Treffer: Towards a coordination model for parallel cooperative P2P multi-objective optimization

Title:
Towards a coordination model for parallel cooperative P2P multi-objective optimization
Source:
Advances in grid computing (Amsterdam, 14-16 February 2005, revised selected papers)Lecture notes in computer science. :305-314
Publisher Information:
Berlin: Springer, 2005.
Publication Year:
2005
Physical Description:
print, 12 ref
Original Material:
INIST-CNRS
Document Type:
Konferenz Conference Paper
File Description:
text
Language:
English
Author Affiliations:
LIFL, CNRS UMR 8022, INRIA Futurs - Dolphin, Université des Sciences et Technologies de Lille, 59655 - Villeneuve d'Ascq, France
ISSN:
0302-9743
Rights:
Copyright 2005 INIST-CNRS
CC BY 4.0
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
Notes:
Computer science; theoretical automation; systems
Accession Number:
edscal.17011319
Database:
PASCAL Archive

Weitere Informationen

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.