Proceedings of the 4th ACM International Workshop on Modeling, Analysis and Simulation of Wireless and Mobile Systems 2001
DOI: 10.1145/381591.381604
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Performance analysis of internet based software retrieval systems using Petri Nets

Abstract: Nowadays, there exist web sites that allow users to retrieve and install software in an easy way. The performance of these sites may be poor if they are used in wireless networks; the reason is the inadequate use of the net resources they need. If this kind of systems are designed using mobile agent technology the previous problem might be avoided. In this paper, we present a comparison between the performance of a software retrieval system especially designed to be used in wireless networks (e.g., mobile comp… Show more

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Cited by 6 publications
(2 citation statements)
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“…Generation of performance models and performance assessment throughout the life cycle is widely discussed in [2], [3]. The method for integrating both design and performance activity in clientserver application discussed in [6], [13]. Performance analysis of Internet based software retrieval systems using petrinets and a comparative study proposed in [13].…”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation
“…Generation of performance models and performance assessment throughout the life cycle is widely discussed in [2], [3]. The method for integrating both design and performance activity in clientserver application discussed in [6], [13]. Performance analysis of Internet based software retrieval systems using petrinets and a comparative study proposed in [13].…”
Section: Introductionmentioning
confidence: 99%
“…The method for integrating both design and performance activity in clientserver application discussed in [6], [13]. Performance analysis of Internet based software retrieval systems using petrinets and a comparative study proposed in [13]. Performance analysis using different diagrams of (UML) widely discussed in [7], [8], [9], [10], [11], [18].…”
Section: Introductionmentioning
confidence: 99%