Automatic middleware deployment planning on heterogeneous platforms

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 sc...

• Type: Conference
• Year: 2008
• Where: IPPS
• Authors: Pushpinder-Kaur Chouhan, Eddy Caron, Frédéric Desprez
• Keywords: Distributed And Parallel Computing, Heterogeneous Resources, IPPS 2008, Large Collective Platform, Middleware