Search Results - (( job application ((max algorithm) OR (bees algorithm)) ) OR ( web application a algorithm ))

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  1. 1
    Multi objective bee colony optimization framework for grid job scheduling

    Multi objective bee colony optimization framework for grid job scheduling by Alyaseri, Sana, Ku-Mahamud, Ku Ruhana

    Published 2013
    “…Grid computing is the infrastructure that involves a large number of resources like computers, networks and databases which are owned by many organizations.Job scheduling problem is one of the key issues because of high heterogeneous and dynamic nature of resources and applications in the grid computing environment.Bee colony approach has been used to solve this problem because it can be easily adapted to the grid scheduling environment.The bee algorithms have shown encouraging results in terms of time and co st.In this paper a framework for multi objective bee colony optimization is proposed to schedule batch jobs to available resources where the number of jobs is greater than the number of resources.Pareto analysis and k-means analysis are integrated in the bee colony optimization algorithm to facilitate the scheduling of jobs to resources.…”
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  2. 2
    Comparison Between the Bees Algorithm and Genetic Algorithm Model in Manpower Allocation on Cell Loading Problem

    Comparison Between the Bees Algorithm and Genetic Algorithm Model in Manpower Allocation on Cell Loading Problem by AlMahasneh, Hossam Sayel

    Published 2010
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  3. 3
    Bee foraging behaviour techniques for grid scheduling problem

    Bee foraging behaviour techniques for grid scheduling problem by Alyaseri, Sana, Ku-Mahamud, Ku Ruhana

    Published 2013
    “…Grid computing is the infrastructure that involves a large number of resources like computers, networks and databases which are owned by many organizations.These resources are collected together to make a huge computing power.Job scheduling problem is one of the key issues in grid computing and failing to look into grid scheduling results in uncompleted view of the grid computing.Achieving optimized performance of grid system, and matching application requirements with available computing resources, are the objectives of grid job scheduling.Bee colony approaches are more adaptive to grid scheduling due to high heterogeneous and dynamic nature of resources and applications in grid.These algorithms have shown encouraging results in terms of time and cost.This paper presents some resent research activities inspired by bee foraging behavior for grid job scheduling especially ABC and BCO approaches.Different original studies related to this area are briefly described along with their comparisons against them and results.The review summary of their derived algorithms and research efforts is done.…”
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  4. 4
    Ant colony algorithm for job scheduling in grid computing

    Ant colony algorithm for job scheduling in grid computing by Ku-Mahamud, Ku Ruhana, Abdul Nasir, Husna Jamal

    Published 2010
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  5. 5
    An adaptive QOS scheduling algorithm in service oriented grid and cloud environment / Ang Tan Fong

    An adaptive QOS scheduling algorithm in service oriented grid and cloud environment / Ang Tan Fong by Ang, Tan Fong

    Published 2011
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  6. 6
    An optimal tasks scheduling algorithm based on QoS in cloud computing network

    An optimal tasks scheduling algorithm based on QoS in cloud computing network by Alhakimi, Mohammed Ameen Mohammed Abdo

    Published 2017
    “…This study presents an optimal task scheduling algorithm by enhancing Max-Min and TS algorithm. Our proposed algorithm isolates the resources into two different groups where the first group contains the resources with maximum execution time while the second group contains the resources with minimum execution time. …”
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  7. 7
    Enhanced ant colony optimization for grid resource scheduling

    Enhanced ant colony optimization for grid resource scheduling by Abdul Nasir, Husna Jamal, Ku-Mahamud, Ku Ruhana

    Published 2010
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  8. 8
    Explaining recreationist responsible behaviour : a case of scuba diving / Ong Tah Fat

    Explaining recreationist responsible behaviour : a case of scuba diving / Ong Tah Fat by Ong, Tah Fat

    Published 2012
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  9. 9
    A new priority rule cloud scheduling technique that utilizes gaps to increase the efficiency of jobs distribution

    A new priority rule cloud scheduling technique that utilizes gaps to increase the efficiency of jobs distribution by Saydul Akbar, Murad

    Published 2023
    “…In this thesis, first a Priority-Based Fair Scheduling (PBFS) algorithm has been introduced to schedule jobs so that jobs get access to the required resources at optimal times. …”
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  10. 10
    Optimisation of energy efficient hybrid flowshop scheduling problem using firefly algorithm

    Optimisation of energy efficient hybrid flowshop scheduling problem using firefly algorithm by M. F. F., Ab Rashid, Mohd Abdul, Hadi Osman

    Published 2020
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  11. 11
    Text Extraction Algorithm for Web Text Classification

    Text Extraction Algorithm for Web Text Classification by Theab, Mustafa Muwafak

    Published 2010
    “…It is a windows application mixed with web connection protocol. …”
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  12. 12
    Hybrid ant colony optimization for grid computing

    Hybrid ant colony optimization for grid computing by Abdul Nasir, Husna Jamal, Ku-Mahamud, Ku Ruhana

    Published 2009
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  13. 13
    A new algorithm to measure relevance among Web pages

    A new algorithm to measure relevance among Web pages by Sadi, M.S., Rahman, M.M. Hafizur, Horiguchi, Susumu

    Published 2006
    “…This paper proposes a new algorithm to measure relevance among Web pages (RWP) using a hybrid method of hyperlink analysis and content analysis. …”
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  14. 14
    Web based applications for energy management system incorporated network reconfiguration using genetic algorithm / Wan Adnan Wan

    Web based applications for energy management system incorporated network reconfiguration using genetic algorithm / Wan Adnan Wan by Wan Chik, Wan Adnan

    Published 2006
    “…The Web Application System program is designed for the client to configure a system (e.g calculates a load flow). …”
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  15. 15
    A modified π rough k-means algorithm for web page recommendation system

    A modified π rough k-means algorithm for web page recommendation system by Zidane, Khaled Ali Othman

    Published 2018
    “…In order to tackle above problem, a modified algorithm for Web page recommendation is proposed. …”
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  16. 16
    Intelligent agent for e-commerce using genetic algorithm / Kok Sun Sun

    Intelligent agent for e-commerce using genetic algorithm / Kok Sun Sun by Kok , Sun Sun

    Published 2000
    “…In addition, the system is developed using the developing tools that are essential in web applications, namely. web server, database server, system server and web programming tools such as ASP and Visual Basic. …”
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  17. 17
    A web-based implementation of k-means algorithms

    A web-based implementation of k-means algorithms by Lee, Quan

    Published 2022
    “…Furthermore, the web application could save the users’ past work, so that they may resume their work at a later time without skipping a beat.…”
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  18. 18
    An exploration technique for the interacted multiple ant colonies optimization framework

    An exploration technique for the interacted multiple ant colonies optimization framework by Aljanaby, Alaa, Ku-Mahamud, Ku Ruhana, Md. Norwawi, Norita

    Published 2010
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  19. 19
    Expectation maximization clustering algorithm for user modeling in web usage mining system

    Expectation maximization clustering algorithm for user modeling in web usage mining system by Mustapha, Norwati, Jalali, Manijeh, Jalali, Mehrdad

    Published 2009
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  20. 20
    A technique of dispatching algorithms for web-server cluster

    A technique of dispatching algorithms for web-server cluster by Zarina Mohamad

    Published 2011
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