S t a n f o r d U n i v e r s i t y Hypervisor based DataCenter wide Network Provisioning Vimalkumar Jeyakumar, Mohammad Alizadeh, Balaji Prabhakar, David Mazières (Stanford University) Changhoon Kim, Albert Greenberg (Windows Azure) Today’s multi-tenant cloud Unpredictable performance: “Noisy neighbour” Netflix: AWS networking has more variable latency… Re-architect applications Can provision CPU, memory, disk: familiar units Network?? Growing bandwidth, stringent latency reqts. Provisioning Network for Cloud Apps in Gbps Simple model: per-VM VNIC capacity Absolute units: Mbps Minimum guarantee: high utilisation VMs connected to single switch Full bisection bandwidth Predictable performance Big Switch (DC Network) EyeQ: Hypervisor Shim Internet ~100Gbps ~1Pbps VMs !" $" !"$%&'() !" !" *+ ,-'%./0 !"$%&'() 123456- 73'- 8&9&'-/ 7: (.94.;-;' 2-'-('< =: (.94.;-;' /-3('< +.;>-<5.; *-'-('./ =: 43(0-'< 7: 43(0-'< ?;'/?<'-2 ?;'/?<'-2 %&'()*(+&' ,*- .*&)/*0 1234-5).67234-5).68 !" @AA"B4< CAA"B4< Address contention and sharing At end hosts At Internet uplink Trends: high bandwidth interconnects EyeQ: Eye for Quality o Enforce at TX: adaptive rate limiters o Detect at RX: congestion signaller Distributed mechanism o End to end control loop o Fine timescales reactions: few 100µs Sample Packets diverted to end host !"#$#% '() *+,%-$. /0+%12 *34 *35 *3# *36 ! !"#$#% 7() *+,%-$. /0+%12 *34 *35 *3+ *36 ! !"#$%&'( * #+',-.'# $/' $/-,01'## %2 '3,/ +-+' 1.6GHz 4GB 1TB “High”?! This work is supported by NSF award CNS-1040190 (FIA: NEBULA)
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S t a n f o r d U n i v e r s i t y
Hypervisor based DataCenter wide Network Provisioning Vimalkumar Jeyakumar, Mohammad Alizadeh, Balaji Prabhakar, David Mazières (Stanford University)
Changhoon Kim, Albert Greenberg (Windows Azure)
Today’s multi-tenant cloud
§ Unpredictable performance: “Noisy neighbour” § Netflix: AWS networking has more variable latency… Ø Re-architect applications
§ Can provision CPU, memory, disk: familiar units § Network?? Ø Growing bandwidth, stringent latency reqts.
Provisioning Network for Cloud Apps in Gbps § Simple model: per-VM VNIC capacity ü Absolute units: Mbps ü Minimum guarantee: high utilisation ü VMs connected to single switch ü Full bisection bandwidth ü Predictable performance
TOR
Agg
Core
Big Switch (DC Network)
EyeQ: Hypervisor Shim
Internet
~100Gbps
~1Pbps
VMs
!"#!"#
!"#$"#
!"$%&'()#
!"# !"#
*+#,-'%./0#
!"$%&'()#123456-#73'-#
8&9&'-/#
7:#(.94.;-;'#2-'-('<#
=:#(.94.;-;'#/-3('<#
+.;>-<5.;#*-'-('./#
=:#43(0-'<# 7:#43(0-'<#
?;'/?<'-2# ?;'/?<'-2#
%&'()*(+&'#,*-#.*&)/*0#
1234-5).67234-5).68##
!"#
@AA"B4<#CAA"B4<#
§ Address contention and sharing ü At end hosts ü At Internet uplink
§ Trends: high bandwidth interconnects
§ EyeQ: Eye for Quality o Enforce at TX: adaptive rate limiters o Detect at RX: congestion signaller
§ Distributed mechanism o End to end control loop o Fine timescales reactions: few 100µs
Sample Packets diverted to end host
!"#$#%&'()&*+,%-$.&/0+%12&
*34& *35& *3#&*36& !"
!"#$#%&7()&*+,%-$.&/0+%12&
*34& *35& *3+&*36& !"
!"#$%&'()*)#+',-.'#)$/')$/-,01'##)%2)'3,/)+-+')
1.6GHz 4GB 1TB “High”?!
This work is supported by NSF award CNS-1040190 (FIA: NEBULA)
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