| Performance evaluation of ephemeral logging |
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International Conference on Management of Data
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Proceedings of the 1993 ACM SIGMOD international conference on Management of data
table of contents
Washington, D.C., United States
Pages: 187 - 196
Year of Publication: 1993
ISBN:0-89791-592-5
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Authors
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John S. Keen
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Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, MA
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William J. Dally
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Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, MA
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Downloads (6 Weeks): 2, Downloads (12 Months): 9, Citation Count: 3
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ABSTRACT
Ephemeral logging (EL) is a new technique for managing a log of database activity on disk. It does not require periodic checkpoints and does not abort lengthy transactions as frequently as traditional firewall logging for the same amount of disk space. Therefore, it is well suited for highly concurrent databases and applications which have a wide distribution of transaction lifetimes.
This paper briefly explains EL and then analyzes its performance. Simulation studies indicate that it can offer significant savings in disk space, at the expense of slightly higher bandwidth for logging and more main memory. The reduced size of the log implies much faster recovery after a crash as well as cost savings.
EL is the method of choice in some but not all situations. We assess the limitations of our current knowledge about EL and suggest promising directions for further research.
REFERENCES
Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.
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Jim Gray , Paul McJones , Mike Blasgen , Bruce Lindsay , Raymond Lorie , Tom Price , Franco Putzolu , Irving Traiger, The Recovery Manager of the System R Database Manager, ACM Computing Surveys (CSUR), v.13 n.2, p.223-242, June 1981
[doi> 10.1145/356842.356847]
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Robert B. Hagmann and Hector Garcia-Molina. Implementing Long Lived Transactions Using Log Record Forwarding. Technical Report CSL-91-2, Xerox Palo Alto Research Center, February 1991.
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John S. Keen. Logging and Recovery in a Highly Concurrent Stable Object Store. Technical Report OVA Memo #37, MIT, May 1991. Revised November, 1991.
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Mendel Rosenblum and John K. Ousterhout. The LFS Storage Manager. In Proc Summer '90 USENIX Technical Con.f, Anaheim, California, June 1990.
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