Generative communication in Linda
ACM Transactions on Programming Languages and Systems (TOPLAS)
Peer-to-Peer: Harnessing the Power of Disruptive Technologies
Peer-to-Peer: Harnessing the Power of Disruptive Technologies
SETI@home: an experiment in public-resource computing
Communications of the ACM
Framework for Peer-to-Peer Distributed Computing in a Heterogeneous, Decentralized Environment
GRID '02 Proceedings of the Third International Workshop on Grid Computing
XtremWeb: Building an Experimental Platform for Global Computing
GRID '00 Proceedings of the First IEEE/ACM International Workshop on Grid Computing
Revised Papers from the NETWORKING 2002 Workshops on Web Engineering and Peer-to-Peer Computing
[15] Peer-to-Peer Architecture Case Study: Gnutella Network
P2P '01 Proceedings of the First International Conference on Peer-to-Peer Computing
Multicriteria Scheduling: Theory, Models and Algorithms
Multicriteria Scheduling: Theory, Models and Algorithms
Considerations in engineering parallel multiobjective evolutionary algorithms
IEEE Transactions on Evolutionary Computation
A parallel exact hybrid approach for solving multi- objective problems on the computational grid
IPDPS'06 Proceedings of the 20th international conference on Parallel and distributed processing
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Existing Dispatcher-Worker Peer-to-Peer (P2P) computing environments are well-suited for multi-parameter applications. However, they are limited regarding the parallel computing where the generated tasks need to communicate. In this paper, we investigate that limitation and propose a coordination model for parallel P2P multi-objective optimization (MOO). The model has been implemented on top of the XtremWeb middleware. Then, it has been experimented on a combinatorial optimization application: a parallel branch-and-bound algorithm applied to the multi-objective (MO) Flow-Shop scheduling problem. The preliminary results obtained on a network of 120 heterogeneous PCs demonstrate the efficiency of the proposed approach.