Citation
Ghouchani, Babak Esmaeilpour and Abdullah, Azizol and Abdul Hamid, Nor Asila Wati and Abdul Rahman, Amir Rizaan
(2016)
A feedback based prediction model for real time workload in a cloud.
Journal of Theoretical and Applied Information Technology, 87 (3).
pp. 365-373.
ISSN 1992-8645; ESSN: 1817-3195
Abstract
Most of the distributed systems such as a cloud environment have a nondeterministic structure, and it would cause a serious problem to perform tasks with a time limit. Therefore, many prediction models and performance analyzes being used in the cloud to determine environment for users. Nevertheless, most of these models have a single objective for optimal resource absorption. Which means, they considered just one objective, such as a time limit and other issues are overlooked. In this paper, we proposed a novel model in Cloud to determine environment for the real-time workload. We applied a multi-objective model to absorb optimal resources under reasonable user cost and maximum user sharing. Performance evaluation on CloudSim proves that the new approach outperforms other existing, state-of-the-art methods.
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