Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/251831
Title: Certain investigations on improving hit ratio and byte hit ratio by combining intelligent web caching with web pre fetching techniques
Researcher: Vijilesh V
Guide(s): Nedunchezhian R
Keywords: Byte Hit Ratio
Engineering and Technology,Computer Science,Computer Science Theory and Methods
Hit Ratio
Intelligent Web Caching
Web Pre-Fetching Techniques
University: Anna University
Completed Date: 2017
Abstract: Internet has become the universal source of information for billions of people at homes at educational institutions, and at workplaces The number of Internet users is continuing to be on the rise and is expected to cross 50% of the world population in the next few years Internet users experience significant delay in access to information due to this enormous growth in web trafficTo overcome this delay the frequently accessed information may be maintained in a location nearer to the user typically in a cache memory As the cache size is limited efficient replacement techniques have to be deployed when the cache becomes full Hit RatioHR and Byte Hit Ratio BHR are the two parameters used to analyze the efficiency of web caching techniques Web caching is the process of maintaining copies of web objects in the cache memory that are available in the original server thereby having the distinct advantage of serving the user requests immediately Web prefetching is a techniquenthat is used to preload the yet to be requested web objects with an expectation that a user will be requesting it in the future In the literature survey carried out many works for improving HR and BHR have been implemented by considering web caching and web pre fetching techniques individually For web caching traditional page replacement techniques like Least Recently Used LRU and Least Frequently Used LFU are considered by researchers By considering intelligent web caching techniques researchers have demonstrated improved performance in terms of HR and BHR In this proposed work it is demonstrated that by combining intelligent web caching techniques with web pre fetching technique, the HR and BHR are significantly improved In this research LRU Support Vector Machine SVM Bayesian and Neurofuzzy techniques are used for web caching. Clustering and Spatial Weight Matrix SWM methods are used individually for web pre fetching In clustering, both inter-site and intra site clustering are considered newline
Pagination: xix, 127p.
URI: http://hdl.handle.net/10603/251831
Appears in Departments:Faculty of Information and Communication Engineering

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01_title.pdfAttached File55.37 kBAdobe PDFView/Open
02_certificates.pdf211.34 kBAdobe PDFView/Open
03_abstract.pdf50.51 kBAdobe PDFView/Open
04_acknowledgement.pdf26.21 kBAdobe PDFView/Open
05_contents.pdf84.6 kBAdobe PDFView/Open
06_list_of_abbreviations.pdf9.54 kBAdobe PDFView/Open
07_chapter1.pdf140.8 kBAdobe PDFView/Open
08_chapter2.pdf460.79 kBAdobe PDFView/Open
09_chapter3.pdf369.79 kBAdobe PDFView/Open
10_chapter4.pdf99.01 kBAdobe PDFView/Open
11_chapter5.pdf72.85 kBAdobe PDFView/Open
12_conclusion.pdf25.85 kBAdobe PDFView/Open
13_appendices.pdf106.12 kBAdobe PDFView/Open
14_references.pdf105.05 kBAdobe PDFView/Open
15_list_of_publications.pdf65.41 kBAdobe PDFView/Open
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