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Title: Development of software metrics framework for hierarchical performance evaluation of multi agent systems
Researcher: Vengattaraman, T
Guide(s): Dhavachelvan, P
Keywords: Matrix
Computer Science
Upload Date: 20-Nov-2012
University: Pondicherry University
Completed Date: 19/07/2010
Abstract: This research work proposes a set of enhanced measurement schemes for evaluating the performance of the Multi Agent Systems (MASs) at refined grained levels. This work has been primarily motivated by the fact that a fine grained measurement framework seems to be a better approach for quantifying the MAS performance attributes and hence they can facilitate the designers and developers to assess the MASs at different hierarchies. The goals of this research are derived such that to extend the support to the intended users to evaluate the performance of the MAS at different levels and they are defined as follows: I. Improve the level of granularization of measuring the performance attributes in MASs. II. Quantify the performance issues of MASs at the extended fine grained levels. III. Improve the performance evaluation schemes of MASs at different hierarchies. Here the goals are much focused and more quantifiable. The first goal reflects the level of decomposition of the MAS models w.r.t. the scheme of performance evaluation and the second goal is measurement-oriented, in which it is supposed to measure the internal components of the outcomes of the first goal. The results of these two goals form a base for the third goal, which depicts the significance of the proposed research. newlineThis work presents novel measurement schemes for MAS performance evaluation, particularly focused on communication and coordination points of views. It is very important to note that this work quantifies the performance of the MAS at different hierarchies, which have not been attended by the prior related works. The proposed metrics models are validated by means of variety of experiments, which are being conducted across diversified sample applications. The experiments are designed such that to accommodate all the proposed metrics models at different scenarios. A MAS based distributed testing framework has been used as the common test bed in order to facilitate the experiments to be performed.
Pagination: xviii, 177p.
Appears in Departments:Department of Computer Science

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01_title.pdfAttached File106.78 kBAdobe PDFView/Open
02_bonafide certificate.pdf106.7 kBAdobe PDFView/Open
03_abstract.pdf13.06 kBAdobe PDFView/Open
04_acknowledgement.pdf40.78 kBAdobe PDFView/Open
05_table of contents.pdf26.88 kBAdobe PDFView/Open
06_list of tables.pdf12.52 kBAdobe PDFView/Open
07_list of figures.pdf32.11 kBAdobe PDFView/Open
08_abbreviations.pdf14.5 kBAdobe PDFView/Open
09_chapter 1.pdf130.53 kBAdobe PDFView/Open
10_chapter 2.pdf103.45 kBAdobe PDFView/Open
11_chapter 3.pdf183.44 kBAdobe PDFView/Open
12_chapter 4.pdf457.59 kBAdobe PDFView/Open
13_chapter 5.pdf348.81 kBAdobe PDFView/Open
14_chapter 6.pdf442.68 kBAdobe PDFView/Open
15_chapter 7.pdf2.73 MBAdobe PDFView/Open
16_chapter 8.pdf67.28 kBAdobe PDFView/Open
17_references.pdf135.81 kBAdobe PDFView/Open
18_list of publications.pdf76.64 kBAdobe PDFView/Open

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