Maximize Performance and Availability with SPARC SuperCluster
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Maximize Performance and Availability with SPARC SuperCluster
- 1. SPARC SuperCluster: La plataforma ideal para consolidación, con el máximo nivel de desempeño" Pablo.Silva@Oracle.Com Solution Architect
- 2. What is SPARC SuperCluster?
- 3. Cloud Computing? National Institute of Standards and Technology definition is: • Cloud computing is a model for enabling convenient, on-demand network access to a shared pool of configurable computing resources (e.g., networks, servers, storage, applications, and services) that can be rapidly provisioned and released with minimal management effort or service provider interaction. Key Cloud Layers Deployment Characteristics • Applications Models • Rapid provisioning • Platform • Private Cloud • High elasticity • Infrastructure • Public Cloud • Access anywhere, any time • Hybrid Cloud • Resource pooling • Pay as you go
- 5. Innovation to achieve maximum performance from Application to Storage?
- 6. Innovation to solve the typical Bottlenecks Problems? Addressing SAN bottlenecks Massive Parallel Grid Dumb SAN of DB Content with ultra- fast intelligent Storage Database Exadata Storage Database Traditional Servers Servers Servers SAN 6
- 7. Transforming The Technology Stack
- 8. Engineered Systems & Appliances Datacenter Transformation Through Innovation Purpose Built General Purpose Exadata Exalogic ZFS Storage Appliance SPARC SuperCluster Database Appliance Exalytics
- 9. SPARC Super Cluster Hardware and Software Engineered to Work Together • MAA for General purpose • Flexible for DataBase, MiddleWare & Applications • Optimized and integrated for better performance, reliability, security, management • Reduced change management risk • Lower cost of ownership
- 10. SPARC Supercluster SPARC T4 Servers Redefining General Purpose • 12 World Records over IBM and HP across every tier • Built-in Crypto Exadata Storage Server • Intelligent Storage Grid InfiniBand NetWork • Hybrid Columnar Compression • 40 GB/s for Storage & Nodos • Smart Cache Flash connectivity • 1.0M IOPS, 32 GB/s throughput • 5-8x the speed of current networks Exalogic Elastic Cloud ZFS Storage Appliance • Active GridLink for RAC • Hybrid Storage Pools • Extreme Java Performance 10x • DTrace Analytics • JDBC over SRP • Built-in Data Services Solaris 11 Integrated Management • OVM Live Migration • Compatibility Solaris 8,9 &10 • Enterprise Manager (opt.) • Cloud provisioning in seconds • Near zero virtualization • EM Ops Center (opt.) overhead • ILOM
- 11. SPARC SuperCluster Architecture • Best infrastructure solution for enterprise applications • 1,200 CPU threads Exadata Storage Servers • 4 TB DRAM • 97 to 198 TB Hard Disk SPARC T4-4 Compute Nodes ZFS Storage Appliance • 8.66 TB Flash InfiniBand Switches • 1.2M IOPS • 42 GB/sec Storage Bandwidth • 896 Gb/sec InfiniBand Interconnect
- 13. SPARC Server Roadmap Maximizing Results SPARC SERVER T4
- 14. SPARC T4 Java & Database Performance SPECjEnterprise2010 2.4x faster than Power7 & DB2 and WebSphere 7x better price performance for Java IBM P780 T4-4 Servers $1,297,956 $467,856 See benchmark attribution slide.
- 15. SPARC T4-4 World Record TPC-H 1TB Beats IBM’s Claims of 4:1 Core Performance Advantage $800K cheaper and 22% faster than Power7 & Sybase $125K cheaper and 3.6x faster than HP Superdome & Oracle 11g TPC-H @1000GB 201,487 164,747 140,181 QphH As of Dec 16, 2011 See benchmark substantiation slides
- 16. SPARC SuperCluster Innovations For DataBase & MDWL
- 17. SPARC SuperCluster Architecture Diagram Customer 10GBE Network User T4-4 Node 1 T4-4 Node 2 T4-4 Node 3 T4-4 Node 4 Solaris 11 Solaris 10 Solaris 10 Solaris 11 GP Domain GP Domain GP Domain GP Domain Solaris 11 Solaris 11 Solaris 11 Solaris 11 Exadata Dom Exadata Dom Exadata Dom Exadata Dom InfiniBand Network ZFSS EXADATA EXADATA EXADATA STORAGE ZFS STORAGE APPLIANCE STORAGE STORAGE STORAGE AAPPLIANCE
- 18. Exadata & SuperCluster Storage Servers Innovations Up to 10–50X Performance Improvements Intelligent storage Hybrid Columnar Compression – Smart Scan query offload – 10x compression for warehouses – 15x compression for archives – Scale-out storage Data remains + + + Uncompressed compressed for scans Smart Flash Cache and in Flash – Accelerates random I/O up to 30x primary backup – Doubles data scan rate Benefits test Multiply standby dev Compressed
- 19. Exalogic Elastic Cloud Exabus – High Speed Network Virtualization Direct Memory Java I/O for Exalogic & SPARC SuperCluster Standard Hardware I/O Exabus Application Application Application Application Application Buffer Application Buffer Copy TCP IP Transport Kernel 20% Buffer Copies Zero Buffer Copy 40% Transport Processing Direct Memory Access 40 % Kernel Context Switches Kernel Bypass 4X Throughput, 6X Lower Latency 19
- 20. SPARC SuperCluster Operating & Management System For Cloud Computing 20
- 21. Oracle Solaris 11 Mission Critical Meets Cloud Designed-in Scalable Advanced Simplified Virtualization Data Management Protection Administration • Fully virtualized: • 10x storage • Immutable root • 3x faster OS, network and savings for file system provisioning storage virtualization vs VMware • Virtual network • 2x storage • 4.3x faster • 4x faster services built in compression OpenSSL upgrades vs AIX vs Red Hat • 15x lower • 2x SPC-1 IOPs virtualization vs NetApp at ½ • 2.5x faster overhead the cost • 3x faster ZFS reboots vs Vmware encryption on vs Red Hat SPARC vs • 4x lower latency Westmere x86 • 46% fewer vs. KVM hardware outages using FMA 2,700 Projects 400 Unique Innovations 56 Million Tests
- 22. SPARC SuperCluster Virtualization “Hard Partitions” for Oracle per core licensing Hypervisor Solaris Partitions Oracle VM for SPARC Solaris Zones (Logical Domains) Granular Granular Dynamic Dynamic Low-overhead Low-overhead Solaris 8, 9 & 10 Zones One OS instances per VM Many partitions per OS instance Included at No Cost! Included at No Cost! © 2011 Oracle and/or its affiliates – Confidential / Internal Use Only 22
- 23. SPARC SuperCluster Management Unified Apps to Disk Management Integrated Infrastructure Management + Integrated Application-to-Disk Management + Integrated Lifecycle Management + Integrated Systems Management & Support Hardware. Software. Management. Engineered Together.
