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    •   BracU IR
    • School of Engineering and Computer Science (SECS)
    • Department of Computer Science and Engineering (CSE)
    • Thesis & Report, BSc (Computer Science and Engineering)
    • View Item
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    Optimized file sharing application within local network

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    09301011 & 11201001.pdf (839.6Kb)
    Date
    2014-05
    Publisher
    BRAC University
    Author
    Islam, A.K.M. Nazmul
    Mizan, Md. Nigran Islam
    Metadata
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    URI
    http://hdl.handle.net/10361/3217
    Abstract
    File sharing is the practice of distributing or providing access to digitally stored information, such as computer programs, multimedia (audio, images and video), documents or electronic books. It may be implemented through a variety of ways. Either by using client server or by peer to peer methodology file sharing is conducted. Nowadays sharing files is a major part of the network usage. Files are being shared between multiple of users and thus creating a load on the network. Thus optimizing file sharing is important for the network to be efficient. The objective of this thesis was to study different file sharing algorithms and chose one that would create an optimized file sharing solution for a local area network using peer to peer method. Among different optimizing algorithms Ant Colony Optimization (ACO) was chosen and compared other available algorithms. Based on that, we have tried to develop a file sharing application within a local area network using the concept of peer to peer file sharing methodology named FAaNS. Thus this research gives an overview of the ACO algorithm, reasons behind choosing ACO and then finally the development of the file sharing application which will detect the nodes that have the files for sharing and will share the files optimally between nodes.
    Keywords
    Computer science and engineering
    Description
    This thesis report is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2014.
     
    Cataloged from PDF version of thesis report.
     
    Includes bibliographical references (page 30).
    Department
    Department of Computer Science and Engineering, BRAC University
    Collections
    • Thesis & Report, BSc (Computer Science and Engineering)

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