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Atomic incremental garbage collection and recovery for a large stable heap
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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: 177 - 186  
Year of Publication: 1993
ISBN:0-89791-592-5
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Authors
Elliot K. Kolodner  IBM Israel Science and Technology, MATAM Advanced Technology Center, Haifa 31905 Israel
William E. Weihl  MIT Lab. for Computer Science, 545 Technology Square, 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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Downloads (6 Weeks): 2,   Downloads (12 Months): 25,   Citation Count: 11
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ABSTRACT

A stable heap is storage that is managed automatically using garbage collection, manipulated using atomic transactions, and accessed using a uniform storage model. These features enhance reliability and simplify programming by preventing errors due to explicit deallocation, by masking failures and concurrency using transactions, and by eliminating the distinction between accessing temporary storage and permanent storage. Stable heap management is useful for programming languages for reliable distributed computing, programming languages with persistent storage, and object-oriented database systems. Many applications that could benefit from a stable heap (e.g., computer-aided design, computer-aided software engineering, and office information systems) require large amounts of storage, timely responses for transactions, and high availability. We present garbage collection and recovery algorithms for a stable heap implementation that meet these goals and are appropriate for stock hardware. The collector is incremental: it does not attempt to collect the whole heap at once. The collector is also atomic: it is coordinated with the recovery system to prevent problems when it moves and modifies objects. The time for recovery is independent of heap size, even if a failure occurs during garbage collection.


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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CITED BY  11

Collaborative Colleagues:
Elliot K. Kolodner: colleagues
William E. Weihl: colleagues