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Content Provider | ACM Digital Library |
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Author | Walfish, Michael Leners, Joshua B. Hung, Wei-Lun Aguilera, Marcos K. Wu, Hao |
Abstract | A common way for a distributed system to tolerate crashes is to explicitly detect them and then recover from them. Interestingly, detection can take much longer than recovery, as a result of many advances in recovery techniques, making failure detection the dominant factor in these systems' unavailability when a crash occurs. This paper presents the design, implementation, and evaluation of Falcon, a failure detector with several features. First, Falcon's common-case detection time is sub-second, which keeps unavailability low. Second, Falcon is reliable: it never reports a process as down when it is actually up. Third, Falcon sometimes kills to achieve reliable detection but aims to kill the smallest needed component. Falcon achieves these features by coordinating a network of spies, each monitoring a layer of the system. Falcon's main cost is a small amount of platform-specific logic. Falcon is thus the first failure detector that is fast, reliable, and viable. As such, it could change the way that a class of distributed systems is built. |
Starting Page | 279 |
Ending Page | 294 |
Page Count | 16 |
File Format | |
ISBN | 9781450309776 |
DOI | 10.1145/2043556.2043583 |
Language | English |
Publisher | Association for Computing Machinery (ACM) |
Publisher Date | 2011-10-23 |
Publisher Place | New York |
Access Restriction | Subscribed |
Subject Keyword | Failure detectors Reliable detection High availability Layer-specific monitors Stonith Layer-specific probes |
Content Type | Text |
Resource Type | Article |
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