Caching and prefetching are well known strategies for improving the performance of Internet systems. The heart of a caching system is its document replacement policy, which selects the pages to be replaced in a cache when cache is full and a new request arrives. Similarly, the essence of a prefetching algorithm lies in its ability to accurately predict future requests. This book presents method which aims at augmenting frequency and de-augmenting size and finding future frequency using statistical techniques in Web usage mining domain from the historical data in Web server and Web proxy logs. Using these parameters, we extend the well-known GDSF policy. We make the policy intelligent by periodically updating future frequency when some condition becomes false. In addition, we present a new method to integrate this caching algorithm with our Static prefetching algorithm. We empirically show that the system performance in terms of hit rate and byte hit rate is greatly improved using the integrated approach.
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Jayantrao B. Patil, Ph.D: Studied Computer Science at IIT,Kharagpur. Principal & Professor at R. C. Patel Institute of Technology, Shirpur, India. Also Dean, Faculty of Engineering & Technology, at North Maharashtra University, Jalgaon. Research interests include Web Caching, Web Prefetching, Web Data Mining, Biometrics, and Digital Watermarking.
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Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Caching and prefetching are well known strategies for improving the performance of Internet systems. The heart of a caching system is its document replacement policy, which selects the pages to be replaced in a cache when cache is full and a new request arrives. Similarly, the essence of a prefetching algorithm lies in its ability to accurately predict future requests. This book presents method which aims at augmenting frequency and de-augmenting size and finding future frequency using statistical techniques in Web usage mining domain from the historical data in Web server and Web proxy logs. Using these parameters, we extend the well-known GDSF policy. We make the policy intelligent by periodically updating future frequency when some condition becomes false. In addition, we present a new method to integrate this caching algorithm with our Static prefetching algorithm. We empirically show that the system performance in terms of hit rate and byte hit rate is greatly improved using the integrated approach. 220 pp. Englisch. Bestandsnummer des Verkäufers 9783639716566
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Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Patil Jayantrao B.Jayantrao B. Patil, Ph.D: Studied Computer Science at IIT,Kharagpur. Principal & Professor at R. C. Patel Institute of Technology, Shirpur, India. Also Dean, Faculty of Engineering & Technology, at North Maharashtra. Bestandsnummer des Verkäufers 151398578
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Taschenbuch. Zustand: Neu. An Integrated Prefetching and Caching Approach | for Web Browsers / Web Proxies | Jayantrao B. Patil (u. a.) | Taschenbuch | Englisch | 2014 | Scholars' Press | EAN 9783639716566 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. Bestandsnummer des Verkäufers 113176032
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Taschenbuch. Zustand: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Caching and prefetching are well known strategies for improving the performance of Internet systems. The heart of a caching system is its document replacement policy, which selects the pages to be replaced in a cache when cache is full and a new request arrives. Similarly, the essence of a prefetching algorithm lies in its ability to accurately predict future requests. This book presents method which aims at augmenting frequency and de-augmenting size and finding future frequency using statistical techniques in Web usage mining domain from the historical data in Web server and Web proxy logs. Using these parameters, we extend the well-known GDSF policy. We make the policy intelligent by periodically updating future frequency when some condition becomes false. In addition, we present a new method to integrate this caching algorithm with our Static prefetching algorithm. We empirically show that the system performance in terms of hit rate and byte hit rate is greatly improved using the integrated approach.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 220 pp. Englisch. Bestandsnummer des Verkäufers 9783639716566
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Taschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Caching and prefetching are well known strategies for improving the performance of Internet systems. The heart of a caching system is its document replacement policy, which selects the pages to be replaced in a cache when cache is full and a new request arrives. Similarly, the essence of a prefetching algorithm lies in its ability to accurately predict future requests. This book presents method which aims at augmenting frequency and de-augmenting size and finding future frequency using statistical techniques in Web usage mining domain from the historical data in Web server and Web proxy logs. Using these parameters, we extend the well-known GDSF policy. We make the policy intelligent by periodically updating future frequency when some condition becomes false. In addition, we present a new method to integrate this caching algorithm with our Static prefetching algorithm. We empirically show that the system performance in terms of hit rate and byte hit rate is greatly improved using the integrated approach. Bestandsnummer des Verkäufers 9783639716566
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