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| Content Provider | ACM Digital Library |
|---|---|
| Author | Bortnikov, Vita Perelman, Dmitri Shnayderman, Ilya Roytman, Alexey Shachor, Shlomit Chockler, Gregory |
| Abstract | Reconfigurable state machine replication is an important enabler of elasticity for replicated cloud services, which must be able to dynamically adjust their size as a function of changing load and resource availability. We introduce a new generic framework to allow the reconfigurable state machine implementation to be derived from a collection of arbitrary non-reconfigurable state machines. Our reduction framework follows the black box approach, and does not make any assumptions with respect to its execution environment apart from reliable channels. It allows higher-level services to leverage speculative command execution to ensure uninterrupted progress during the reconfiguration periods as well as in situations where failures prevent the reconfiguration agreement from being reached in a timely fashion. We apply our framework to obtain a reconfigurable speculative state machine from the non-reconfigurable Paxos implementation, and analyze its performance on a realistic distributed testbed. Our results show that our framework incurs negligible overheads in the absence of reconfiguration, and allows steady throughput to be maintained throughout the reconfiguration periods. |
| Starting Page | 93 |
| Ending Page | 94 |
| Page Count | 2 |
| File Format | |
| ISBN | 9781450314503 |
| DOI | 10.1145/2332432.2332449 |
| Language | English |
| Publisher | Association for Computing Machinery (ACM) |
| Publisher Date | 2012-07-16 |
| Publisher Place | New York |
| Access Restriction | Subscribed |
| Subject Keyword | Fault tolerance State machine Replication |
| Content Type | Text |
| Resource Type | Article |
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