Automatic Middleware Deployment Planning on Heterogeneous Platfoms - Inria - Institut national de recherche en sciences et technologies du numérique Access content directly
Conference Papers Year : 2008

Automatic Middleware Deployment Planning on Heterogeneous Platfoms


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.

Dates and versions

hal-01428310 , version 1 (06-01-2017)



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⟩
214 View
0 Download



Gmail Facebook X LinkedIn More