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Author Nangia, Prathyushi, author.
Title Implementation multidimensional max flow algorithm software agents model PageRank application / by Prathyushi Nangia.
Published [Northridge, California] : California State University, Northridge, 2012.
LOCATION CALL # STATUS
 Electronic Book  QA76 .Z95 2012 N36eb    ONLINE
  
Description 1 online resource (ix, 65 pages)
Content Type text
Format online resource
File Characteristics text file PDF
Thesis M.S. California State University, Northridge 2012.
Bibliography Includes bibliographical references (pages 64-65).
Access Restricted access; Author's permission required.
Summary The MMSA model works closely with optimization of algorithms and applications. The difference between an application and the MMSA integrated application is the ability of the MMSA to provide optimized solutions to the already existing one. The key ingredients of the MMSA model are software agents and the max flow algorithm. The successful implementation therefore depends on choosing the right Software Agent type and the best variation of the Max Flow algorithm. The aim of this project is to take a PageRank application into consideration and evaluate two variances: one could be called its original form as used in the present, and the other could be the optimized form or the modified form obtained after implementing the MMSA model. These two variances are then evaluated on performance basis. The final step of the project was to prepare a data analysis sheet that would help the authors to identify quickly and without fail the differences in performance between the original application and the modified application. The testing of the modified application was based on a list of elements that affect the performances of an application. A detailed comparison study was carried out to get appropriate information that satisfies the tester and the observers. Thus, the project has a process that consists of phases. The normal software development life cycle has been followed but the approach was more agile in nature. The application has been through a lot of ad-hoc and exploratory testing. The application has been developed in JavaScript. There is no database involved. The backend has been coded in HTML, JQuery 1.6.2 and JavaScript. The frontend or the user interface has been designed in terms of HTML and CSS. This tool has been developed in JavaScript and is embedded in the MMSA application code. The MMSA is a web application and has been hosted on a server. The proposed browser to use with this application is Mozilla Firefox.
Note Description based on online resource; title from PDF title page (viewed on January 19, 2012).
Subject Mathematical optimization -- Data processing.
JavaScript (Computer program language)
Local Subject Dissertations, Academic -- CSUN -- Computer Science.
OCLC number 849921247