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dc.contributor.authorYee, Wai Genen_US
dc.contributor.authorOmiecinski, Edward Robert
dc.contributor.authorNavathe, Shamkant B.
dc.contributor.authorAmmar, Mostafa H. (Mostafa Hamed)
dc.contributor.authorDonahoo, Michael J.
dc.contributor.authorMalik, Sanjoy
dc.date.accessioned2005-06-17T17:48:27Z
dc.date.available2005-06-17T17:48:27Z
dc.date.issued1999en_US
dc.identifier.urihttp://hdl.handle.net/1853/6619
dc.description.abstractReplication of data on portable computers is a new DBMS technology aimed at catering to a growing population of mobile database users. Clients can download data items such as email, or sales data from a server onto these machines, per use it during commutes, and return any modifications to the server at the end of the day. In this paper, we describe how the servers in these systems generally process update information for clients and reveal a scalability problem--server processing increases quadratically with respect to increasing numbers of clients. We develop a cost model, and propose a solution based on heuristics. By aggregating client interests into datagroups, based on notions such as interest overlap, we can reduce server cost. These techniques are attractive because they are simple and computationally cheap. Simulations show that even simple techniques may yield significant performance improvements.en_US
dc.format.extent290099 bytes
dc.format.mimetypeapplication/pdf
dc.language.isoen_US
dc.publisherGeorgia Institute of Technologyen_US
dc.relation.ispartofseriesCC Technical Report; GIT-CC-99-19en_US
dc.subjectReplication
dc.subjectMobile environments
dc.subjectScalability
dc.subjectHeuristics
dc.subjectCost effectiveness
dc.subjectDistributed data
dc.subjectMemory consistency
dc.subjectIntermittently sychronized databases
dc.titleA Greedy Approach For Improving Update Processing In Intermittently Synchronized Databasesen_US
dc.typeTechnical Reporteng_US


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