- 24. SPARC SuperCluster For Consolidation
- 25. Consolidate on SPARC SuperCluster Simplify , Accelerate, and Reduce Operating Expenses • Consolidate up to 100 legacy midrange servers to 1 SPARC SuperCluster ERP • Fewer, smarter processors CRM dramatically reduce: • Software licensing costs • Support costs HR • Power and cooling • Floor space consumption BI • Run a wide range of new and existing databases and multi-tier eCom applications on a single system
- 26. SPARC SuperCluster Virtualization T4-4 Node 1 T4-4 Node 2 T4-4 Node 3 T4-4 Node 4 • Built-in, low overhead Solaris 11 Solaris 10 Solaris 10 Solaris 11 virtualization GP Domain GP Domain GP Domain • Optimized Exadata GP Domain domains Solaris 11 Solaris 11 Solaris 11 Solaris 11 • General Purpose Domains support full Exadata Dom Exadata Dom Exadata Dom Exadata Dom range of workloads InfiniBand Network • Runs Solaris 10 and 11 Exa data Exa data Exa data Exa data Exa data Exa data ZFSSA • Simultaneously run multiple databases, applications and tiers
- 27. SPARC SuperCluster Expansion Add Up To 8 Cabinets Connected By InfiniBand
- 28. SPARC SuperCluster For TCO savings
- 29. SPARC SuperCluster Delivers Cost Savings Consolidate Sun Fire E25K Servers and EMC to Reduce TCO 5x Comparison Sun Fire E25K and EMC Storage SPARC SuperCluster Systems 2 x Sun Fire E25K SPARC SuperCluster Half Rack Processors, Cores, 144 processors, 288 cores, 1.2 TB 8 processors, 64 cores, 2 TB memory Memory memory Storage EMC VMAX SE Oracle Exadata Storage Server Storage Capacity 87 TB 81.6 TB Oracle Database Enterprise Edition, Hardware Licensed Oracle Database Enterprise Edition, Oracle RAC, Advanced Partitioning, Software Oracle RAC, Advanced Partitioning Oracle Exadata Storage Server Software Sun Fire E25K and SPARC 5 Year TCO ($M) EMC Storage SuperCluster TCO Savings Hardware Acquisition $.7 ($.7) Hardware Service $6.4 $0.4 $6.0 Software Acquisition $0.14 ($.14) Software Service $3.9 $.7 $3.2 Power and Cooling $0.26 $0.04 $0.22 5x Lower TCO Floor Space $0.11 $0.02 $0.09 Over 5 Years Integration $0.02 ($0.02) Total $10.7 $2.1 $8.6 29 Copyright © 2012, Oracle and/or its affiliates. All rights reserved. Confidential – Oracle Internal Source: Oracle Value Navigator See slide 35 for information on creating business cases for your customers.
- 30. SPARC SuperCluster Delivers Cost Savings Consolidate SPARC Enterprise M5000 Servers and EMC to Reduce TCO 2x Comparison SPARC Enterprise M5000 and SPARC SuperCluster EMC Storage Systems 10 x SPARC Enterprise M5000 SPARC SuperCluster Half Rack Processors, Cores, 80 SPARC 2.15-GHz processors, 8 processors, 64 cores, 2 TB Memory 160 cores, 1.3 TB memory memory Storage EMC VMAX SE Oracle Exadata Storage Server Storage Capacity 87 TB 81.6 TB Oracle Database Enterprise Edition, Oracle Database Enterprise Edition, Hardware Licensed Oracle RAC, Advanced Partitioning, Oracle RAC, Advanced Partitioning, Software Oracle Exadata Storage Server Oracle WebLogic Suite Software, Oracle WebLogic Suite SPARC Enterprise M5000 5 Year TCO ($M) and EMC Storage SPARC SuperCluster TCO Savings Hardware Acquisition $.7 ($.7) Hardware Service $1.5 $0.4 1.1 Software Acquisition $0.14 ($0.14) Software Service $3.4 $1.1 $2.3 Power and Cooling $0.23 $0.04 $0.19 2x Lower TCO Floor Space $0.08 $0.02 $0.06 Over 5 Years Integration $0.02 ($0.02) Total $5.1 $2.4 $2.8 Source: Oracle Value Navigator 30 Copyright © 2012, Oracle and/or its affiliates. All rights reserved. Confidential – Oracle Internal See slide 35 for information on creating business cases for your customers.
