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Towards Virtual Networks for Virtual Machine Grid Computing Ananth I. Sundararaj Peter A. Dinda Prescience Lab Department of Computer Science Northwestern.

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Presentation on theme: "Towards Virtual Networks for Virtual Machine Grid Computing Ananth I. Sundararaj Peter A. Dinda Prescience Lab Department of Computer Science Northwestern."— Presentation transcript:

1 Towards Virtual Networks for Virtual Machine Grid Computing Ananth I. Sundararaj Peter A. Dinda Prescience Lab Department of Computer Science Northwestern University http://virtuoso.cs.northwestern.edu

2 2 Outline Virtual machine grid computing Virtuoso system Networking challenges in Virtuoso Enter VNET VNET Adaptive virtual network Related Work Conclusions Current Status

3 3 Aim Grid Computing New Paradigm Traditional Paradigm Deliver arbitrary amounts of computational power to perform distributed and parallel computations Problem1: Grid Computing using virtual machines Problem2: Solution How to leverage them? Virtual Machines What are they? 6b 6a 5 4 3b 3a 2 1 Resource multiplexing using OS level mechanism Complexity from resource user’s perspective Complexity from resource owner’s perspective

4 4 Virtual Machines Virtual machine monitors (VMMs) Raw machine is the abstraction VM represented by a single image VMware GSX Server

5 5 Virtual machine grid computing Approach: Lower level of abstraction –Raw machines, not processes, jobs, RPC calls R. Figueiredo, P. Dinda, J. Fortes, A Case For Grid Computing on Virtual Machines, ICDCS 2003 Mechanism: Virtual machine monitors Our Focus: Middleware support to hide complexity –Ordering, instantiation, migration of machines –Virtual networking –remote devices –Connectivity to remote files, machines –Information services –Monitoring and prediction –Resource control

6 6 The Simplified Virtuoso Model Orders a raw machine User Specific hardware and performance Basic software installation available User’s LAN VM Virtual networking ties the machine back to user’s home network Virtuoso continuously monitors and adapts

7 7 User’s View in Virtuoso Model User User’s LAN VM

8 8 Outline Virtual machine grid computing Virtuoso system Networking challenges in Virtuoso Enter VNET VNET Adaptive virtual network Related Work Conclusions Current Status

9 9 User’s friendly LAN Foreign hostile LAN Virtual Machine Why VNET? A Scenario IP network User has just bought

10 10 User’s friendly LAN Foreign hostile LAN Virtual Machine VNET: A bridge with long wires Host Proxy X Why VNET? A Scenario VM traffic going out on foreign LAN IP network A machine is suddenly plugged into a foreign network. What happens? Does it get an IP address? Is it a routeable address? Does firewall let its traffic through? To any port?

11 11 Outline Virtual machine grid computing Virtuoso system Networking challenges in Virtuoso Enter VNET VNET Adaptive virtual network Related Work Conclusions Current Status

12 12 A Layer 2 Virtual Network for the User’s Virtual Machines Why Layer 2? –Protocol agnostic –Mobility –Simple to understand –Ubiquity of Ethernet on end-systems What about scaling? –Number of VMs limited (~1024 per user) –One VNET per user –Hierarchical routing possible because MAC addresses can be assigned hierarchically

13 13 Host VM Proxy VNET Client vmnet0 ethx ethz“eth0” VNET ethy “eth0” Client LAN IP Network Ethernet Packet Tunneled over TCP/SSL Connection Ethernet Packet Captured by Promiscuous Packet Filter Ethernet Packet Injected Directly into VM interface “Host Only” Network VNET operation Traffic outbound from the user’s LAN

14 14 Performance Evaluation Main goal Convey the network management problem induced by VMs to the home network of the user VNET’s performance should be In line with physical network Comparable to other options Sufficient for scenarios However Metrics LatencyBandwidth small transfer Interactivity Large transfer low throughput Why?How? Why? ping hour long intervals ttcp socket buffer 1 GB of data

15 15 VNET test configuration Proxy 100 mbit Switches Client 100 mbit Switch Firewall 1 Router Host 100 mbit Switches 100 mbit Switch Firewall 2 VM Local Local area configuration Proxy 100 mbit Switches Client 100 mbit Switch Firewall 1 Router Host 100 mbit Switch Router VM Local IP Network (14 hops via Abilene ) Wide area configuration Northwestern University, ILCarnegie Mellon University, PA

16 16 Average latency over WAN Proxy Client Host VM IP Network Northwestern University, ILCarnegie Mellon University, PA (Physical Network) Host - VM Client - Proxy Proxy - Host

17 17 Standard deviation of latency over WAN What:VNET increases variability in latency TCP connection between VNET servers trades packet loss for increased delay Why: (Physical Network)

18 18 Bandwidth over WAN What do we see: VNET achieves lower than expected throughput VNET’s is tricking TTCP’s TCP connection Why: Expectation: VNET to achieve throughput comparable to the physical network

19 19 Outline Virtual machine grid computing Virtuoso system Networking challenges in Virtuoso Enter VNET VNET Adaptive virtual network Related Work Conclusions Current Status

