A Framework to improve the Web Performance using Reorganization, Optimized Prediction and Prefetching
K. Shyamala1, S. Kalaivani2, A. Murugan3
1K. Shyamala, Associate Professor, PG & Research Department of Computer Science, Dr.Ambedkar Government Arts College (Autonomous), Affiliated to University of Madras, Chennai, India.
2S. Kalaivani, Research Scholar, PG & Research Department of Computer Science, Dr.Ambedkar Government Arts College (Autonomous), Affiliated to University of Madras, Chennai, India.
3A. Murugan, Associated Professor, PG & Research Department of Computer Science, Dr.Ambedkar Government Arts College (Autonomous), Affiliated to University of Madras, Chennai, India
Manuscript received on 13 August 2019. | Revised Manuscript received on 21 August 2019. | Manuscript published on 30 September 2019. | PP: 7791-7796 | Volume-8 Issue-3 September 2019 | Retrieval Number: C6332098319/2019©BEIESP | DOI: 10.35940/ijrte.C6332.098319
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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: Improving web performance is becoming more hectic in recent days. This paperelucidates the combination of many ideas to improve web performance and given as a framework. The entire framework depicts various aspects in improving web access performance which includes website reorganization, webpage prediction and prefetching, optimized way of accessing prediction algorithm in webserver and finally improvements in a proxy cache at the time of accessing dynamic content. Each portion of the framework has been successfully proposed and implemented. The various algorithms have been introduced in each portion of the implementation. This research work not only introduced new algorithms but also create scope for further research works in terms of improving web performance.
Keywords: Web Performance, Website Reorganization, Prediction and Prefetching, Proxy Cache, Dynamic Content.
Scope of the Article: Patterns and Frameworks