- 31. SPARC SuperCluster Delivers Better Value than IBM 4x Better /Performance compared to IBM Power 780 Comparison IBM Systems SPARC SuperCluster Systems 2 x IBM Power 780 SPARC SuperCluster Full Rack Processors, Cores, Memory 16 processors, 128 cores, 4 TB 16 processors, 128 cores, 4 TB Storage DS8700 and N3400 Oracle Exadata Storage Server Storage Capacity 103.2 TB 103.2 TB Oracle Database Enterprise Edition, Oracle Database Enterprise Edition, Hardware Licensed Software RAC, Advanced Partitioning, Oracle Oracle RAC, Advanced Partitioning Exadata Storage Server Software SPARC Comparison IBM Systems SuperCluster Oracle Advantage Hardware Acquisition $6.0 $1.2 Hardware Service $2.4 $0.7 Software Acquisition $4.2 $2.4 Software Service $4.6 $2.6 Acquisition and 5 Year Cost $17.3 $6.9 2.5x Lower of Ownership 2.5x Lower Cost Relative Performance 1x 1.5x 4x Better Price/Performance Relative 4x Better Price/Performance $1.0 $0.3 Price/Performance 31 Copyright © 2012, Oracle and/or its affiliates. All rights reserved. Confidential – Oracle Internal Source: Oracle Value Navigator See slide 35 for information on creating business cases for your customers.
- 32. Consolidate Superdome for Significant Savings Reduce TCO up to 3.5x Comparison HP Systems SPARC SuperCluster Systems 2 x HP Superdome 2 Itanium SPARC SuperCluster Half Rack Processors, Cores, 48 processors, 192 cores, 2 TB 8 processors, 64 cores, 2 TB memory Memory memory Storage HP 3PAR T800 Oracle Exadata Storage Server Storage Capacity 77.6 TB 81.6 TB Oracle Database Enterprise Edition, Hardware Licensed Oracle Database Enterprise Edition, Oracle RAC, Advanced Partitioning, Software Advanced Partitioning, Oracle RAC Oracle Exadata Storage Server Software SPARC SuperCluster 5 Year TCO ($M) HP Systems Half Rack TCO Savings Hardware Acquisition $0.7 ($0.7) Hardware Service $1.9 $0.4 $1.5 Software Acquisition $0.14 ($0.14) Software Service $6.9 $1.3 $5.6 3.5x Lower TCO Integration $0.02 ($0.02) Over 5 Years Total $8.8 $2.6 $6.2 Source: Oracle Value Navigator 32 Copyright © 2012, Oracle and/or its affiliates. All rights reserved. Confidential – Oracle Internal See slide 35 for information on creating business cases for your customers.
- 33. SPARC SuperCluster Reduce the Complexity and Risk © 2011 Oracle and/or its affiliates – Confidential / Internal Use Only 33
- 34. Fundamental Value of Engineered Systems Easy, Predictable, Just Works Cut Deployment Times by up to 75% High Availability Built in 99.999% Uptime 100’s of Components 1 Machine 1000’s of Hours 1 Day
- 35. Standardized and Simple to Deploy • All SPARC SuperCluster servers are the same • Factory integrated • Factory tested • Runs existing applications • No SPARC SuperCluster certification required • Solaris/SPARC binary compatiblity guarantee • Leverages Oracle ecosystem • Skills • Knowledge base Deploy in Days, • People Not Months • Partners © 2011 Oracle and/or its affiliates – Confidential / Internal Use Only 35
- 36. Oracle Premier Support For Full Stack Complete Coverage Service and Tools and Product Support Resources Innovation Quickly diagnose Get the most of your Keep pace with change and resolve issues Oracle products with and capitalize on proactive services new opportunities
- 37. Reduced Complexity Hardware and Software Engineered to Work Together VS. 37
- 38. SPARC SuperCluster Unmatched Business Value Extreme • Run existing applications up to 4x – 8x faster • Up to 10x to 50x database acceleration with Exadata Storage Servers Performance • 4x – 8x better price/performance than competing servers Complete • TCO savings of up to 5x over 5 years Lower TCO • Cut deployment time and administration costs up to 75% • Dramatically reduce software licensing and administrative overhead • Consolidate up to 100 legacy servers to 1 SuperCluster with no software Simplified migration costs • Built-In virtualization, security and systems management Consolidation • Oracle Solaris offers guaranteed investment protection 38
- 40. Inspiration from Everyday Life • Modular design simplifies production • Allows differentiation through colours, character themes and packaging
- 41. SPARC SuperCluster Business Value Extreme • Optimized performance for Full Stack Applications Performance • Based on world record breaking SPARC T4-4 servers • Exadata Storage & Exalagic Cloud performance Complete • Reduced storage requirements Lower TCO • Accelerates deployments • Leverages existing investments Datacenter • Runs a mix of Solaris 10 and 11 • Runs multiple databases Consolidation • Runs multiple application tiers 41
Notes de l'éditeur
- Multiple definitions of cloud – pulled from two places:Wikipedia and National Institute of Standards and Technology (NIST) Definition of Cloud Computing: Internet based computing, shared resources, delivered on demand like a public utility. Those shared resources can be networks, servers, storage, applications and services. Over the internent requires less model. Essential Characteristics:On-demand self-service. A consumer can unilaterally provision computing capabilities, such as server time and network storage, as needed automatically without requiring human interaction with each service’s provider. Broad network access. Capabilities are available over the network and accessed through standard mechanisms that promote use by heterogeneous thin or thick client platforms (e.g., mobile phones, laptops, and PDAs). Resource pooling. The provider’s computing resources are pooled to serve multiple consumers using a multi-tenant model, with different physical and virtual resources dynamically assigned and reassigned according to consumer demand. There is a sense of location independence in that the customer generally has no control or knowledge over the exact location of the provided resources but may be able to specify location at a higher level of abstraction (e.g., country, state, or datacenter). Examples of resources include storage, processing, memory, network bandwidth, and virtual machines. Rapid elasticity (dynamic capcity) . Capabilities can be rapidly and elastically provisioned, in some cases automatically, to quickly scale out and rapidly released to quickly scale in. To the consumer, the capabilities available for provisioning often appear to be unlimited and can be purchased in any quantity at any time. Measured Service. Pay what you drink; Cloud systems automatically control and optimize resource use by leveraging a metering capability at some level of abstraction appropriate to the type of service (e.g., storage, processing, bandwidth, and active user accounts). Resource usage can be monitored, controlled, and reported providing transparency for both the provider and consumer of the utilized service. The cloud can be delivered in different service models (SaaS, PaaS, and IaaS). Deployed in private cloud (dedicated, public shared, or hybrid – mix between both).
