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Optimizing Virtual Machines Using Hybrid Virtualization

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Optimizing Virtual Machines Using Hybrid Virtualization

  1. 1. SAC 2011 -- OS track Optimizing Virtual Machines Using Hybrid Virtualization Qian Lin Shanghai Jiao Tong University
  2. 2. Agenda Background: system virtualization Motivation Design and optimization Evaluation Summary
  3. 3. Background: system virtualization Goal: consolidate and maximize H/W platform resources Way: multiple VMs run concurrently on a single machine
  4. 4. Motivation Current virtualization types Software-only full virtualization  Dynamic binary translation technique  For cross-platform development and debug only H/W assisted full virtualization  Leverage H/W virtualization extension of CPU architecture  Superior in CPU and memory virtualization, but not in I/O Paravirtualization  Ring compression → compromised strategy  Exist much overhead in the execution of system call  Efficient in I/O event handling
  5. 5. Motivation (cont.) Reduce overhead incurred by virtualization Optimize to reduce the execution redundancy Hybrid approach to merge advantages 64-bit HVM is at par or faster than 64-bit PVM Paravirtualization is helpful for enhancing HVM  Simplicity, performance, efficiency, scalability, correctness
  6. 6. Design Type I: Hybrid PVM Type II: Hybrid HVM Port paravirtualized OS Local optimize HVM Common design goal: into HVM container using PV strategy Run paravirtualized OS in the HVM container. Add HAP support Import PV components
  7. 7. VM optimization (1) Abridge the system call path PVM: Kernel/User space share the same ring Hybrid VM: Rings are assigned normally
  8. 8. VM optimization (2) Shadow page table → complex and dull
  9. 9. VM optimization (2) H/W assisted paging → accelerated!
  10. 10. VM optimization (3) Local APIC is not used by Hybrid VM Linux EOI (End of Interrupt) does not cause VM exit. Use Xen API (event channel) MSI/MSI-X handling is paravirtualized in Hybrid VM MSI Mask/Unmask does not cause VM exit No changes are made to device drivers I/O intensive loads expose those virtualization overheads About 12K interrupts/per sec. (per VCPU) with 10 GbE CPU utilization is >3% higher per VCPU on ordinary HVM Linux As number of VCPUs increases, overhead increases
  11. 11. Micro performance (1) LMBench - Processor Overhead contributed by fundamental operations Factor: system call
  12. 12. Micro performance (2) LMBench - Context switch Inter processes, kernel/user mode, interrupt Factor: address translation, TLB flush
  13. 13. Micro performance (3) LMBench - Local communication latency Response time of I/O request Factor: address translation
  14. 14. Macro performance: CPU intensive Kernel compile benchmark Factor: system call, context switch, address translation
  15. 15. Macro performance: I/O intensive CPU utilization within Ethernet workload Factor: interrupt handling
  16. 16. Summary Minimize virtualization overheads and utilize new/advanced H/W features in VMs as much as possible for cloud computing Take both superiority of H/W assisted virtualization and paravirtualization Open source implementation of prototype Also release to the Xen community
  17. 17. Thank you! Trusted Computing Group @ SJTU http://202.120.40.124/index.php/Project_TC

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