
LEVEL

72. © 2017 IBM Corporation
72IBM Z
API Economy – Connected Mainframe: IBM z/OS Connect Enterprise Edition
Truly RESTful APIs to and from your mainframe
for buildingmicroservices andsucceedingin the APIeconomy
APIs to and from the mainframe Comprehensive subsystem support Point-and-click API creation
Try for yourself: ibm.biz/ibmztrial
z/OS Connect EEallows youto:
• Expose zdata& services as RESTful APIs
• Call external APIs fromyourmainframe applications (viaAPIrequester)
IBM API Connect (APImanagement gateway)to:
• Publish APIs and Manage APIs access with keys
• MonitorAPIusage forCharge back to developers
• PerformTraffic management (can throttlerequests & set rate limits in orderto manage throughput)
Learn more:ibm.biz/zosconnectdc

73. © 2017 IBM Corporation
73IBM Z
Blockchain Garage @ Boeblingen IBM Lab
Boeblingen lab Blockchain
Garage engagement model
- Co-creation w/clients
- Jointly designing the solution
- Then implementing a pilot
>100 client workshops by Q3’17
- Leveraging common patters
experienced
IBM Client Centers (Boeblingen
& Zurich) focusing on High
Security Blockchain Network
(HSBN, as premium offering for
our customers) developed a
first set of assets extending
Hyperledger Fabric with IBM-
owned capabilities….
4 IBM DataCenters w/IBM
Blockchain Platform ready
(Frankfurt & London)

74. © 2017 IBM Corporation
74IBM Z
Blockchain project @ Borsa Italiana
(Italian Stock Exchange)
Borsa Italiana company website
IBM company website
Press Release - LSEG links with IBM to build key blockchain solution for SME's
Borsa Italiana, part of London Stock Exchange Group, has teamed up with IBM to build a blockchain solution digitising the issuance of securities for small
and medium enterprises (SMEs) in Europe. Designed to simplify the tracking and management of shareholding information, the new system is focused on creating a
distributed shared registry containing a record of all shareholder transactions, helping to open up new opportunities for trading and investing.
Instead of having to deal with the paper trading certificates commonly issued to private companies today, unlisted European SMEs can look forward to enjoying a more digitised,
streamlined and transparent process – giving issuers, regulators, investors and others increased insight into company information.
Plus, this blockchain solution is aimed at giving the SMEs better access to credit and linking them into a broader and more mature ecosystem, so that they can set up new
trading networks and obtain funding by sharing financial data in a security-rich and transparent public arena.
Taking the lead
The system, built on the Hyperledger Fabric version 1.0 blockchain framework, is designed to help ensure that highly sensitive securities data can be shared amongst
permitted network participants while remaining secure and gated. It was developed in collaboration with IBM and is now undergoing an initial test phase with a small group of partners
and clients.
Commenting on the project, Raffaele Jerusalmi, CEO, Borsa Italiana, said:
"Through our work with IBM on this blockchain solution, Borsa Italiana is taking the lead in transforming the way European SMEs can manage their shareholder
data and at the same time expand credit access – all on a trusted digital platform."
Chris Corrado, Group COO and CIO, LSEG, added:
"LSEG is testing the use of blockchain technology in a financial business network where data segregation and confidentiality is vital. By working with IBM, a pioneer
in enterprise-class blockchain solutions, we are committed to building, testing, and scaling our capabilities in emerging technologies over time."

75. © 2017 IBM Corporation
75IBM Z
& finally…..Container Pricing for IBM Z

76. © 2017 IBM Corporation
76IBM Z
z14 Announcement – Container Pricing for IBM Z
Container Pricing delivers line-of-sight pricing to specificsolutions
Container Pricing for IBM Z will provide:
– Greatly simplified software pricing for qualified solutions
– More flexible deployment optionsto support best technicalfit, not driven by pricing
– Extremely competitive economics that are directly relevant to each solution
– Ability to combine different pricingmetrics in the same logicalpartition
Container Pricing will initiallysupport three keysolutions:
– ApplicationDevelopment andTest Solution – treble your DevTest capacity
– New Application Solution– better than cloud pricing for new z/OS applications
– Payments Pricing Solution – first of a kind pricing for the banking industry

77. © 2017 IBM Corporation
77IBM Z
Container Pricing for IBM Z
Container Pricing will provide simplified software pricing, combining flexible deployment
options with competitive economics that are directly relevant to those solutions.
Container Pricing will simplify pricing and billing on the IBM Z platform, by superseding a
number of existing price offerings and by fully automating the billing process.
Container Pricing will support qualified solutions on IBM z13 and z14 servers.

