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 +5 more
- 01 Jul 2021
- Vol. 6, Iss: 3, pp 358-369
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TL;DR: This paper presents 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.
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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 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.
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Resource provisioning for data-intensive applications with deadline constraints on hybrid clouds using Aneka
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Service Composition in Cyber-Physical-Social Systems
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