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Automatic Middleware Deployment Planning on Heterogeneous Platfoms

Abstract : The use of many distributed, heterogeneous resources as a large collective platform offers great potential. A key issue for these grid platforms is middleware scalability and how middleware services can be mapped on the available resources. Optimizing deployment is a difficult problem with no existing general solutions. In this paper, we address the following problem: how to perform out an adapted deployment for a hierarchy of servers and resource brokers on a heterogeneous system? Our objective is to generate a best platform from the available nodes so as to fulfill the clients demands. However, finding the best deployment among heterogeneous resources is a hard problem since it is close to find the best broadcast tree in a general graph, which is known to be NP-complete. Thus, in this paper, we present a heuristic for middleware deployment on heterogeneous resources. We apply our heuristic to automatically deploy a distributed Problem Solving Environment on a large scale grid. We present experiments comparing the automatically generated deployment against a number of other reasonable deployments.
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Contributor : Eddy Caron Connect in order to contact the contributor
Submitted on : Friday, January 6, 2017 - 1:00:28 PM
Last modification on : Tuesday, October 25, 2022 - 4:24:18 PM

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Eddy Caron, Pushpinder Kaur Chouhan, Frédéric Desprez. Automatic Middleware Deployment Planning on Heterogeneous Platfoms. HCW 2008 - 17th Heterogeneous Computing Workshop, In conjunction with IPDPS 2008, Apr 2008, Miami, United States. pp.1-13, ⟨10.1109/IPDPS.2008.4536171⟩. ⟨hal-01428310⟩



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