Visigoth Fault Tolerance Daniel § Porto , Joao § Leitao , † Li , † Clement , ‡ Kate , Cheng Allen Aniket Flavio § ‡ ∏ † NOVA Univ. of Lisbon , MMCI ,MSR Cambridge , MPI-SWS 1. Non-crash outages matter 3. Visigoth: optimize for likely faults •Bit-flip causes an outage (Amazon S3) Synchronous BFT (f=2) Q1 Assume the worst: collusion Asynchronous CFT (f=2) Q2 Slow Assume the worst: indefinite delay Independent wrong replies Q1 •Two machines in a cluster compute wrong XOR results (Google) Rodrigo § Rodrigues 5. Adapting protocols to VFT Slow •Message corruption is often undetected by TCP CRC (Microsoft) ∏ Junqueira , crash Slow Adjusting to the environment (u=2) Q2 e.g. u=2 Slow Arbitrary faults lead to different outputs Safe to assume crashes after T VFT (u=2,o=2,s=0) •VFT basic primitives are provided •Configure T and s values •Adjust Q size after T •Consensus lower bound: •n = u + min(u,s) + o + 1 (vs. BFT 3f+1) VFT (u=2,o=0,s=1) Sync (s=0) Async (s=1) Async (s=2) Crash (o=0) Up to 2 arbitrary but independent arbitrary o=2 o=2,n=5 o=1,n=5 o=0,n=5 Fills spectrum between existing models u 2. Classical models = extremes faulty process (crash + arbitrary) Too optimistic o s independent faults with identical behavior slow (take ≥ T to reply) Cost effectiveness (BFT x VFT) Too pessimistic Doesn’t capture arbitrary faults Byzantine Assumes worst case behavior Synchronous Asynchronous Predictable message delay Unbounded message delay Log(100 - %comm steps) Crash •Independent faults: security stops coordinated attacks •Latency is bounded: data center (DC) networks are well provisioned •Measurement study of RPC times on a private DC*: 99.9%, T =1seg. suffices for receiving 6 out of 7 replies 6th reply received *We found similar results in Amazon EC2 4. What faults are likely? Initial results show that VFT achieve comparable throughput at a lower cost 6. Questions and final remarks •Does the model approximate DC faults? •Is s bounded during partitions? •VFT withstands faults other than crash •Fewer resources than BFT/asynch
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