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  1. 1
    Intelligent cooperative web caching policies for media objects based on decision tree supervised machine learning algorithm

    Intelligent cooperative web caching policies for media objects based on decision tree supervised machine learning algorithm by Ibrahim, Hamidah, Yasin, Waheed, Abdul Hamid, Nor Asilah Wati, Udzir, Nur Izura

    Published 2014
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  2. 2
    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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  3. 3
    A coalition model for efficient indexing in wireless sensor network with random mobility / Hazem Jihad Ali Badarneh

    A coalition model for efficient indexing in wireless sensor network with random mobility / Hazem Jihad Ali Badarneh by Hazem Jihad , Ali Badarneh

    Published 2021
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  4. 4
    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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  5. 5
    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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  6. 6
    Intelligent cooperative web caching policies for media objects based on J48 decision tree and Naive bayes supervised machine learning algorithms in structured peer-to-peer systems

    Intelligent cooperative web caching policies for media objects based on J48 decision tree and Naive bayes supervised machine learning algorithms in structured peer-to-peer systems by Ibrahim, Hamidah, Yasin, Waheed, Udzir, Nur Izura, Abdul Hamid, Nor Asilah Wati

    Published 2016
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  7. 7
    Development of a Reliable Multicast Protocol in Mobile Ad Hoc Networks

    Development of a Reliable Multicast Protocol in Mobile Ad Hoc Networks by Alahdal, Tariq A. A.

    Published 2008
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  8. 8
    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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  9. 9
    Enhancing Market-Based Scheduling Algorithm on Globally Distributed Web Servers Using Least Suitable Sealed Bid Technique

    Enhancing Market-Based Scheduling Algorithm on Globally Distributed Web Servers Using Least Suitable Sealed Bid Technique by Al-Ewiwi, Mahmoud

    Published 2006
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  10. 10
    Secure Access To Authorized Resources Based On Fingerprint Authentication

    Secure Access To Authorized Resources Based On Fingerprint Authentication by Elmadani, Ahmed Baba

    Published 2003
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  11. 11
    Load Balancing Using The Consensus Control Algorithm For A Network Server System

    Load Balancing Using The Consensus Control Algorithm For A Network Server System by Loon, Alan Tan Chin

    Published 2016
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  12. 12
    Study and Implementation of Data Mining in Urban Gardening

    Study and Implementation of Data Mining in Urban Gardening by Mohana, Muniandy, Lee, Eu Vern

    Published 2019
    “…Using the J48 tree algorithm implemented through WEKA API on a Java Servlet, data provided is processed to derive a health index of the plant, with the possible outcomes set to “Good,” “Okay”, or “Bad”. …”
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  13. 13
    Locust- inspired meta-heuristic algorithm for optimising cloud computing performance

    Locust- inspired meta-heuristic algorithm for optimising cloud computing performance by Fadhil, Mohammed Alaa

    Published 2023
    “…This algorithm can also be used for task scheduling. The proposed algorithm efficiently maps and achieves the objective function for server consolidation, optimising energy consumption, VM migrations, and server utilisation. …”
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  14. 14
    Adaptive System State Based Load Balancing For Web Application Server Cluster Of Heterogeneous Performance Nodes

    Adaptive System State Based Load Balancing For Web Application Server Cluster Of Heterogeneous Performance Nodes by Lu, Chin Mei

    Published 2013
    “…This research is to propose a new efficient DNS-based load balancing algorithms that can solve a sudden increase of demand for service requests when they are applied to a local Domain Name Service (DNS) server for Web based applications and selected services. …”
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  15. 15
    Efficient DNS based Load Balancing for Bursty Web Application Traffic

    Efficient DNS based Load Balancing for Bursty Web Application Traffic by Chin, Mei Lu, Chong, Eng Tan, Mohamad Imran, Bin Bandan

    Published 2012
    “…This research proposes a new efficient load balancing algorithm which applies to the local Domain Name Service (DNS) server for web based applications and services to ease the sudden increase in demand for the services. …”
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  16. 16
    Thermal-aware scheduling in green data centers / Muhammad Tayyab Chaudhry

    Thermal-aware scheduling in green data centers / Muhammad Tayyab Chaudhry by Chaudhry, Muhammad Tayyab

    Published 2015
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  17. 17
    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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  18. 18
    Data pre-processing on web server logs for generalized association rules mining algorithm

    Data pre-processing on web server logs for generalized association rules mining algorithm by Abd Wahab, Mohd Helmy, Mohd, Mohd Norzali, Hanafi, Hafizul Fahri, Mohamad Mohsin, Mohamad Farhan

    Published 2008
    “…Since the pre-processing is tedious process, it depending on the algorithm and purposes of the applications.…”
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  19. 19
    Load balancing and server consolidation in cloud computing environments: a meta-study

    Load balancing and server consolidation in cloud computing environments: a meta-study by Fadhil, Mohammed Alaa, Othman, Mohamed

    Published 2019
    “…Therefore, this paper surveys published load balancing algorithms that achieved by server consolidation via a meta-analysis. …”
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  20. 20
    Managing Heterogeneous Database Replication Using Persistence Layer Synchronous Replication (PLSR)

    Managing Heterogeneous Database Replication Using Persistence Layer Synchronous Replication (PLSR) by Noraziah, Ahmad, Abdalla, Ahmed N., Beg, Abul Hashem

    Published 2013
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