Enhancements to randomized web proxy caching algorithms using data mining classifier model
- Title
- Enhancements to randomized web proxy caching algorithms using data mining classifier model
- Creator
- Julian Benadit P.; Sagayaraj Fancis F.; James Raj A.M.
- Description
- Web proxy caching system is an intermediary between the users and servers that tries to alleviate the loads on the servers by caching selective web pages, behaves as the proxy for the server, and services the requests that are made to the servers by the users. In this paper, the performance of a proxy system is measured by the number of hits at the proxy. The higher number of hits at the proxy server reflects the effectiveness of the proxy system. The number of hits is determined by the replacement policies chosen by the proxy systems. Traditional replacement policies that are based on time and size are reactive and do not consider the events that will possibly happen in the future. The outcomes of the paper are proactive strategies that augment the traditional replacement policies with data mining techniques. In this work, the performance of the randomized replacement policies such as LRU-C, LRU-S, HARM, and RRGVF are adapted by the data mining classifier based on the weight assignment policy. Experiments were conducted on various data sets. Hit ratio and byte hit ratio were chosen as parameters for performance. Springer Nature Singapore Pte Ltd. 2019.
- Source
- Advances in Intelligent Systems and Computing, Vol-713, pp. 257-268.
- Date
- 2019-01-01
- Publisher
- Springer Verlag
- Subject
- Data mining classifier; Randomized replacement; Web proxy caching; Weight assignment policy
- Coverage
- Julian Benadit P., Department of Computer Science Engineering, Faculty of Engineering, Kengeri campus, CHRIST (Deemed To be University), Banglore, 560074, India; Sagayaraj Fancis F., Department of Computer Science and Engineering, Pondicherry Engineering College, Pondicherry, 605014, Puducherry, India; James Raj A.M., Department of Computer Science and Engineering, Pondicherry Engineering College, Pondicherry, 605014, Puducherry, India
- Rights
- Restricted Access
- Relation
- ISSN: 21945357; ISBN: 978-981131707-1
- Format
- Online
- Language
- English
- Type
- Conference paper
Collection
Citation
Julian Benadit P.; Sagayaraj Fancis F.; James Raj A.M., “Enhancements to randomized web proxy caching algorithms using data mining classifier model,” CHRIST (Deemed To Be University) Institutional Repository, accessed February 24, 2025, https://archives.christuniversity.in/items/show/20847.