78. © 2017 IBM Corporation
78IBM Z
Scope of Container Pricing for IBM Z
Container Pricing can scale from collocated solutions within existing LPARs,through
to separate LPARs, up to multiple-LPAR solutions.
No directimpact to the cost of unrelated workloads
Deploymentdecisions can be optimized for technical excellence
• Optimized for technicalrequirementsand preferences– not for pricing
Solution level metering and controls embedded in the operating system
• Automatic reporting and billing – no Excelrequired

79. © 2017 IBM Corporation
79IBM Z
Container Pricing for IBM Z – Key Concepts
the Container
• The pricing container is the method of measuring the scope of a workload for pricing
• Containers provide the pricing and billing infrastructure, not the actualpricing metrics
• There are no additional technical virtualisationlayersthat enable the container
the Solution
• It is the solutionthat runs inside the container that is priced
• Prices are specific to solutions and price points differ betweensolutions
• There are 3 different solutions that have been announced
The container is the infrastructure for the pricing and billing
The solutions are the specific offerings that are sold and priced.

80. © 2017 IBM Corporation
80IBM Z
z14 Announcement – 3 supported solutions
IBM initially announces three solutions that will be enabled with Container
Pricing:
The Application Developmentand TestSolutionwillprovide highly competitive stand-alone pricing
for z/OS based development and test workloads. ModernDevOpstooling can be optionally added at
uniquely discounted prices.
The New ApplicationSolution willprovide a highly competitive stand-alone priced offering for new
z/OS applications, such as CICS TS or WebSphere applications, that are notcurrently runningon
any Z platform server. This is the strategic replacement for the current zCAP and IWP priced
offerings.
The Payments Solutionwillprovide a ‘per payment’pricing option for IBM FinancialTransaction
Manager for z/OS deployments.This new offering directly ties operationalcost to businessvalue by
basing the price on the number of payments processed, ratherthan capacity used to processthem.

81. © 2017 IBM Corporation
81IBM Z
Application Development and Test Solution (DevTest)
Treble your DevTest capacity at no additional MLC cost
Three easy steps:
1. Agree your existing base DevTest workload size
2. Define your desired DevTestcapacity (up to treble your existing base)
3. Pay no more for MLC for up to treble the agreed base capacity
You need enough OTC entitlement for the new base capacity
You can add new DevOps tooling at uniquely discounted prices

82. © 2017 IBM Corporation
82IBM Z
New Application Solution
You can add new z/OS workloads, co-located with existing environments,
and pay a highly-competitive stand-alone price
– Does not impact IBM pricing of other workloads
– You determine the size of the container
– Container size sets the billing for all capacity-priced IBM software
– For reference-based software,licensing is only to the container size

83. © 2017 IBM Corporation
83IBM Z
Instant payments will
dramatically shift
Payments
Processing from
batch to real time
Real Time analytics
and data insight
Sub-Second response for
DC operation
Unpredictable Peaks
Most be scalable
Vertically& Horizontally
Increased demands on IT security
Continuous availability
0
5000
10000
15000
20000
25000
30000
35000
40000
45000
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24
Adding Payments workload onto existing machine usage profile
Existing machine usage profile Capacity requirements for Payments
A competitive price per
Production Payment processed
• Charged monthly, in arrears.
• z/OS SW Stack
• zHW* (for HA & DR)
FTM zSW
Licensing
+ zHW
payment*
Up Front For life of term
Client
Commitment
IBM Commitment *zHW is optional
Client Value
• Pay just for transactions processed. No peak/whitespace = zero ITwastage.
• Cost predictability & consistency.
• Costs linked directly to usage, and inherently to business adoption & growth rates.
• Takes risk from client re uncertainty of volumes, business growth etc.
• Production payments only charged. No cost for development/test.
• Protect client from any perceived product inefficiencies (heavy MIPS burner).
• Highly competitive price per payment.
Payments Workloads = IBM Z
Utility Model, On-Premise, on Z
• Payments Workloads = IBM Z technology
• Capacity based pricing not always
competitive (for spiky, digital workload
profile).
Payments on Z

84. © 2017 IBM Corporation
84IBM Z
Technical enhancements to support Container Pricing
New Tenant Resource Group capability within z/OS Workload Manager (WLM)
• Allows the metering and optional capping of workloads
• Ability to map workloads directly to Container Pricing
Enhancements to SCRT to capture eligible Container Pricing workloads
• Allows for billing of those solutions independently of traditional Sub-Capacity pricing
Additional enhancements to SMF, z/OSMF, RMF, SDSF
• General support for Tenant Resource Group monitoring and tracking
You determine where to deploy using WLM: z/OS and SCRT do the rest

85. © 2017 IBM Corporation
85IBM Z
Availability of Container Pricing
z/OS will be enhanced to support Container Pricing by year end 2017.
• z/OS enhancements will be enabled in z/OS v2.3 and z/OS v2.2.
• Plan for PTF availability: Mid-December 2017.
New FIXCAT for Container Pricing: IBM.Function.PricingInfrastructure
• All required PTFs (enhancements and service) will specify this FIXCAT
• This is a simple reference point to ensure all required service is applied
SCRT Support:
• Container Pricing will require SCRT Java.
• Support will be available in December 2017 via:
• PTF on z/OS V2R3.
• SCRT web deliverable.

86. © 2015 IBM Corporation86