An Efficient Multi-Cloud Service Composition Using a Distributed Multiagent-Based, Memory-Driven Approach

Philip Kendrick, Thar Baker, Zakaria Maamar, Abir Hussain, Rajkummar Buyya, Dhiya Al-Jumeily

Research output: Contribution to journalArticlepeer-review


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 localized agent-based memory searches, the amount of actions (with their associated energy costs) can be reduced by over 50 percent which results in a lower energy cost per composition request.
Original languageEnglish
Pages (from-to)358 - 369
Number of pages11
JournalIEEE Transactions on Sustainable Computing
Issue number3
Publication statusPublished - 18 Nov 2018

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