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A SpatioTemporal Placement Model for Caching Location Dependent Queries Anand Murugappan and Ling Liu College of Computing, Georgia Institute of Technology, Atlanta, USA {anandm, lingliu}@cc.gatech.edu
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Document Date: 2007-05-28 04:04:57


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Washington / DC / B. Bound / New York / /

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ACM Special Interest Group / IEEE Global Telecommunications / ACM Press / /

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United States / /

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CAD / /

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I85 North highway / Ling Liu College of Computing / Georgia Institute of Technology / T. Camp / IEEE INSTITUTE OF ELECTRICAL AND ELECTRONICS / /

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mobile computing / wireless mobile computing / mobile computing environment / mobile computing systems / mobile computing environments / mobile cache solutions / query processing / improved cache replacement algorithms / Web content delivery / location-based information services / information delivery services / spatio-temporal placement algorithms / nearest gas station / replacement algorithm / restricted computing capacity / nearest gas stations / Energy-efficient caching / Wireless Communications / gas stations / cellular network / computing / spatial cache replacement algorithm / locationdependent query processing / mobile information delivery systems / mobile cache systems / 3GHz processors / /

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Linux / /

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Caching Location Dependent Queries Anand Murugappan and Ling Liu College of Computing / Georgia Institute of Technology / Atlanta / IEEE Computer Society / /

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Michael J. Franklin / T. Shaul Dar / /

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spatio-temporal placement model for caching location-dependent queries / representative / /

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Samsung i85 Digital Camera / /

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Hoc / DC / /

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Pennsylvania / New York / /

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The Australian Computer Journal / IEEE Transactions on Computers / /

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engineering algorithms / spatial cache replacement algorithm / Linux / improved cache replacement algorithms / spatio-temporal placement algorithms / Wireless Communications / mobile computing / Data caching / Caching / simulation / replacement algorithm / 4 3GHz processors / mobile devices / CAD / /

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