[Virtualization] Virtualizing CPU (x86)

x86 Difficulties

  • Not all sensitive instructions are privileged with x86, i.e., non-virtualizable processor
  • These instructions do not trap and behave differently in kernel and user mode

Possible Solutions

  • Emulate: interpret each instruction, super slow (e.g., Virtual PC on Mac)
  • Binary translation: rewrite non-virtualizable instructions (e.g., VMware)
  • Para-virtualization: modify guest OS to avoid non-virtualizable instructions (e.g., Xen)
  • Change hardware: add new CPU mode, extend page table, and other hardware assistance (e.g., Intel VT-x, EPT, VT-d, AMD-V)

Full Emulation / Hosted Interpretation

  • VMM implements the complete hardware architecture in software
  • VMM steps through VM’s instructions and update emulated hardware as needed
  • Can handle all types of instructions, but super slow

Trap-and-Emulate

Basic Idea of Binary Translation

  • Based on input guest binary, compile (translate) instructions in a cache and run them directly
  • Challenges:
    – Protection of the cache
    – Correctness of direct memory addressing
    – Handling relative memory addressing (e.g., jumps)
    – Handling sensitive instructions

VMware’s Dynamic Binary Translation

  • Binary: input is binary x86 code
  • Dynamic: translation happens at runtime
  • On demand: code is translated only when it is about to execute
  • System level: rules set by x86 ISA, not higher-level ABIs
  • Subsetting: output a safe subset of input full x86 instruction set
  • Adaptive: translated code is adjusted according to guest behavior changes

Translation Unit

  • TU: 12 instructions or a “terminating” instruction (a basic code block)
  • Why TU as the unit not individual instruction? (overhead)
  • TU -> Compiled Code Fragment (CCF)
  • CCF stored in translation cache (TC)
  • At the end of each CCF, call into translator (implemented by the VMM) to decide and translate the next TU (more optimization soon)
    – If the destination code is already in TC, then directly jumps to it
    – Otherwise, compiles the next CCF into TC

Architecture of VMware’s Binary Translation

IDENT/Non-IDENT Translation

  • Most instructions can be translated IDENT (do nothing to the instructions), except for
  • PC-relative address
  • Direct control flow
  • Indirect control flow
  • Sensitive instructions
    – If already traps, then can be handled when it traps (more optimization soon to be discussed)
    – Otherwise, replace it with a call to the emulation function

Adaptive Binary Translation

  • Binary translation can outperform classical virtualization by avoiding traps
    – rdtsc on Pentium 4: trap-and-emulate 2030 cycles, callout-and-emulate 1254 cycles, in-TC emulation 216 cycles
  • What about sensitive instructions that are not priviledged?
    – “Innocent until proven guilty”
    – Start in the innocent state and detect instructions that trap frequently
    . Retranslate non-IDENT to avoid the trap
    . Patch the original IDENT translation with a forwarding jump to the new translation

Hardware-Assisted CPU Virtualization (Intel VT-x)

  • Two new modes of execution (orthogonal to protection rings)
    – VMX root mode: same as x86 without VT-x
    – VMX non-root mode: runs VM, sensitive instructions cause transition to root mode, even in Ring 0
  • New hardware structure: VMCS (virtual machine control structure)
    – One VMCS for one virtual processor
    – Configured by VMM to determine which sensitive instructions cause VM exit
    – Specifies guest OS state

Example: Guest syscall with Hardware Virtualization

  • VMM fills VMCS exception table for guest OS and sets bit in VMCS to not exit on syscall exception, VMM executes VM entry
  • Guest application invokes a syscall, does not trap, but go to the VMCS exception table

Conclusion

  • Virtualizing CPU is a non-trivial task, esp. for non-virtualizable architectures like x86
  • Software binary translation is a neat (but very tricky) way to virtualize x86 and still meet Popek and Goldberg’s virtualization principles
  • Hardware vendors keep adding more virtualization support, which makes life a lot easier
  • Software and hardware techniques both have pros and cons

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