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VM Interference and Placement for Server Consolidation

VM Interference and Placement for Server Consolidation. Umesh Bellur IIT Bombay. Current Deployment. App Lifecycle in a VM Env. Some Problems. Translating application QoS into VM configurations Quantifying the effects of interference and affinity Placement strategies.

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VM Interference and Placement for Server Consolidation

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  1. VM Interference and Placement for Server Consolidation Umesh Bellur IIT Bombay

  2. Current Deployment App Lifecycle in a VM Env.

  3. Some Problems • Translating application QoS into VM configurations • Quantifying the effects of interference and affinity • Placement strategies

  4. Generating VM Configs • Input: • Application performance characterization leading to: • Building and solving predictive performance models for the application • QoS operating ranges and estimated load patterns • Output: • A set of VM configurations along with a mapping of application components to VMs.

  5. Challenges: • Automating characterizing appl perf. For virtualized env. • Extending standard performance prediction techniques (Queuing) to include the effects of virtualization

  6. Interference/Affinity • VMs don’t provide performance isolation • VMM takes up some percentage of resources. • Given an application component’s performance on a single VM, can we estimate the effect the colocating other VMs running different types of workloads (CPU intensive, I/O intensive etc.). Further, can we characterize this effect with changing parameters of the interfering component?

  7. Results of interference

  8. Results - 2 • Ping latency of a VM doubled when when it was deployed with a mixture of CPU-intensive and I/O bandwidth intensive VMs, as compared to when it was deployed with only I/O bandwidth intensive VMs.

  9. VM Placement • Given a current deployment and the set of VMs that need to be deployed in a data center, output a plan of placing the VMs on the existing physical machines to optimize number of physical servers used and other application specified constraints (for fault tolerance etc.) • Migration costs • A multi dimensional bin packing problem subject to various constraints: • Interference conflicts • App driven conflicts

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