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  1. 1
    Ant colony optimization algorithm for load balancing in grid computing

    Ant colony optimization algorithm for load balancing in grid computing by Ku-Mahamud, Ku Ruhana, Mohamed Din, Aniza

    Published 2012
    “…This research proposes an enhancement of the ant colony optimization algorithm that caters for dynamic scheduling and load balancing in the grid computing system. …”
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  2. 2
    Enhancement of Ant Colony Optimization for Grid Job Scheduling and Load Balancing

    Enhancement of Ant Colony Optimization for Grid Job Scheduling and Load Balancing by Husna, Jamal Abdul Nasir

    Published 2011
    “…This research proposes an Enhanced Ant Colony Optimization (EACO) algorithm that caters dynamic scheduling and load balancing in the grid computing system. …”
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  3. 3
    Green scheduling algorithm for a computational grid environment

    Green scheduling algorithm for a computational grid environment by Haruna, A.A., Jung, L.T., Zakaria, M.N., Haron, N.S.

    Published 2016
    “…The experimental results significantly showed that the proposed green scheduling algorithm was able to save the consumption of cooling load by 22.02 in DC's server room. …”
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  4. 4
    The current practices of green computing approaches in Malaysia

    The current practices of green computing approaches in Malaysia by Ahmaro I.Y.Y., Bin Mohd Yusoff M.Z., Abualkishik A.M.

    Published 2023
    “…Internet; Internet telephony; Telecommuting; Voice/data communication systems; Algorithmic efficiencies; Current practices; Green computing; IT industry; Malaysia; Malaysian IT industry; Online surveys; Voice over Internet protocol; Internet protocols…”
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  5. 5
    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
    “…Data centers can go green by saving electricity in two major areas: computing and cooling. …”
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  6. 6
    A power saver scheduling algorithm using DVFS and DNS techniques in cloud computing data centres

    A power saver scheduling algorithm using DVFS and DNS techniques in cloud computing data centres by Atiewi S., Yussof S., Rusli M.E.B., Zalloum M.

    Published 2023
    “…Cloud computing; Costs; Dynamic frequency scaling; Electric power utilization; Energy efficiency; Energy utilization; Infrastructure as a service (IaaS); Network security; Quality of service; User interfaces; Virtual machine; Voltage scaling; Cloud computing environments; Data centres; DVFS; Dynamic voltage frequency scaling; Energy-Efficient Scheduling; Low energy consumption; Reduce energy consumption; Task-scheduling algorithms; Green computing…”
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  7. 7
    A comparative analysis of task scheduling algorithms of virtual machines in cloud environment

    A comparative analysis of task scheduling algorithms of virtual machines in cloud environment by Atiewi S., Yussof S., Ezanee M.

    Published 2023
    “…In this study, an experimental comparative study is carried out among three task scheduling algorithms in cloud computing, namely, random resource selection, round robin and green scheduler. …”
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  8. 8
    Resource management in grid computing using ant colony optimization

    Resource management in grid computing using ant colony optimization by Ku-Mahamud, Ku Ruhana, Mohamed Din, Aniza

    Published 2011
    “…Resources with high pheromone value are selected to process the submitted jobs.Global pheromone update is performed after completion processing the jobs in order to reduce the pheromone value of resources.A simulation environment was developed using Java programming to test the performance of the proposed EACO algorithm against other ant based algorithm, in terms of resource utilization.Experimental results show that EACO produced better grid resource management solution.…”
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  9. 9
    Empowering cloud providers: optimised locust-inspired algorithm for SLA violation mitigation in green cloud computing

    Empowering cloud providers: optimised locust-inspired algorithm for SLA violation mitigation in green cloud computing by Alsaaidah, Yousef A., Muhammed, Abdullah, Ala’anzy, Mohammed Alaa, Othman, Mohamed, Abdullah, Azizol

    Published 2025
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  10. 10
    Implementation of locust inspired scheduling algorithm with huge number of servers for energy efficiency in a cloud datacenter

    Implementation of locust inspired scheduling algorithm with huge number of servers for energy efficiency in a cloud datacenter by Azhar, Nur Huwaina

    Published 2019
    “…Cloudsim is used as Discrete Event Simulation tool and Java as coding language to evaluate LACE algorithm. …”
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  11. 11
    Software reusability in green computing / Ibraheem Y. Y. Ahmaro

