An Efficient Multi-Cloud Service Composition Using A Distributed Multiagent-based, Memory-driven Approach

Document Type

Article

Source of Publication

IEEE Transactions on Sustainable Computing

Publication Date

1-1-2019

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.

ISSN

2377-3782

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Volume

PP

Disciplines

Computer Sciences

Indexed in Scopus

no

Open Access

yes

Open Access Type

Green: A manuscript of this publication is openly available in a repository

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