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Evaluating the Viability of Process Replication Reliability for Exascale Systems
EVENT TYPE: Paper
TIME: 1:30PM - 2:00PM
AUTHOR(S):Kurt, B. Ferreira, Rolf Riesen, Patrick Bridges, Dorian Arnold, Jon Stearley, James H. Laros, Ron A. Oldfield, Kevin Pedretti, Ron Brightwell
ABSTRACT: As high-end computing machines continue to grow in size, issues such as fault tolerance and reliability limit application scalability. Current techniques to ensure progress across faults, like checkpoint-restart, are increasingly problematic at these scales due to excessive overheads predicted to more than double an applications time to solution. Replicated computing techniques, particularly state machine replication, long used in distributed and mission critical systems, has been suggested as an alternative to checkpoint-restart. In this paper, we evaluate the viability of
using state machine replication as the primary fault tolerance mechanism for upcoming exascale systems. We use a combination of modeling, empirical analysis, and simulation to study the costs and benefits of this approach in comparison to checkpoint/restart on a wide range of system parameters. These results, which cover different failure distributions, hardware mean time to failures, and I/O bandwidths, show that state machine replication is a potentially useful technique for meeting the fault tolerance demands of HPC applications on future exascale platforms.