DocumentCode :
1442186
Title :
Using Java Mobile Agents and PSO for Implementing a Distributed Antenna-Optimization Platform [EM Programmer´s Notebook]
Author :
Papadopoulos, K.A. ; Athanaileas, T.E. ; Kaklamani, Dimitra I.
Author_Institution :
Sch. of Electr. & Comput. Eng., Nat. Tech. Univ. of Athens, Athens, Greece
Volume :
51
Issue :
5
fYear :
2009
Firstpage :
128
Lastpage :
136
Abstract :
Various techniques and platforms have been introduced for the effective use of distributed computational resources when using specialized computational electromagnetics (CEM) simulation software for designing antennas. These techniques usually impose significant entry barriers to researchers, in the form of a steep learning curve for specialized application programming interfaces (APIs), or limited access to resources such as clusters or computational grids. The current paper discusses a sophisticated approach for alleviating these barriers, with the fusion of the programming paradigms of object-oriented programming and mobile agents. A case study concerning the development of a distributed Particle Swarm Optimization (PSO) platform - an increasingly popular algorithm within the antenna-research community - is thoroughly analyzed and presented as an example of data-level parallelism. Various aspects of computational efficiency in terms of scaling have been examined, in order to estimate the merits of the proposed approach. The aim of the analysis is to stress the advantages of the above-mentioned techniques for the effective loose coupling of CEM programs with distributed resources, demonstrating ease of application, improved scalability, and future expandability.
Keywords :
Java; antennas; application program interfaces; computational electromagnetics; mobile agents; object-oriented programming; particle swarm optimisation; simulation; Java mobile agents; PSO; application programming interfaces; computational electromagnetics; distributed antenna-optimization platform; distributed computational resources; object-oriented programming; particle swarm optimization; simulation software; Application software; Computational electromagnetics; Computational modeling; Distributed computing; Java; Mobile agents; Mobile antennas; Object oriented modeling; Object oriented programming; Software design; Mobile agents; antenna optimization; antenna radiation patterns; distributed computing; optimization; particle swarm optimization;
fLanguage :
English
Journal_Title :
Antennas and Propagation Magazine, IEEE
Publisher :
ieee
ISSN :
1045-9243
Type :
jour
DOI :
10.1109/MAP.2009.5432062
Filename :
5432062
Link To Document :
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