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Performance Challenges
In
Software Networking
Stephen Hemminger
@networkplumber
Who am I?
● Principal Architect
Brocade vRouter
(Vyatta)
● Fellow
Linux Foundation
● Sequent
Unix SMP networking
● DPDK
– #3 contributor
● Linux
– 10+ year contributor
– Maintainer
● Bridge
● iproute
Agenda
● Myths
● Requirements
● Benchmarks
● Reality
Myths
● Software networking can never do:
– 1Gbit
● 2008 – Linux, FreeBSD, ...
– 10Gbit
● 2013 – DPDK, Netmap, ...
– 40Gbit
● 2015 – DPDK, ...
– 100Gbit
● 2016?
Hardware vs Software
● Clock rate
● TCAM size
● TCAM miss
● Bus transactions
● Clock rate
● Cache size
● Cache misses per packet
● PCI bus operations
Optimization cycle
AnalyzeOptimize
Measure
SDN Measurement
Forwarding
RFC2544
Scaling
Imix, BGP, Firewall, ...
Application
BGP convergence
Availablity
SDN Workload
Performance
Test Environment
Benchmark vs Reality
● Benchmark
– random flows
– 10 or less rules
– 128GB memory
– 32 or more CPU
● Reality
– Burstyflows
– 1000's of rules
– 2GB VM
– 2-4 CPU
System effects
● Data/Control resource sharing
– CPU cache
– Background noise
● Power consumption
● Memory footprint
● Virtualization overhead
● Platform differences
Basics
memory is ~70+ ns away (i.e. 2.0 GHz = 140+ cycles)
Source: Intel® 64 and IA-32 Architectures: Optimization Reference Manual
Sandy Bridge
Ivy Bridge
Haswell Skylake
(bytes/cycle) 4 4 4
L1 Peak Bandwidth 2x16 2x32 load
1x32 store
2x32 load
1x32 store
L2 data access (cycles) 12 11 12
L2 peak Bandwidth 1x32 64 64
Shared L3 access (cycles) 26-31 34 44
L3 peak bandwidth 32 - 32
Data hit in L2 cache 43 – clean hit
60 – modified
Time Budget
● 10Gbit 64 byte packet
– 67.2ns = 201 cycles @ 3Ghz
● Cache
– L3 = 8 ns
– L2 = 4.3
● Atomic operations
– Lock = 8.25 ns
– Lock/Unlock = 16.1
Network stack challenges at increasing speeds – LCA 2015
Jesper Dangaard Brouer
Magic Exlir?
Fast vs Slow
● New software
– Lockless
– Single function
– Tight layering
– Cache aware
● Legacy software
– Interrupts
– Shared resources
– System calls
– VM exit
Performance Tradeoffs
● Bulk operations
● Lock-less Algorithms
● Tight integration
● Polling
● Caching
➔ Latency
➔ Update speed
Consistency
➔ Inflexible
➔ CPU utilization
Power management
➔ Memory utilization
Update overhead
CPU pipeline
Cache flow
Rx
Device
Network
Function
Tx
Device
Rx
Poll
Tx
Kick
Tx
Descriptor
Rx
Descriptor
Function Table
Accesses
Worst case 7+ cache miss per packet!
Packet
Data
Cache Ping/Pong
● Cache line shared between
cores
– Statistics
– Session state
NFV bucket brigade
Packet batching
New developments
● DPDK
– Multi-architecture
– NIC support
– Packet pipeline
– ACL
– LPM
– ...
● Linux
– Batched Tx
– Lockless queue
disciplines
– Memory allocator
performance
Conclusions
● Software networking is
function of:
– Algorithims
– Low level CPU utilization
– Cache behavior
Questions?
Thank you
Stephen Hemminger
stephen@networkplumber.org
@networkplumber
Next Generation Software Networking
● Openvswitch + DPDK
● Brocade – vRouter
● 6Wind
● FD.io – VPP
● Juniper - Opencontrail
● Huawei - Fusionsphere
Performance Challenges
In
Software Networking
Stephen Hemminger
@networkplumber
Who am I?