    Software reusability in green computing / Ibraheem Y. Y. Ahmaro by Y. Y. Ahmaro, Ibraheem

    Published 2013
    “…Although most green computing initiatives have concentrated on innovating hardware, little attention has been paid to the software aspect and how it can enhance green computing. …”
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  12. 12
    A Theoretical Framework for Big Data Analytics Based on Computational Intelligent Algorithms with the Potential to Reduce Energy Consumption

    A Theoretical Framework for Big Data Analytics Based on Computational Intelligent Algorithms with the Potential to Reduce Energy Consumption by Chiroma, H., Abdullahi, U.A., Hashem, I.A.T., Saadi, Y., Al-Dabbagh, R.D., Ahmad, M.M., Dada, G.E., Danjuma, S., Maitama, J.Z., Abubakar, A., Abdulhamid, S.�M.

    Published 2019
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  13. 13
    INCENTIVE-SCHEDULING ALGORITHMS TO PROVIDE GREEN COMPUTATIONAL DATA CENTER

    INCENTIVE-SCHEDULING ALGORITHMS TO PROVIDE GREEN COMPUTATIONAL DATA CENTER by HARUNA, AHMED ABBA

    Published 2017
    “…The increased of computational loads in grid servers are dissipating more heat and eventually amplifies the cooling demand in Data Center (DC), and at the same time lead to more submitted jobs missing their job completion deadlines. …”
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  14. 14
    Data driven hybrid evolutionary analytical approach for multi objective location allocation decisions: Automotive green supply chain empirical evidence

    Data driven hybrid evolutionary analytical approach for multi objective location allocation decisions: Automotive green supply chain empirical evidence by Doolun, Ian Shivraj, Ponnambalam, S. G., Subramanian, Nachiappan, Kanagaraj, G.

    Published 2018
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  15. 15
    Analysis and modeling of database storage optimization power consumption usage for green data centers

    Analysis and modeling of database storage optimization power consumption usage for green data centers by Wan Noor Hamiza, Wan Ali

    Published 2014
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  16. 16
    A theoretical framework for big data analytics based on computational intelligent algorithms with the potential to reduce energy consumption

    A theoretical framework for big data analytics based on computational intelligent algorithms with the potential to reduce energy consumption by Haruna, Chiroma, Abdullahi, Usman Ali, Targio Hashem, Ibrahim Abaker, Saadi, Younes, Al-Dabbagh, Rawaa Dawoud, Ahmad, Muhammad Murtala, Emmanuel Dada, Gbenga, Danjuma, Sani, Maitama, Jaafar Zubairu, Abubakar, Adamu, Abdulhamid, Shafi’i Muhammad

    Published 2019
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  17. 17
    Proposed system for data security in distributed computing in using triple data encryption standard and Rivest Shamir Adlemen

    Proposed system for data security in distributed computing in using triple data encryption standard and Rivest Shamir Adlemen by Shawkat S.A., Tuama B.A., Al-Barazanchi I.

    Published 2023
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  18. 18
    A collaborative agent based green IS practice assessment tool for environmental sustainability attainment in enterprise data centers

    A collaborative agent based green IS practice assessment tool for environmental sustainability attainment in enterprise data centers by Anthony, Bokolo Jnr., Mazlina, Abdul Majid, Awanis, Romli

    Published 2018
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  19. 19
    Statistical approach toward achieving green cloud computing in virtualized single server environment / Mohd Badrulhisham Ismail

    Statistical approach toward achieving green cloud computing in virtualized single server environment / Mohd Badrulhisham Ismail by Ismail, Mohd Badrulhisham

    Published 2020
    “…In addition to that, load balancing optimisation was proven to be able to achieve green cloud computing with low power consumption where the best load balancing is MU/LRR. …”
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  20. 20
    A Theoretical Framework for Big Data Analytics Based on Computational Intelligent Algorithms with the Potential to Reduce Energy Consumption

    A Theoretical Framework for Big Data Analytics Based on Computational Intelligent Algorithms with the Potential to Reduce Energy Consumption by Chiroma, H., Abdullahi, U.A., Hashem, I.A.T., Saadi, Y., Al-Dabbagh, R.D., Ahmad, M.M., Dada, G.E., Danjuma, S., Maitama, J.Z., Abubakar, A., Abdulhamid, S.�M.

    Published 2019
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