Searching for just a few words should be enough to get started. If you need to make more complex queries, use the tips below to guide you.
Article type: Research Article
Authors: Zerrougui, Salima; b; * | Mokhati, Faridb; c | Badri, Mouradc | Babahenini, Mohamed Chaoukia; e
Affiliations: [a] Department of Mathematics and Computer Science, University of Mohamed Khider, Biskra, Algeria | [b] RelaCS2 Laboratory, University of Oum El Bouaghi, Algeria | [c] Department of Mathematics and Computer Science, University of Oum El Bouaghi, Algeria | [d] Department of Mathematics and Computer Science, Software Engineering Research Laboratory, University of Quebec, Trois-Rivières, QC, Canada | [e] LESIA Laboratory, University of Mohamed Khider, Biskra, Algeria
Correspondence: [*] Corresponding author: Salim Zerrougui, Department of Mathematics and Computer Science, University of Mohamed Khider, Biskra, Algeria. E-mail: [email protected].
Abstract: In multi-agent systems, the yellow pages service is very important for agents to be able to interact with each other. The more the number of agents is high, the more performance degradation will result, due to the overload of requests sent to central yellow pages. This issue didn’t get much attention from researchers despite its importance. The proposed approach for solving this scalability issue is based on the aspect-oriented paradigm. An aspect was used to play the roles of a replicator and a distributor of requests to several new yellow pages. The use of aspect-oriented programming simplifies the implementation, reduces the maintenance effort and offers a good reusability of the proposed solution. The approach is validated on three JADE applications and evaluated on five different machines. Results, which are very promising, show a significant scalability and performance improvement of the yellow pages service especially on Linux operating system.
Keywords: Perfective maintenance, performance, scalability, yellow pages, multi-agent systems
DOI: 10.3233/MGS-170267
Journal: Multiagent and Grid Systems, vol. 13, no. 2, pp. 177-201, 2017
IOS Press, Inc.
6751 Tepper Drive
Clifton, VA 20124
USA
Tel: +1 703 830 6300
Fax: +1 703 830 2300
[email protected]
For editorial issues, like the status of your submitted paper or proposals, write to [email protected]
IOS Press
Nieuwe Hemweg 6B
1013 BG Amsterdam
The Netherlands
Tel: +31 20 688 3355
Fax: +31 20 687 0091
[email protected]
For editorial issues, permissions, book requests, submissions and proceedings, contact the Amsterdam office [email protected]
Inspirees International (China Office)
Ciyunsi Beili 207(CapitaLand), Bld 1, 7-901
100025, Beijing
China
Free service line: 400 661 8717
Fax: +86 10 8446 7947
[email protected]
For editorial issues, like the status of your submitted paper or proposals, write to [email protected]
如果您在出版方面需要帮助或有任何建, 件至: [email protected]