- Multiple definitions of cloud – pulled from two places:Wikipedia and National Institute of Standards and Technology (NIST) Definition of Cloud Computing: Internet based computing, shared resources, delivered on demand like a public utility. Those shared resources can be networks, servers, storage, applications and services. Over the internent requires less model. Essential Characteristics:On-demand self-service. A consumer can unilaterally provision computing capabilities, such as server time and network storage, as needed automatically without requiring human interaction with each service’s provider. Broad network access. Capabilities are available over the network and accessed through standard mechanisms that promote use by heterogeneous thin or thick client platforms (e.g., mobile phones, laptops, and PDAs). Resource pooling. The provider’s computing resources are pooled to serve multiple consumers using a multi-tenant model, with different physical and virtual resources dynamically assigned and reassigned according to consumer demand. There is a sense of location independence in that the customer generally has no control or knowledge over the exact location of the provided resources but may be able to specify location at a higher level of abstraction (e.g., country, state, or datacenter). Examples of resources include storage, processing, memory, network bandwidth, and virtual machines. Rapid elasticity (dynamic capcity) . Capabilities can be rapidly and elastically provisioned, in some cases automatically, to quickly scale out and rapidly released to quickly scale in. To the consumer, the capabilities available for provisioning often appear to be unlimited and can be purchased in any quantity at any time. Measured Service. Pay what you drink; Cloud systems automatically control and optimize resource use by leveraging a metering capability at some level of abstraction appropriate to the type of service (e.g., storage, processing, bandwidth, and active user accounts). Resource usage can be monitored, controlled, and reported providing transparency for both the provider and consumer of the utilized service. The cloud can be delivered in different service models (SaaS, PaaS, and IaaS). Deployed in private cloud (dedicated, public shared, or hybrid – mix between both).
- Here is the family of engineered systems and appliances. On the left you see the purpose build systems, with Exadata designed to run the Oracle database, and Exalogic designed to run Oracle middleware. As well as Exalytics and the database appliances. On the right is the general purpose SPARC SuperCluster which runs the Oracle parallel database, the Oracle fusion middleware parallel java system, and all your enterprise applications. The SPARC SuperCluster runs the Solaris operating system. And that’s extremely important, because it gives our SPARC customers a very, very smooth upgrade path. But it also gives our customers running older hardware from HP and IBM a powerful system to deploy Oracle applications for lower cost and with much better performance, and a management system for the entire stack. Exadata: OLTP/Data Warehouse, Database Consolidation, Database UpgradeExalogic: Middleware Upgrade, Mainframe modernization, Middleware platforms standardizationSPARC SuperCluster: general purpose, multi-tier applications, datacenter consolidation and virtualization
- The Oracle SPARC SuperCluster T4-4 is a general purpose engineered solution for running a wide range of enterprise applications with the highest levels of performance and mission critical reliability. The SPARC SuperCluster T4-4 utilizes high performance software from Oracle Exadata and Oracle Exalogic combined with new SPARC T4-4 servers, Oracle Exadata Storage Servers, ZFS Storage Appliance, and InfiniBand technology, and Oracle Solaris 11. The full capabilities of Oracle Exadata along with Exadata Storage Servers will be included with every SPARC SuperCluster T4-4. Exadata Storage Servers are specially optimized for Oracle Database 11gR2 operations and will provide outstanding performance for both transaction-based and decision support workloads. An optional external storage rack can be configured for additional performance and capacity.The SPARC SuperCluster T4-4 provides the accelerated middleware processing of the Oracle Exalogic Elastic Cloud. The new SPARC T4 processor delivers a 5x improvement in single thread performance over the previous generation along with on-chip crypto acceleration providing enhanced data security and privacy without the performance penalty Shared Storage: Includes InfiniBand-attached ZFS storage cluster for high performance, fully redundant disk storage Oracle Enterprise Manager Ops Center is available to manage the software environment on the SPARC SuperCluster. Using Enterprise Manager Ops Center, administrators can perform proactive monitoring and detailed configuration analysis of their SPARC SuperCluster. Supports Oracle Solaris 11 and 10
- Multiple definitions of cloud – pulled from two places:Wikipedia and National Institute of Standards and Technology (NIST) Definition of Cloud Computing: Internet based computing, shared resources, delivered on demand like a public utility. Those shared resources can be networks, servers, storage, applications and services. Over the internent requires less model. Essential Characteristics:On-demand self-service. A consumer can unilaterally provision computing capabilities, such as server time and network storage, as needed automatically without requiring human interaction with each service’s provider. Broad network access. Capabilities are available over the network and accessed through standard mechanisms that promote use by heterogeneous thin or thick client platforms (e.g., mobile phones, laptops, and PDAs). Resource pooling. The provider’s computing resources are pooled to serve multiple consumers using a multi-tenant model, with different physical and virtual resources dynamically assigned and reassigned according to consumer demand. There is a sense of location independence in that the customer generally has no control or knowledge over the exact location of the provided resources but may be able to specify location at a higher level of abstraction (e.g., country, state, or datacenter). Examples of resources include storage, processing, memory, network bandwidth, and virtual machines. Rapid elasticity (dynamic capcity) . Capabilities can be rapidly and elastically provisioned, in some cases automatically, to quickly scale out and rapidly released to quickly scale in. To the consumer, the capabilities available for provisioning often appear to be unlimited and can be purchased in any quantity at any time. Measured Service. Pay what you drink; Cloud systems automatically control and optimize resource use by leveraging a metering capability at some level of abstraction appropriate to the type of service (e.g., storage, processing, bandwidth, and active user accounts). Resource usage can be monitored, controlled, and reported providing transparency for both the provider and consumer of the utilized service. The cloud can be delivered in different service models (SaaS, PaaS, and IaaS). Deployed in private cloud (dedicated, public shared, or hybrid – mix between both).
