Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/35508
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dc.coverage.spatialEffective information retrieval using co operative clients and transparent proxy cache with prediction and prefetchingen_US
dc.date.accessioned2015-02-17T11:39:23Z-
dc.date.available2015-02-17T11:39:23Z-
dc.date.issued2015-02-17-
dc.identifier.urihttp://hdl.handle.net/10603/35508-
dc.description.abstractSearching in the web is an interesting application Information retrieval using web is an ever green field for research and is always the choice of researchers due to its importance in any real time application Every day the search engines processes billions of queries The increase in web users and web applications has led to increase in latency network congestion and server overloading Many research activities are going on to improve the search performance One well known traditional methodology is web caching When web caching is deployed it caches popular objects at the locations close to the clients newlineCache can be deployed at three levels client level proxy level and original server level Client level local cache is a part of hard disk in local browser allocated for web object caching But the current browser cache cannot share their contents with other clients Each browser cache is isolated and its resources are not utilized completely A co operative browser level web cache sharing system based on chord is suggested for performance improvement A proxy server is residing between client machines and the web server It can service request from a number of clients For each user request the system first checks the result in the local cache or in the authenticated cooperative caches In both the cases if a miss occurs the proxy checks whether it has a valid retrieved result newline newlineen_US
dc.format.extentxxiii, 165p.en_US
dc.languageEnglishen_US
dc.relationp158-163.en_US
dc.rightsuniversityen_US
dc.titleEffective information retrieval using co operative clients and transparent proxy cache with prediction and prefetchingen_US
dc.title.alternativeen_US
dc.creator.researcherKalarani Sen_US
dc.subject.keywordClient level local cacheen_US
dc.subject.keywordclient level proxy levelen_US
dc.description.noteappendix p150-157, reference p158-163.en_US
dc.contributor.guideUma G Ven_US
dc.publisher.placeChennaien_US
dc.publisher.universityAnna Universityen_US
dc.publisher.institutionFaculty of Information and Communication Engineeringen_US
dc.date.registeredn.d,en_US
dc.date.completed01/10/2014en_US
dc.date.awarded30/10/2014en_US
dc.format.dimensions23cm.en_US
dc.format.accompanyingmaterialNoneen_US
dc.source.universityUniversityen_US
dc.type.degreePh.D.en_US
Appears in Departments:Faculty of Information and Communication Engineering

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01_title.pdfAttached File41.92 kBAdobe PDFView/Open
02_certificate.pdf389.37 kBAdobe PDFView/Open
03_abstract.pdf15.44 kBAdobe PDFView/Open
04_acknowledgement.pdf6.15 kBAdobe PDFView/Open
05_content.pdf41.11 kBAdobe PDFView/Open
06_chapter1.pdf179.17 kBAdobe PDFView/Open
07_chapter2.pdf111 kBAdobe PDFView/Open
08_chapter3.pdf146.78 kBAdobe PDFView/Open
09_chapter4.pdf399.45 kBAdobe PDFView/Open
10_chapter5.pdf747.84 kBAdobe PDFView/Open
11_chapter6.pdf825.13 kBAdobe PDFView/Open
12_chapter7.pdf22.03 kBAdobe PDFView/Open
13_appendix.pdf35.11 kBAdobe PDFView/Open
14_reference.pdf247.23 kBAdobe PDFView/Open
15_publication.pdf41.11 kBAdobe PDFView/Open


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