Kendrick, P, Baker, T, Maamar, Z, Hussain, A, Buyya, R and Al-Jumeily, D (2018) An Efficient Multi-Cloud Service Composition Using A Distributed Multiagent-based, Memory-driven Approach. IEEE Transactions on Sustainable Computing. ISSN 2377-3782

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Abstract

Cloud services are often distributed across several data centers requiring new scalable approaches to efficiently perform searching to reduce the energy and price cost of fulfilling requests. Multiagent-based systems have arisen as a powerful technique for improving distributed processing on a wide scale, which can operate in environments where partial observability is the norm and the cost of prolonged search can be exponential. In this paper, we present a multiagent-based service composition approach, using agent-matchmakers and agent-representatives, for the efficient retrieval of distributed services and propagation of information within the agent network to reduce the amount of brute-force search. Our extensive simulation results indicate that by introducing localised agent-based memory searches, the amount of actions (with their associated energy costs) can be reduced by over 50% which results in a lower energy cost per composition request.

Item Type:	Article
Additional Information:	© 2018 IEEE
Subjects:	Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions:	Computer Science & Mathematics
Publisher:	Institute of Electrical and Electronics Engineers
Date Deposited:	22 Nov 2018 11:58
Last Modified:	04 Sep 2021 09:55
DOI or ID number:	10.1109/TSUSC.2018.2881416
URI:	https://researchonline.ljmu.ac.uk/id/eprint/9703

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