- Benchmark disclaimer and data are included below. Based on published results on SPECJEnt, SPARC T4-4 achieved a 2.4x performance advantage over IBM’s published Power 780 benchmark. This reflects roughly 7x better price/performance for Java and demonstrates the multitier capability of SPARC T4 as this benchmark also includes database level operations. And the platform for achieving these results is less than half the cost of the IBM Power 780 configuration used in the benchmark.SPEC and the benchmark name SPECjEnterprise are registered trademarks of the Standard Performance Evaluation Corporation. Other names may be trademarks of their respective owners. Competitive data obtained from http://www.spec.org as of the date located next to the respective claim and this report. See the Website for latest results. SPARC T4-4 cluster: 40,104.86 SPECjEnterprise2010 EjOPS; 1,671 SPECjEnterprise2010 EjOPS performance per processor across the configuration. IBM Power 780 and IBM Power 750 Express: 16,646.34 SPECjEnterprise2010 EjOPS; 1,387 SPECjEnterprise2010 EjOPS performance per processor across the configuration. SPECjEnterprise2010 models contemporary Java-based applications that run on large Java EE (Java Enterprise Edition) servers, backed by network infrastructure and database servers. The Application tier cost of acquisition for four SPARC T4-4 servers with Solaris 10 is $ $467,856 or $11.67/SPECjEnterprise2010 EjOPS. Oracle pricing from https://shop.oracle.com/ on 9/26/1011. The Application tier cost of acquisition for IBM Power 780 (3.86GHz Power7, 512GB RAM, AIX 7.1) is $1,297,956 or $77.97/SPECjEnterprise2010 EjOPS. IBM system pricing is from http://tpc.org/results/FDR/TPCH/TPC-H_1TB_IBM780_Sybase-FDR.pdf, adjusted to license 64 cores (w/o TurboCore). AIX 7.1 pricing is from http://www-304.ibm.com/easyaccess3/fileserve?contentid=214347. $77.97/$11.67=6.7x. Oracle app. tier configuration occupies 20RU of space, 40,104.86/20=2005 SPECjEnterprise2010 EjOPS/RU. IBM app. tier configuration occupies 16RU of space, 16,646.34/16=1040 SPECjEnterprise2010 EjOPS/RU. 2007/1040=1.92x round nearest 2x.
- SPARC T4 also generated a solid result in the Data Warehousing space, reflected by excellent performance and price/performance on the TPC-H benchmark. Based on results, our T4 configuration was cheaper and more performant that both IBM and HPs published results. The HP server had 64 cores and the Power7 server had 32 cores. The SPARC T4-4 had 32 cores therefore the SPARC T4-4 server had better total system performance and better per core performance Furthermore, the SPARC T4 processor has a 0.50 core factor and the Power7 and Itanium processors have 1.0 core factors. Thus, the SPARC T4-4 offering is better in performance and price/performance. Substantiation is included below.TPC-H, QphH, $/QphH are trademarks of Transaction Processing Performance Council (TPC). For more information, see www.tpc.org. SPARC T4-4 201,487 QphH@1000GB, $4.60/QphH@1000GB, avail 10/30/2011, 4 processors, 32 cores, 256 threads; SPARC Enterprise M8000 209,533.6 QphH@1000GB, $9.53/QphH@1000GB, avail 09/22/11, 16 processors, 64 cores, 128 threads; IBM Power 780 QphH@1000GB, 164,747.2 QphH@1000GB, $6.85/QphH@1000GB, avail 03/31/11, 8 processors, 32 cores, 128 threads; HP Integrity Superdome 2 140,181.1 QphH@1000GB, $12.15/QphH@1000GB avail 10/20/10, 16 processors, 64, cores, 64 threads.http://www.tpc.org/results/individual_results/Oracle/Oracle_T4-4_1TB_TPCH_ES_092611.pdf
- Multiple definitions of cloud – pulled from two places:Wikipedia and National Institute of Standards and Technology (NIST) Definition of Cloud Computing: Internet based computing, shared resources, delivered on demand like a public utility. Those shared resources can be networks, servers, storage, applications and services. Over the internent requires less model. Essential Characteristics:On-demand self-service. A consumer can unilaterally provision computing capabilities, such as server time and network storage, as needed automatically without requiring human interaction with each service’s provider. Broad network access. Capabilities are available over the network and accessed through standard mechanisms that promote use by heterogeneous thin or thick client platforms (e.g., mobile phones, laptops, and PDAs). Resource pooling. The provider’s computing resources are pooled to serve multiple consumers using a multi-tenant model, with different physical and virtual resources dynamically assigned and reassigned according to consumer demand. There is a sense of location independence in that the customer generally has no control or knowledge over the exact location of the provided resources but may be able to specify location at a higher level of abstraction (e.g., country, state, or datacenter). Examples of resources include storage, processing, memory, network bandwidth, and virtual machines. Rapid elasticity (dynamic capcity) . Capabilities can be rapidly and elastically provisioned, in some cases automatically, to quickly scale out and rapidly released to quickly scale in. To the consumer, the capabilities available for provisioning often appear to be unlimited and can be purchased in any quantity at any time. Measured Service. Pay what you drink; Cloud systems automatically control and optimize resource use by leveraging a metering capability at some level of abstraction appropriate to the type of service (e.g., storage, processing, bandwidth, and active user accounts). Resource usage can be monitored, controlled, and reported providing transparency for both the provider and consumer of the utilized service. The cloud can be delivered in different service models (SaaS, PaaS, and IaaS). Deployed in private cloud (dedicated, public shared, or hybrid – mix between both).
