Abstract
In this paper, we present a multiagent-based scheduling framework for several classes of multi-component applications. We consider this scheduling problem in today’s heterogeneous distributed systems. The heterogeneous nature of most parallel applications and distributed computing resource environments, makes this a challenging problem. However, the current off-the-shelf scheduling software can hardly cope with the demands for high performance and scalable computing power required by these applications. This paper proposes a scheduling mechanism that integrates routing indices with multi-agent system, to perform global scheduling in a collaborative and coordinated manner. Our intent is to apply agent-based distributed problem solving technique to address the problem of multi-component system scheduling.
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Ezugwu, A.E., Frincu, M.E., Junaidu, S.B. (2015). A Multiagent-Based Approach to Scheduling of Multi-component Applications in Distributed Systems. In: Silhavy, R., Senkerik, R., Oplatkova, Z., Prokopova, Z., Silhavy, P. (eds) Artificial Intelligence Perspectives and Applications. Advances in Intelligent Systems and Computing, vol 347. Springer, Cham. https://doi.org/10.1007/978-3-319-18476-0_1
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DOI: https://doi.org/10.1007/978-3-319-18476-0_1
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-18475-3
Online ISBN: 978-3-319-18476-0
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