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| Content Provider | ACM Digital Library |
|---|---|
| Author | Herlihy, Maurice Lynch, Nancy Merritt, Michael Weihl, William |
| Copyright Year | 1992 |
| Abstract | In a distributed system, node failures, network delays, and other unpredictable occurences can result in $\textit{orphan}$ computations—subcomputations that continue to run but whose results are no longer needed. Several algorithms have been proposed to prevent such computations from seeing inconsistent states of the shared data. In this paper, two such orphan management algorithms are analyzed. The first is an algorithm implemented in the Argus distributed-computing system at MIT, and the second is an algorithm proposed at Carnegie-Mellon. The algorithms are described formally, and complete proofs of their correctness are given.The proofs show that the fundamental concepts underlying the two algorithms are very similar in that each can be regarded as an implementation of the same high-level algorithm. By exploiting properties of information flow within transaction management systems, the algorithms ensure that orphans only see states of the shared data that they could also see if they were not orphans. When the algorithms are used in combination with any correct concurrency control algorithm, they guarantee that all computations, orphan as well as nonorphan, see consistent states of the shared data. |
| Starting Page | 881 |
| Ending Page | 930 |
| Page Count | 50 |
| File Format | |
| ISSN | 00045411 |
| e-ISSN | 1557735X |
| DOI | 10.1145/146585.146616 |
| Journal | Journal of the ACM (JACM) |
| Volume Number | 39 |
| Issue Number | 4 |
| Language | English |
| Publisher | Association for Computing Machinery (ACM) |
| Publisher Date | 1992-10-01 |
| Publisher Place | New York |
| Access Restriction | One Nation One Subscription (ONOS) |
| Subject Keyword | Argus Atomic actions Avalon Camelot Input-output automata Recovery Serializability |
| Content Type | Text |
| Resource Type | Article |
| Subject | Hardware and Architecture Information Systems Control and Systems Engineering Artificial Intelligence Software |
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