Proposed Framework for the Reduction of Web Congestion using Classification
Neha Kohli1, Esha Dobhal2, Neha Sharma3
1Neha Kohli, Northern India Engineering College, Guru Gobind Singh Indraprastha University, New Delhi, India.
2Esha Dobhal, Northern India Engineering College, Guru Gobind Singh Indraprastha University, New Delhi, India.
3Neha Sharma, Northern India Engineering College, Guru Gobind Singh Indraprastha University, New Delhi, India.
Manuscript received on November 25, 2013. | Revised Manuscript received on December 15, 2013. | Manuscript published on December 30, 2013. | PP: 123-128 | Volume-3, Issue-2, December 2013. | Retrieval Number: B2411123213/2013©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Prefetching is the process of bringing data from the web server into the web cache before it is needed. When the client needs data, then instead of waiting for the responses from the memory, it can directly access the data from the cache. The prefetched data is stored in web cache in the form of web objects for later use. Caching is the technique of storing a copy of the data that has been requested by the client. Web caching is mainly used to reduce access latency, that is, it speeds up the process of data retrieval. It also reduces heavy load on the web server. The paper proposes a framework for reducing web traffic. The data is first extracted from the proxy server and then preprocessing is performed. The preprocessed data is then classified and the patterns to be prefetched are obtained.
Keywords: Prefetching, Classification, Proxy server, Cache.