● Principal Architect
Brocade vRouter
(Vyatta)
● Fellow
Linux Foundation
● Sequent
Unix SMP networking
● DPDK
– #3 contributor
● Linux
– 10+ year contributor
– Maintainer
●
Bridge
●
iproute
Agenda
● Myths
● Requirements
● Benchmarks
● Reality
Myths
● Software networking can never do:
– 1Gbit
● 2008 – Linux, FreeBSD, ...
– 10Gbit
● 2013 – DPDK, Netmap, ...
– 40Gbit
● 2015 – DPDK, ...
– 100Gbit
● 2016?
Hardware vs Software
● Clock rate
● TCAM size
● TCAM miss
● Bus transactions
● Clock rate
● Cache size
● Cache misses per packet
● PCI bus operations
Optimization cycle
AnalyzeOptimize
Measure
SDN Measurement
Forwarding
RFC2544
Scaling
Imix, BGP, Firewall, ...
Application
BGP convergence
Availablity
SDN Workload
Performance
Test Environment
Benchmark vs Reality
● Benchmark
– random flows
– 10 or less rules
– 128GB memory
– 32 or more CPU
● Reality
– Burstyflows
– 1000's of rules
– 2GB VM
– 2-4 CPU
System effects
● Data/Control resource sharing
– CPU cache
– Background noise
● Power consumption
● Memory footprint
● Virtualization overhead
● Platform differences
Basics
memory is ~70+ ns away (i.e. 2.0 GHz = 140+ cycles)
Source: Intel® 64 and IA-32 Architectures: Optimization Reference Manual
Sandy Bridge
Ivy Bridge
Haswell Skylake
(bytes/cycle) 4 4 4
L1 Peak Bandwidth 2x16 2x32 load
1x32 store
2x32 load
1x32 store
L2 data access (cycles) 12 11 12
L2 peak Bandwidth 1x32 64 64
Shared L3 access (cycles) 26-31 34 44
L3 peak bandwidth 32 - 32
Data hit in L2 cache 43 – clean hit
60 – modified
Time Budget
● 10Gbit 64 byte packet
– 67.2ns = 201 cycles @ 3Ghz
● Cache
– L3 = 8 ns
– L2 = 4.3
● Atomic operations
– Lock = 8.25 ns
– Lock/Unlock = 16.1
Network stack challenges at increasing speeds – LCA 2015
Jesper Dangaard Brouer
Magic Exlir?
Fast vs Slow
● New software
– Lockless
– Single function
– Tight layering
– Cache aware
● Legacy software
– Interrupts
– Shared resources
– System calls
– VM exit
Performance Tradeoffs
● Bulk operations
● Lock-less Algorithms
● Tight integration
● Polling
● Caching
➔ Latency
➔ Update speed
Consistency
➔ Inflexible
➔ CPU utilization
Power management
➔ Memory utilization
Update overhead
CPU pipeline
Cache flow
Rx
Device
Network
Function
Tx
Device
Rx
Poll
Tx
Kick
Tx
Descriptor
Rx
Descriptor
Function Table
Accesses
Worst case 7+ cache miss per packet!
Packet
Data
Cache Ping/Pong
● Cache line shared between
cores
– Statistics
– Session state
NFV bucket brigade
Packet batching
New developments
● DPDK
– Multi-architecture
– NIC support
– Packet pipeline
– ACL
– LPM
– ...
● Linux
– Batched Tx
– Lockless queue
disciplines
– Memory allocator
performance
Conclusions
● Software networking is
function of:
– Algorithims
– Low level CPU utilization
– Cache behavior
Questions?
Thank you
Stephen Hemminger
stephen@networkplumber.org
@networkplumber
Next Generation Software Networking
● Openvswitch + DPDK
● Brocade – vRouter
● 6Wind
● FD.io – VPP
● Juniper - Opencontrail
● Huawei - Fusionsphere

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