Citation

Ramasamy, Gobbi and Lakhina, Upasana and Singh, Niharika and Elamvazuthi, I. and Meriaudeau, F. and Nallagownden, P. and Jangra, Ajay (2018) Threshold Based Load Handling Mechanism for Multi-Agent Micro Grid Using Cloud Computing. In: 2018 International Conference on Intelligent and Advanced System (ICIAS). IEEE, pp. 1-6. ISBN 978-1-5386-7269-3, 978-1-5386-7270-9

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Abstract

Micro grid is an automated power system that incorporates advanced modern communication techniques and control methodologies into power grid. Its smartness lies in the intelligent and efficient decision making layer which can be enhanced using multi agent system. In this paper, multi agent system has been used in cloud computing where task from the consumer nodes for computing are handled by agents in accordance with set up threshold value to make the system more intelligent. The consumer nodes tasks are categorized as under loaded, lightly loaded, normally loaded, overloaded and highly overloaded while execution. The idea of threshold policy has been introduced in the multi agent based cloud computing to ensure the improvement in performance. This concept of threshold mechanism for task execution in the multi agent system deployed in cloud computing results in reduction of waiting time, improved processing time and effective resource utilization.

Item Type:	Book Section
Uncontrolled Keywords:	Cloud computing, load management, resource utilization, Multi agent system, micro grids
Subjects:	Q Science > QA Mathematics > QA71-90 Instruments and machines > QA75.5-76.95 Electronic computers. Computer science
Divisions:	Faculty of Engineering (FOE)
Depositing User:	Ms Suzilawati Abu Samah
Date Deposited:	19 Jan 2021 01:37
Last Modified:	19 Jan 2021 01:37
URII:	http://shdl.mmu.edu.my/id/eprint/7310

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