• Login
    View Item 
    •   Research Bank Home
    • Study Areas
    • Computing
    • Computing Dissertations and Theses
    • View Item
    •   Research Bank Home
    • Study Areas
    • Computing
    • Computing Dissertations and Theses
    • View Item
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Load balancing in a distributed network environment : an ant colony inspired approach

    Veerisetty, Neeharika

    Thumbnail
    Share
    View fulltext online
    Neeharikaveerisetty_2013.pdf (1.203Mb)
    Date
    2013
    Citation:
    Veerisetty, N. (2013). Load balancing in a distributed network environment: An ant colony inspired approach (Unpublished document submitted in partial fulfilment of the requirements for the degree of Master of Computing). Unitec Institute of Technology, Auckland, New Zealand. Retrieved from https://hdl.handle.net/10652/2364
    Permanent link to Research Bank record:
    https://hdl.handle.net/10652/2364
    Abstract
    With the incidence of technology at each and every juncture of human life, there has been an accelerated growth in computational needs to satisfy the technological cravings. Computer networks have evolutionarily emerged and have evolved as life blood of today’s global communication challenges. To fulfil the dynamic needs of present day networks, distributed and parallel computing applications are gaining momentum rapidly. Distributed networks have apparently become a better choice favouring the processing of large scale intensive applications which was previously unimaginable. However, it is evident that the load on a network is always relative to the volume of the application being processed. Eventually if the load on the network is not fairly distributed among all the available processing elements, it might result in improper resource usage and degraded network performance. Efficient load balancing approaches are essential to achieve proportional distribution of load among the network nodes to preserve the overall system integrity. Therefore, the process of identifying an efficient method to achieve proportional distribution of load is of paramount importance. To achieve an affective balance in load, this thesis investigates into an already existing Ant Colony based prototype called Messor and establishes a new approach based on dynamic load table concept augmented with ant search using Artificial Neural Networks. The proposed approach is simulated on a software based model network and the results are presented. The performance of the approach is evaluated based on certain performance criteria.
    Keywords:
    distributed system, load balancing, workload, Messor, resource utilization, job response time, ant colony optimization, multi agent, meta-heuristic, dynamic load table, Artificial Neural Network (ANN), decision making, Messor
    ANZSRC Field of Research:
    080501 Distributed and Grid Systems
    Degree:
    Master of Computing
    Supervisors:
    Jayawardena, Chandimal; Pang, Paul
    Rights:
    This digital work is protected by copyright. It may be consulted by you, provided you comply with the provisions of the Act and the following conditions of use: Any use you make of these documents or images must be for research or private study purposes only, and you may not make them available to any other person. You will recognise the author's and publishers rights and give due acknowledgement where appropriate.
    Metadata
    Show detailed record
    This item appears in
    • Computing Dissertations and Theses [84]

    Library home
    Send Feedback
    Research publications
    Unitec
    Moodle
    © Unitec Institute of Technology, Private Bag 92025, Victoria Street West, Auckland 1142
     

     

    Usage

    Downloads, last 12 months
    52
     
     

    Usage Statistics

    For this itemFor the Research Bank

    Share

    About

    About Research BankResearch at UnitecContact us

    Help for authors  

    How to add researchOpen Access GuideVersions Toolkit

    Register for updates  

    LoginRegister

    Browse Research Bank  

    EverywhereAcademic study areasAuthorDateSubjectTitleType of researchSupervisorThis CollectionAuthorDateSubjectTitleType of researchSupervisor

    Library home
    Send Feedback
    Research publications
    Unitec
    Moodle
    © Unitec Institute of Technology, Private Bag 92025, Victoria Street West, Auckland 1142