Location-Based Caching Scheme for Mobile Clients
The Voronoi Diagram(VD) is the most suitable mechanism to find the nearest neighbor(NN) for mobile clients. In NN query processing, it is important to reduce the query response time, since a late query response may contain out-of-date information. In this paper, we study the issue of location depend...
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creator | Park, KwangJin Song, MoonBae Hwang, Chong-Sun |
description | The Voronoi Diagram(VD) is the most suitable mechanism to find the nearest neighbor(NN) for mobile clients. In NN query processing, it is important to reduce the query response time, since a late query response may contain out-of-date information. In this paper, we study the issue of location dependent information services(LDISs) using a VD. To begin our study, we first introduce a broadcast-based spatial query processing methods designed to support NN query processing. In further sections, we introduce a generic method for location-dependent sequential prefetching and caching. The performance of this scheme is studied in different simulated environments. The core contribution of this research, resides in our analytical proof and experimental results. |
doi_str_mv | 10.1007/11563952_21 |
format | Conference Proceeding |
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In NN query processing, it is important to reduce the query response time, since a late query response may contain out-of-date information. In this paper, we study the issue of location dependent information services(LDISs) using a VD. To begin our study, we first introduce a broadcast-based spatial query processing methods designed to support NN query processing. In further sections, we introduce a generic method for location-dependent sequential prefetching and caching. The performance of this scheme is studied in different simulated environments. The core contribution of this research, resides in our analytical proof and experimental results.</description><edition>1ère éd</edition><identifier>ISSN: 0302-9743</identifier><identifier>ISBN: 9783540292272</identifier><identifier>ISBN: 3540292276</identifier><identifier>EISSN: 1611-3349</identifier><identifier>EISBN: 3540320873</identifier><identifier>EISBN: 9783540320876</identifier><identifier>DOI: 10.1007/11563952_21</identifier><language>eng</language><publisher>Berlin, Heidelberg: Springer Berlin Heidelberg</publisher><subject>Air index ; Applied sciences ; Computer science; control theory; systems ; Exact sciences and technology ; Information systems. Data bases ; Memory organisation. 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In NN query processing, it is important to reduce the query response time, since a late query response may contain out-of-date information. In this paper, we study the issue of location dependent information services(LDISs) using a VD. To begin our study, we first introduce a broadcast-based spatial query processing methods designed to support NN query processing. In further sections, we introduce a generic method for location-dependent sequential prefetching and caching. The performance of this scheme is studied in different simulated environments. The core contribution of this research, resides in our analytical proof and experimental results.</description><subject>Air index</subject><subject>Applied sciences</subject><subject>Computer science; control theory; systems</subject><subject>Exact sciences and technology</subject><subject>Information systems. Data bases</subject><subject>Memory organisation. Data processing</subject><subject>mobile computing</subject><subject>Software</subject><subject>wireless data broadcasting</subject><issn>0302-9743</issn><issn>1611-3349</issn><isbn>9783540292272</isbn><isbn>3540292276</isbn><isbn>3540320873</isbn><isbn>9783540320876</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2005</creationdate><recordtype>conference_proceeding</recordtype><recordid>eNpNkDtPwzAUhc1LIpRO_IEsDAwB33v9iEeIeElFDMBs2Y7TBtKkirvw75uqDJzhnOE7OsNh7Ar4LXCu7wCkIiPRIhyxC5KCE_JS0zHLQAEURMKcsLnR5Z6hQdR4yjJOHAujBZ2zeUrffBKB4qXIGF8MwW3boS8eXIp1Xrmwavtl_hFWcR3zZhjzt8G3Xcyrro39Nl2ys8Z1Kc7_csa-nh4_q5di8f78Wt0vig2C2RZlTRGVK4XQwoMmN3kAH9Gj5LoJYGolPalGoS5rr50MpkYPBlTdBG1oxq4PuxuXguua0fWhTXYztms3_lrQqKRUYurdHHppQv0yjtYPw0-ywO3-MvvvMtoBD6lWZA</recordid><startdate>2005</startdate><enddate>2005</enddate><creator>Park, KwangJin</creator><creator>Song, MoonBae</creator><creator>Hwang, Chong-Sun</creator><general>Springer Berlin Heidelberg</general><general>Springer</general><scope>IQODW</scope></search><sort><creationdate>2005</creationdate><title>Location-Based Caching Scheme for Mobile Clients</title><author>Park, KwangJin ; Song, MoonBae ; Hwang, Chong-Sun</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-p219t-8d3e26a84474b173a4b1c1be2b2507fc19d65b36f6278db7a5c9d2b1916dfc793</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2005</creationdate><topic>Air index</topic><topic>Applied sciences</topic><topic>Computer science; control theory; systems</topic><topic>Exact sciences and technology</topic><topic>Information systems. Data bases</topic><topic>Memory organisation. Data processing</topic><topic>mobile computing</topic><topic>Software</topic><topic>wireless data broadcasting</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Park, KwangJin</creatorcontrib><creatorcontrib>Song, MoonBae</creatorcontrib><creatorcontrib>Hwang, Chong-Sun</creatorcontrib><collection>Pascal-Francis</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Park, KwangJin</au><au>Song, MoonBae</au><au>Hwang, Chong-Sun</au><au>Yang, Jun</au><au>Fan, Wenfei</au><au>Wu, Zhaohui</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Location-Based Caching Scheme for Mobile Clients</atitle><btitle>Advances in Web-Age Information Management</btitle><date>2005</date><risdate>2005</risdate><spage>233</spage><epage>244</epage><pages>233-244</pages><issn>0302-9743</issn><eissn>1611-3349</eissn><isbn>9783540292272</isbn><isbn>3540292276</isbn><eisbn>3540320873</eisbn><eisbn>9783540320876</eisbn><abstract>The Voronoi Diagram(VD) is the most suitable mechanism to find the nearest neighbor(NN) for mobile clients. In NN query processing, it is important to reduce the query response time, since a late query response may contain out-of-date information. In this paper, we study the issue of location dependent information services(LDISs) using a VD. To begin our study, we first introduce a broadcast-based spatial query processing methods designed to support NN query processing. In further sections, we introduce a generic method for location-dependent sequential prefetching and caching. The performance of this scheme is studied in different simulated environments. The core contribution of this research, resides in our analytical proof and experimental results.</abstract><cop>Berlin, Heidelberg</cop><pub>Springer Berlin Heidelberg</pub><doi>10.1007/11563952_21</doi><tpages>12</tpages><edition>1ère éd</edition></addata></record> |
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subjects | Air index Applied sciences Computer science control theory systems Exact sciences and technology Information systems. Data bases Memory organisation. Data processing mobile computing Software wireless data broadcasting |
title | Location-Based Caching Scheme for Mobile Clients |
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