Please use this identifier to cite or link to this item: https://scholarbank.nus.edu.sg/handle/10635/41273
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dc.titleAn adaptive peer-to-peer network for distributed caching of OLAP results
dc.contributor.authorKalnis, P.
dc.contributor.authorNg, W.S.
dc.contributor.authorOoi, B.C.
dc.contributor.authorPapadias, D.
dc.contributor.authorTan, K.-L.
dc.date.accessioned2013-07-04T08:23:39Z
dc.date.available2013-07-04T08:23:39Z
dc.date.issued2002
dc.identifier.citationKalnis, P.,Ng, W.S.,Ooi, B.C.,Papadias, D.,Tan, K.-L. (2002). An adaptive peer-to-peer network for distributed caching of OLAP results. Proceedings of the ACM SIGMOD International Conference on Management of Data : 25-36. ScholarBank@NUS Repository.
dc.identifier.issn07308078
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/41273
dc.description.abstractPeer-to-Peer (P2P) systems are becoming increasingly popular as they enable users to exchange digital information by participating in complex networks. Such systems are inexpensive, easy to use, highly scalable and do not require central administration. Despite their advantages, however, limited work has been done on employing database systems on top of P2P networks. Here we propose the PeerOLAP architecture for supporting On-Line Analytical Processing queries. A large number of low-end clients, each containing a cache with the most useful results, are connected through an arbitrary P2P network. If a query cannot be answered locally (i.e. by using the cache contents of the computer where it is issued), it is propagated through the network until a peer that has cached the answer is found. An answer may also be constructed by partial results from many peers. Thus PeerOLAP acts as a large distributed cache, which amplifies the benefits of traditional client-side caching. The system is fully distributed and can reconfigure itself on-the-fly in order to decrease the query cost for the observed workload. This paper describes the core components of PeerOLAP and presents our results both from simulation and a prototype installation running on geographically remote peers.
dc.sourceScopus
dc.typeConference Paper
dc.contributor.departmentCOMPUTER SCIENCE
dc.description.sourcetitleProceedings of the ACM SIGMOD International Conference on Management of Data
dc.description.page25-36
dc.identifier.isiutNOT_IN_WOS
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