| Available via | http://dbpubs.stanford.edu/pub/2004-36 |
|
Submitted on |
14th of July 2004 |
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Author |
Ganesan, Prasanna; Sun, Qixiang; Garcia-Molina, Hector |
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Title |
Adlib: A Self-Tuning Index for Dynamic Peer-to-Peer Systems |
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Date of publication |
2004 |
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Published in |
Technical Report |
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Citation |
Ganesan, Prasanna; Sun, Qixiang; Garcia-Molina, Hector. Adlib: A Self-Tuning Index for Dynamic Peer-to-Peer Systems, Technical Report |
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Number of pages |
15 |
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Language |
English |
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Project |
Peers |
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Type |
Other |
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Subject group |
Distributed Systems; Query processing |
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Abstract |
Peer-to-peer (P2P) systems enable queries over a large database horizontally partitioned across a dynamic set of nodes. We devise a self-tuning index for such systems that can trade off index maintenance cost against query efficiency, in order to optimize the overall system cost. The index, Adlib, dynamically adapts itself to operate at the optimal trade-off point, even as the optimal configuration changes with nodes joining and leaving the system. We use experiments on realistic workloads to demonstrate that Adlib can reduce the overall system cost by a factor of four. |
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| Management of the document by | siroker@db.stanford.edu
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