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On communication in solving distributed constraint satisfaction problems (2005)
| Venue: | In Multi-Agent Systems and Applications IV, Proc. 4th International Central and Eastern European Conference on Multi-Agent Systems, CEEMAS 2005 |
| Citations: | 3 - 0 self |
BibTeX
@INPROCEEDINGS{Jung05oncommunication,
author = {Hyuckchul Jung and Milind Tambe},
title = {On communication in solving distributed constraint satisfaction problems},
booktitle = {In Multi-Agent Systems and Applications IV, Proc. 4th International Central and Eastern European Conference on Multi-Agent Systems, CEEMAS 2005},
year = {2005},
pages = {418--429},
publisher = {Springer}
}
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Abstract
Abstract. Distributed Constraint Satisfaction Problems (DCSP) is a general framework for multi-agent coordination and conflict resolution. In most DCSP algorithms, inter-agent communication is restricted to only exchanging values of variables, since any additional information-exchange is assumed to lead to significant communication overheads and to a breach of privacy. This paper provides a detailed experimental investigation of the impact of inter-agent exchange of additional legal values among agents, within a collaborative setting. We provide a new run-time model that takes into account the overhead of the additional communication in various computing and networking environments. Our investigation of more than 300 problem settings with the new run-time model (i) shows that DCSP strategies with additional information-exchange can lead to big speedups in a significant range of settings; and (ii) provides categorization of problem settings with big speedups by the DCSP strategies based on extra communication, enabling us to selectively apply the strategies to a given domain. This paper not only provides a useful method for performance measurement to the DCSP community, but also shows the utility of additional communication in DCSP. 1
Keyphrases
distributed constraint satisfaction problem additional information-exchange dcsp strategy new run-time model additional communication big speedup problem setting inter-agent exchange conflict resolution significant range general framework detailed experimental investigation constraint satisfaction problem useful method dcsp community performance measurement multi-agent coordination collaborative setting inter-agent communication networking environment dcsp algorithm significant communication overhead extra communication additional legal value