20 20 User’s friendly LAN Foreign hostile LAN 1 Host 2 + VNET Proxy + VNET VNET Overlay IP network Host 3 + VNET Host 4 + VNET Host 1 + VNET Foreign hostile LAN 3 Foreign hostile LAN 4 Foreign hostile LAN 2 VM 1 VM 4 VM 3 VM 2

21 21 Bootstrapping the Virtual Network Topology may change Links can be added or removed on demand Virtual machines can migrate VM Vnetd VM Host + VNETd Proxy + VNETd VM Star topology always possible Forwarding rules can change Forwarding rules can be added or removed on demand

22 22 VM Layer VNETd Layer Physical Layer Application communication topology and traffic load; application processor load Network bandwidth and latency; sometimes topology Vnetd layer can collect all this information as a side effect of packet transfers and invisibly act Reservation Routing change VM migrates Topology changes

23 23 Outline Virtual machine grid computing Virtuoso system Networking challenges in Virtuoso Enter VNET VNET Adaptive virtual network Related Work Conclusions Current Status

24 24 Related Work Collective / Capsule Computing (Stanford) –VMM, Migration/caching, Hierarchical image files Denali (U. Washington) –Highly scalable VMMs (1000s of VMMs per node) SODA and VIOLIN (Purdue) –Virtual Server, fast deployment of services VPN Virtual LANs, IEEE Overlay Networks: RON, Spawning networks, Overcast Ensim Virtuozzo (SWSoft) –Ensim competitor Available VMMs: IBM’s VM, VMWare, Virtual PC/Server, Plex/86, SIMICS, Hypervisor, VM/386

25 25 Conclusions There exists a strong case for grid computing using virtual machines Challenging network management problem induced by VMs in the grid environment Described and evaluated a tool, VNET, that solves this problem Discussed the opportunities, the combination of VNET and VMs present, to exploit an adaptive overlay network

26 26 Current Status Application traffic load measurement and topology inference [Ashish Gupta] Support for arbitrary topologies and forwarding rules Dynamic adaptation to improve performance

27 27 Current Status Snapshots Pseudo proxy

28 28 For More Information –Prescience Lab (Northwestern University) http://plab.cs.northwestern.edu –Virtuoso: Resource Management and Prediction for Distributed Computing using Virtual Machines http://virtuoso.cs.northwestern.edu VNET is publicly available from http://virtuoso.cs.northwestern.edu

29 29 Isn’t It Going to Be Too Slow? ApplicationResourceExecTime (10^3 s) Overhead SpecHPC Seismic (serial, medium) Physical16.4N/A VM, local16.6 1.2% VM, Grid virtual FS 16.8 2.0% SpecHPC Climate (serial, medium) Physical9.31N/A VM, local9.68 4.0% VM, Grid virtual FS 9.70 4.2% Experimental setup: physical: dual Pentium III 933MHz, 512MB memory, RedHat 7.1, 30GB disk; virtual: Vmware Workstation 3.0a, 128MB memory, 2GB virtual disk, RedHat 2.0 NFS-based grid virtual file system between UFL (client) and NWU (server) Small relative virtualization overhead; compute-intensive Relative overheads < 5%

30 30 Isn’t It Going To Be Too Slow? Synthetic benchmark: exponentially arrivals of compute bound tasks, background load provided by playback of traces from PSC Relative overheads < 10%

31 31 Isn’t It Going To Be Too Slow? Virtualized NICs have very similar bandwidth, slightly higher latencies –J. Sugerman, G. Venkitachalam, B-H Lim, “Virtualizing I/O Devices on VMware Workstation’s Hosted Virtual Machine Monitor”, USENIX 2001 Disk-intensive workloads (kernel build, web service): 30% slowdown –S. King, G. Dunlap, P. Chen, “OS support for Virtual Machines”, USENIX 2003 However: May not scale with faster NIC or disk

32 32 Average latency over WAN Comparison with options VNET = 37.535 ms = 35.525 ms (with SSL) VMware = 35.625 (NAT) = 37.435 ms (bridged) Inline with Physical? Physical= C-P + P-H + H-VM = 0.34 + 36.993 + 0.189 = 37.522 ms VNET = 37.535 ms = 35.525 ms (with SSL) Client -- C Proxy -- P Host -- H Physical networkVMware options VNET options H-VM P-H C-P

33 33 Standard deviation of latency over WAN Inline with Physical? Physical= C-P + P-H + H-VM = 1.11 + 18.702 + 0.095 = 19.907 ms VNET = 77.287 ms = 40.763 ms (with SSL) Client -- C Proxy -- P Host -- H H-VM C-P What:VNET increases variability in latency TCP connection between VNET servers trades packet loss for increased delay Why:

34 34 Bandwidth over WAN Inline with Physical? Physical= 1.93 MB/s VNET = 1.22 MB/s = 0.94 MB/s (with SSL) What:VNET achieves lower than expected throughput VNET’s is tricking TTCP’s TCP connection Why: Expect:VNET to achieve throughput comparable to the physical network VMWare bridged networking Physical network


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