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xen-devel
[Xen-devel] Re: Is continuous replication of state possible?
Ian Pratt wrote:
> Software-implemented hardware fault-tolerance is on the Xen
> research roadmap.
>
> It basically just requires deterministic execution and event
> injection. Doing this for uniprocessor guests is fairly straight
> forward. Doing it for SMP guests (with decent performance) is
> going to be a huge challenge, as determinism is hard to achieve. We're
> looking in to it...
I thought a little about trying to implement a byzantine fault tolerant
SMP virtual machine using state replication. I read Barbara Liskov's
group's work for some BFT distributed consensus protocols and there is
some good work out there on BFT routing in ad-hoc networks and a little
bit on BFT authentication but I didn't find much on the SMP issues.
I wanted to try out two approaches:
1) Putting each CPU into a separate BFT context and suffering the
consensus protocol overhead in inter-cpu communications.
I thought this would probably work OK for replicated servers which were
relatively near each other (for example on IBM's proposed CIB hardware)
but I was also interested in global replication for continuity through
disasters so I was considering
2) Assuming a standard execution rate for instructions and speculatively
executing them non-deterministically in parallel. Non-determinism is
only significant when communication between CPUs happens in the wrong
order (for example when an instruction speculatively assigned to a
particular time-step on one cpu writes to a cache line which has already
been read from by an instruction speculatively assigned to a later
time-step by another cpu) this must be detected at which point the local
replica has to roll-back and then roll forwards more carefully to get
the serialisation right. I think this would work better when the
replicas are separated geographically because there is no BFT protocol
overhead for inter-cpu communication.
In both cases, I was going to emulate CPUs rather than try to use the
real CPU or any hardware features. With emulation, I wanted to try out
using a high emulated:real CPU ratio and/or deep pipelines to ameliorate
the inherent stall problem of the first approach. Emulation seems to be
a requirement for investigating the second approach.
I think there's also a possibility of using dynamic translation to make
either of these approaches go faster. With dynamic translation, either
approach might get to within a small factor of the theoretical limit for
BFT.
Not good for scientific performance computing but the BFT, global
replication, massive parallelism and single system image features would
be great for a lot of business applications.
I'm very curious, do you have another approach? Any thoughts about
real-time?
Harry.
--
Harry Butterworth <harry@xxxxxxxxxxxxxxxxxxxxxxxxxxxxx>
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