- The architecture of the Exadata storage cells is that instead of a server asking for a block of data and the block of data coming back to the server, we’re actually constructing queries that are executed in parallel across the different storage devices. Flash memory in the storage device caches the intermediate results, as well as do advanced compression and allow you to run queries and do data warehousing against compressed and encrypted data. This further demonstrates the value of integrated hardware and software. It’s not possible for a conventional storage system to equal this. And so there is no possible way from any other vendor that you can run Oracle Database 11g faster than it runs on Exadata or on SuperCluster by virtue of the fact that we have an architecturally different coupling between the database and the storage. This result of engineering the hardware and software together between the database and storage is very fundamental because that’s what gives us the IO capability and performance of SuperCluster, as well as Exadata.
- Multiple definitions of cloud – pulled from two places:Wikipedia and National Institute of Standards and Technology (NIST) Definition of Cloud Computing: Internet based computing, shared resources, delivered on demand like a public utility. Those shared resources can be networks, servers, storage, applications and services. Over the internent requires less model. Essential Characteristics:On-demand self-service. A consumer can unilaterally provision computing capabilities, such as server time and network storage, as needed automatically without requiring human interaction with each service’s provider. Broad network access. Capabilities are available over the network and accessed through standard mechanisms that promote use by heterogeneous thin or thick client platforms (e.g., mobile phones, laptops, and PDAs). Resource pooling. The provider’s computing resources are pooled to serve multiple consumers using a multi-tenant model, with different physical and virtual resources dynamically assigned and reassigned according to consumer demand. There is a sense of location independence in that the customer generally has no control or knowledge over the exact location of the provided resources but may be able to specify location at a higher level of abstraction (e.g., country, state, or datacenter). Examples of resources include storage, processing, memory, network bandwidth, and virtual machines. Rapid elasticity (dynamic capcity) . Capabilities can be rapidly and elastically provisioned, in some cases automatically, to quickly scale out and rapidly released to quickly scale in. To the consumer, the capabilities available for provisioning often appear to be unlimited and can be purchased in any quantity at any time. Measured Service. Pay what you drink; Cloud systems automatically control and optimize resource use by leveraging a metering capability at some level of abstraction appropriate to the type of service (e.g., storage, processing, bandwidth, and active user accounts). Resource usage can be monitored, controlled, and reported providing transparency for both the provider and consumer of the utilized service. The cloud can be delivered in different service models (SaaS, PaaS, and IaaS). Deployed in private cloud (dedicated, public shared, or hybrid – mix between both).
- So what we exactly we mean by a complete, integrated and business-driven cloud management solution?There are three key aspects of Oracle Enterprise Manager 12c that help accomplish this: Complete Cloud Lifecycle Solution To start with, Oracle Enterprise Manager 12c contains solutions to manage all phases of the building,managing, and consuming an enterprise cloud. Using Oracle Enterprise manager 12c you can build and manage a rich catalog of cloud services – whether it is Infrastructure-as-a-Service, Database-as-a-Service, or Platform-as-a-Service , all from a single product. Integrated Cloud Stack ManagementSecondly, Oracle Enterprise Manager 12c enables integrated management of the entire cloud stack – all the way from application to disk. Oracle Enterprise Manager 12c therefore eliminates much of the integration pains and costs that customers would have to otherwise incur by trying to create a cloud environment by integrating multiple point solutions. Business-Driven Clouds Finally, Oracle Enterprise Manager 12c enables creation of application-aware and business-driven clouds that has deep insight into applications,business services and transactions. Applications – whether they are packaged or home grown – power your businesses and therefore it is critical that an enterprise Cloud platform is not only able to run these applications but also has deep business insight and visibility. As the leading providers of business applications and the middleware that many of your custom applications are built on top of, we are able to offer you a cloud solution that is optimized for business services.
- Multiple definitions of cloud – pulled from two places:Wikipedia and National Institute of Standards and Technology (NIST) Definition of Cloud Computing: Internet based computing, shared resources, delivered on demand like a public utility. Those shared resources can be networks, servers, storage, applications and services. Over the internent requires less model. Essential Characteristics:On-demand self-service. A consumer can unilaterally provision computing capabilities, such as server time and network storage, as needed automatically without requiring human interaction with each service’s provider. Broad network access. Capabilities are available over the network and accessed through standard mechanisms that promote use by heterogeneous thin or thick client platforms (e.g., mobile phones, laptops, and PDAs). Resource pooling. The provider’s computing resources are pooled to serve multiple consumers using a multi-tenant model, with different physical and virtual resources dynamically assigned and reassigned according to consumer demand. There is a sense of location independence in that the customer generally has no control or knowledge over the exact location of the provided resources but may be able to specify location at a higher level of abstraction (e.g., country, state, or datacenter). Examples of resources include storage, processing, memory, network bandwidth, and virtual machines. Rapid elasticity (dynamic capcity) . Capabilities can be rapidly and elastically provisioned, in some cases automatically, to quickly scale out and rapidly released to quickly scale in. To the consumer, the capabilities available for provisioning often appear to be unlimited and can be purchased in any quantity at any time. Measured Service. Pay what you drink; Cloud systems automatically control and optimize resource use by leveraging a metering capability at some level of abstraction appropriate to the type of service (e.g., storage, processing, bandwidth, and active user accounts). Resource usage can be monitored, controlled, and reported providing transparency for both the provider and consumer of the utilized service. The cloud can be delivered in different service models (SaaS, PaaS, and IaaS). Deployed in private cloud (dedicated, public shared, or hybrid – mix between both).
