Enhancements to greedy web proxy caching algorithms using data mining method and weight assignment policy
- Title
- Enhancements to greedy web proxy caching algorithms using data mining method and weight assignment policy
- Creator
- Pernabas J.B.; Fidele S.F.
- Description
- A 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 objects and behaves as the proxy for the server and service 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. A 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 paper, the performances of the greedy replacement policies such as GDS, GDSF and GD* are adapted by the data mining method and weight assignment policy. Experiments were conducted on various data sets. Hit ratio and byte hit ratio were chosen as parameters for performance. 2018 ISSN.
- Source
- International Journal of Innovative Computing, Information and Control, Vol-14, No. 4, pp. 1311-1326.
- Date
- 2018-01-01
- Publisher
- ICIC International
- Subject
- Classification; Fuzzy bi-clustering; Web proxy caching; Weight assignment policy
- Coverage
- Pernabas J.B., Department of Computer Science and Engineering, Faculty of Engineering, Christ University, Kengeri Campus Mysore Road, Kanmanike, Kumbalgodu, Bangalore, 560074, India; Fidele S.F., Department of Computer Science and Engineering, Pondicherry Engineering College, Pillaichavadi, 605014, Puducherry, India
- Rights
- Restricted Access
- Relation
- ISSN: 13494198
- Format
- Online
- Language
- English
- Type
- Article
Collection
Citation
Pernabas J.B.; Fidele S.F., “Enhancements to greedy web proxy caching algorithms using data mining method and weight assignment policy,” CHRIST (Deemed To Be University) Institutional Repository, accessed February 24, 2025, https://archives.christuniversity.in/items/show/16893.