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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Djamaï, M. Derbel, B. Melab, N. |
| Copyright Year | 2011 |
| Abstract | The state-of-the-art large scale approach for solving NP-hard permutation-based problems using parallel Branch-and-Bound (B&B) techniques is based on a Master-Slave model which is known to be limited in terms of scalability. In this paper, we present a new Peer-to-Peer (P2P) approach that can handle a huge amount of computational resources in a fully distributed way, that is without the need of any centralized coordinator. To achieve that, we propose simple and efficient fully distributed algorithms dealing with major parallel B&B issues such as work sharing, dynamic load balancing and termination detection. We argue that our P2P approach has a scalability which is exponentially better in theory compared to the Master-Slave technique while having a negligible communication overhead in a worst case-scenario, namely poly-logarithmic. The approach has been implemented and experimented using the Grid'5000 nation-wide French grid. Through extensive simulations involving up to 150 000 peers, we show that, compared to the state-of-the-art Master-Slave technique, our P2P approach enables (i) to improve the parallel efficiency up to a ratio of 6 to 1, (ii) to significantly speed up the B&B search process, namely by up to 7 factor in terms of number of solutions explored in the search space and, (iii) to keep the communication overhead relatively low, namely by a factor of at most 11 without penalizing the search process. |
| Starting Page | 1788 |
| Ending Page | 1797 |
| File Size | 815411 |
| Page Count | 10 |
| File Format | |
| ISBN | 9781612844251 |
| ISSN | 15302075 |
| DOI | 10.1109/IPDPS.2011.337 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2011-05-16 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Algorithm design and analysis Peer to peer computing Scalability Computational modeling Redundancy Master-slave Space exploration |
| Content Type | Text |
| Resource Type | Article |
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