- It is important to understand how the SSC can be virtualized to understand its use as a consolidation platform. Using Oracle VM for SPARC (OVM SPARC) the T4-4 compute nodes can be partitioned into three types of partitions. One is a Database Domain that is used to run S11 and Oracle 11gR2. There can be only one DB Domain per T4-4. A DB Domain does not have to include all processors in a T4-4 node. There is a maximum of 3 domains on a T4-4 node that has a DB domain. DB Domains will access the Exadata storage cells. Only DB Domains running Oracle 11gR2 can use the Exadata storage cells. General Purpose (GP) domains can run S10 or S11 and has their name implies are used to run general purpose applications such as Oracle Ebiz, Siebel, PSFT or even third-party applications. GP Domains will use the ZFS Storage appliance for its disk requirements. GP domains can also access legacy SAN’s. Exalogic domains are domains that run the Exalogic Elastic Cloud software. Exalogic domains will use the ZFSSA for storage. Up to 4 domains can be deployed on any T4-4 nodes but since only one DB Domain is possible on a T4-4 node the other three domains would have to be GP Domains or Exalogic Domains. This slide shows all three types of domains indicating how to virtualize/partition an SSC T4-4. It also shows how it is possible to consolidate app tier and db tier on a single SSC T4-4. It shows that all four T4-4 nodes are used for database domains and are clustered using RAC. These domains will have exclusive access to the 6 Exadata Storage nodes. The other domains nodes are partitioned into 3 GP domains and 1 exalogic domain. Note that only GP domains can run S10. If a customer wants a T4-4 node to run just an S10 GP Domain then they still need to set up a small S11 control domain as it is not allowed to have a node running just S10.Deploying DB’s in containers in DB Domains is not supported.Lastly, live migration is not supported on SSC T4-4.
- With SPARC SuperCluster as a foundation for the enterprise cloud, one of the big questions, obviously, is how do I take advantage of this? You put together storage, and you put together networking and you put together servers, and that’s different than what I have today. But one of the things that Oracle has worked on here is making it seamlessly integrate into existing data centers. So you have your existing data …. You can connect to your existing storage infrastructure and your existing data. Database 11 is, obviously, accelerated by ASM in the Exadata storage cells. But you can easily and seamlessly connect to your existing SAN and run you existing data. You can start out on a SuperCluster half rack and you can move existing applications. You can run them side-by-side with Database 11. You could ignore Database 11 in a virtualized environment and use them with your existing environment. You can approach at your own pace, upgrading existing applications and using them in a virtualized environment starting out with a relatively small system.Up to 8 SuperClusters can be clustered together to create a very large system with up to 32 T4-4 servers, 48 Exadata storage nodes and 8 ZFS Storage appliances. Note that it is possible to attach Exadata expansion racks to SuperClusters to increase storage capacity without increasing compute capacity. If Exadata expansion racks are used then that reduces the number of SuperCluster racks that can be clustered. The total number of SuperCluster and storage racks that can be combined are 8 but can be a mix.
- Multiple definitions of cloud – pulled from two places:Wikipedia and National Institute of Standards and Technology (NIST) Definition of Cloud Computing: Internet based computing, shared resources, delivered on demand like a public utility. Those shared resources can be networks, servers, storage, applications and services. Over the internent requires less model. Essential Characteristics:On-demand self-service. A consumer can unilaterally provision computing capabilities, such as server time and network storage, as needed automatically without requiring human interaction with each service’s provider. Broad network access. Capabilities are available over the network and accessed through standard mechanisms that promote use by heterogeneous thin or thick client platforms (e.g., mobile phones, laptops, and PDAs). Resource pooling. The provider’s computing resources are pooled to serve multiple consumers using a multi-tenant model, with different physical and virtual resources dynamically assigned and reassigned according to consumer demand. There is a sense of location independence in that the customer generally has no control or knowledge over the exact location of the provided resources but may be able to specify location at a higher level of abstraction (e.g., country, state, or datacenter). Examples of resources include storage, processing, memory, network bandwidth, and virtual machines. Rapid elasticity (dynamic capcity) . Capabilities can be rapidly and elastically provisioned, in some cases automatically, to quickly scale out and rapidly released to quickly scale in. To the consumer, the capabilities available for provisioning often appear to be unlimited and can be purchased in any quantity at any time. Measured Service. Pay what you drink; Cloud systems automatically control and optimize resource use by leveraging a metering capability at some level of abstraction appropriate to the type of service (e.g., storage, processing, bandwidth, and active user accounts). Resource usage can be monitored, controlled, and reported providing transparency for both the provider and consumer of the utilized service. The cloud can be delivered in different service models (SaaS, PaaS, and IaaS). Deployed in private cloud (dedicated, public shared, or hybrid – mix between both).
- In this comparison 2 x E25Ks with 144 processors and 288 cores are being replaced by one SPARC SuperCluster half rack with 64 cores. The software licensed for these systems based on # of cores and multipliers includes Oracle Database Enterprise Edition. The majority of the total cost of ownership over 5 years is due to software licensing and software service. Assumptions:Oracle software licenses are under a contract which allows the licenses to be transferred on a core for core basis.Requirement to purchase Exadata Storage software license with SuperCluster acquisition.A 60% discount is assumed to be applied to the software service. Hardware and hardware service have no discount assumptions applied. 50% of E25K and SuperCluster resources allocated to database, therefore, 50% of total Oracle Database Enterprise Edition licensed on a per core basis.It is recommended that account teams generate customer specific scenarios for legacy SPARC upgrades to SPARC SuperCluster based on customer specific assumptions. Example Value Navigator cases for SuperCluster are available in the library.Value Navigator: http://tools-insight.oraclecorp.com/sbat/faces/Main.jspx?_afrLoop=84219636575602214&_afrWindowMode=0&_adf.ctrl-state=j156n84bn_30SPARC SuperCluster Sizing Guide:http://my.oracle.com/content/groups/public/@empl/@pd/@sss/@servers/@sparc/documents/webcontent/cnt1354301.pdfThis TCO example may be used externally.
