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Performance evaluation of ephemeral logging
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Source International Conference on Management of Data archive
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
John S. Keen  Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, MA
William J. Dally  Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, MA
Sponsors
SIGACT: ACM Special Interest Group on Algorithms and Computation Theory
SIGART: ACM Special Interest Group on Artificial Intelligence
SIGMOD: ACM Special Interest Group on Management of Data
Publisher
ACM  New York, NY, USA
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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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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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Collaborative Colleagues:
John S. Keen: colleagues
William J. Dally: colleagues

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