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A Community-based Cloud Computing Caching Service

Idachaba, Unekwu, Wang, Frank Z. (2015) A Community-based Cloud Computing Caching Service. In: 2015 IEEE International Congress on Big Data (BigData Congress). . IEEE (doi:10.1109/BigDataCongress.2015.87)

Abstract

Caching has become an important technology in the development of cloud computing-based high-performance web services. Caches reduce the request to response latency experienced by users, and reduce workload on backend databases. They need a high cache-hit rate to be fit for purpose, and this rate is dependent on the cache management policy used. Existing cache management policies are not designed to prevent cache pollution or cache monopoly problems, which impacts negatively on the cache-hit rate. This paper proposes a community-based caching approach (CC) to address these two problems. CC was evaluated for performance against thirteen commercially available cache management policies, and results demonstrate that the cache-hit rate achieved by CC was between 0.7% and 55% better than the alternate cache management policies.

Item Type: Conference or workshop item (Paper)
DOI/Identification number: 10.1109/BigDataCongress.2015.87
Uncontrolled keywords: Cache, Cloud Computing, Clustering, Artificial Bee Colony
Subjects: Q Science > QA Mathematics (inc Computing science)
Divisions: Faculties > Sciences > School of Computing > Data Science
Depositing User: Frank Wang
Date Deposited: 02 Nov 2015 19:54 UTC
Last Modified: 06 Feb 2020 04:13 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/51361 (The current URI for this page, for reference purposes)
Wang, Frank Z.: https://orcid.org/0000-0003-4378-2172
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