- This provides another SPARC consolidation scenario of 10 x M5000s to a SSC half rack. It is recommended that account teams generate customer specific scenarios for legacy SPARC upgrades to SPARC SuperCluster based on customer specific assumptions. Example Value Navigator cases for SuperCluster are available in the library.Assumptions:Oracle software licenses are under a contract which allows the licenses to be transferred on a core for core basis.Requirement to purchase Exadata Storage software license with SuperCluster acquisition.A 60% discount is assumed to be applied to the software service. Hardware and hardware service have no discount assumptions applied. 50% of resources allocated to database, therefore, 50% of total cores Oracle Database Enterprise Edition licensed on a per core basis.50% of resources allocated to applications, therefore, 50% of the total CPUs licensed for WebLogic Suite.Value Navigator: http://tools-insight.oraclecorp.com/sbat/faces/Main.jspx?_afrLoop=84219636575602214&_afrWindowMode=0&_adf.ctrl-state=j156n84bn_30SPARC SuperCluster Sizing Guide:http://my.oracle.com/content/groups/public/@empl/@pd/@sss/@servers/@sparc/documents/webcontent/cnt1354301.pdfThis TCO example may be used externally.
- Substantiation and Assumptions:In order to provide a valid relative performance comparison, IBM TPC-H benchmark result was taken as a baseline, and the following adjustments were made:1) Assumed a 63% perf improvement for the p780 going from TurboCore (4.14GHz) to using all cores at 3.92GHz, per IBM’s rPerf2) SSC performance extrapolated from published TPC-H result 1xT4-4 server3) Used an Oracle DB stack for IBM, instead of Sybase IQ (which was used in their TPC-H benchmark submission)4) Priced AIX EE and PowerVM on IBM configuration, to match features offered at no additional cost with Solaris and Ops CenterIBM benchmark: http://tpc.org/results/FDR/TPCH/TPC-H_1TB_IBM780_Sybase-FDR.pdfIBM 780 Software license price calculation:Software is licensed on all of the cores. Per-cpu list prices:- Oracle EE: $47.5k- Oracle RAC: $23k- Advanced Partitioning: $11.5kTotal: $82k per cpuAt 60% Discount: $32.8k per cpuCore multiplier for Power7: 1.0IBM 780 Software service price calculation:$4.2M * 0.22 * 5 = $4.6MSuperCluster Software license calculation:Software is licensed on all of the cores. Per-cpu list prices:- Oracle EE: $47.5k- Oracle RAC: $23k- Advanced Partitioning: $11.5kTotal: $82k per cpuAt 60% Discount: $32.8k per cpuCore multiplier for T4: 0.5Exadata Storage: $10k per disk ($4K at 60% discount)128 cores x 0.5 multiplier x $32.8 = $2.1M 72 Exadata disks x $4k = $288kSuperCluster Software service calculation:$2.4M * 0.22 * 5 = $2.64MIBM system and service pricing publicly available at the following sites: http://www-01.ibm.com/common/ssi/cgi-bin/ssialias?infotype=an&subtype=ca&htmlfid=897/ENUS111-201&appname=isource&language=enus http://www-01.ibm.com/common/ssi/rep_ca/1/897/ENUS111-201/ENUS-111-201-List_prices_2011_10_12.PDFAssumptions:No transfer of licensing, new deployment.60% discount applied to software.List price applied to hardware.
- Assumptions:Oracle software licenses are under a contract which allows the licenses to be transferred on a core for core basis.Requirement to purchase Exadata Storage software license with SuperCluster acquisition.A 60% discount is assumed to be applied to the software service. Hardware and hardware service have no discount assumptions applied. 100% of resources allocated to database, therefore all cores licensed.
- Multiple definitions of cloud – pulled from two places:Wikipedia and National Institute of Standards and Technology (NIST) Definition of Cloud Computing: Internet based computing, shared resources, delivered on demand like a public utility. Those shared resources can be networks, servers, storage, applications and services. Over the internent requires less model. Essential Characteristics:On-demand self-service. A consumer can unilaterally provision computing capabilities, such as server time and network storage, as needed automatically without requiring human interaction with each service’s provider. Broad network access. Capabilities are available over the network and accessed through standard mechanisms that promote use by heterogeneous thin or thick client platforms (e.g., mobile phones, laptops, and PDAs). Resource pooling. The provider’s computing resources are pooled to serve multiple consumers using a multi-tenant model, with different physical and virtual resources dynamically assigned and reassigned according to consumer demand. There is a sense of location independence in that the customer generally has no control or knowledge over the exact location of the provided resources but may be able to specify location at a higher level of abstraction (e.g., country, state, or datacenter). Examples of resources include storage, processing, memory, network bandwidth, and virtual machines. Rapid elasticity (dynamic capcity) . Capabilities can be rapidly and elastically provisioned, in some cases automatically, to quickly scale out and rapidly released to quickly scale in. To the consumer, the capabilities available for provisioning often appear to be unlimited and can be purchased in any quantity at any time. Measured Service. Pay what you drink; Cloud systems automatically control and optimize resource use by leveraging a metering capability at some level of abstraction appropriate to the type of service (e.g., storage, processing, bandwidth, and active user accounts). Resource usage can be monitored, controlled, and reported providing transparency for both the provider and consumer of the utilized service. The cloud can be delivered in different service models (SaaS, PaaS, and IaaS). Deployed in private cloud (dedicated, public shared, or hybrid – mix between both).