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  1. 1
    Performance-aware cost-effective brokering and load balancing algorithms for data center in large scale cloud computing

    Performance-aware cost-effective brokering and load balancing algorithms for data center in large scale cloud computing by Naha, Ranesh Kumar

    Published 2015
    “…Proposed Cost Aware algorithm minimizes approximately 5.5% cost compared with closest data center algorithm. …”
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  2. 2
    Optimizing Cloud Storage Costs: Introducing the Pre-Evaluation-Based Cost Optimization (PECSCO) Mechanism

    Optimizing Cloud Storage Costs: Introducing the Pre-Evaluation-Based Cost Optimization (PECSCO) Mechanism by Alomari M.F., Mahmoud M.A., Gharaei N., Rasool S.M., Hasan R.A.

    Published 2025
    “…Nonetheless, cloud service providers impose fees on users based on the volume of data transmitted to and from cloud storage, resulting in elevated storage costs. …”
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  3. 3
    Multi-objective scientific workflow scheduling algorithm in multi-cloud environment for satisfying QoS requirements

    Multi-objective scientific workflow scheduling algorithm in multi-cloud environment for satisfying QoS requirements by Ramadhan, Mazen Farid Ebrahim

    Published 2022
    “…All the proposed algorithms are simulated using the popular cloud simulator, Workflowsim 1.0. …”
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  4. 4
    Modified workflow scheduling using hybrid PSO-GA algorithm in cloud computing

    Modified workflow scheduling using hybrid PSO-GA algorithm in cloud computing by Oke, Omotayo Patrick

    Published 2019
    “…The goal of the Hybrid GA-PSO algorithm is to reduce the makespan and cost and balance the load of dependent tasks in cloud computing environments over the heterogonous resources. …”
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  5. 5
    A hyper-heuristic cost optimisation approach for Scientific Workflow Scheduling in cloud computing

    A hyper-heuristic cost optimisation approach for Scientific Workflow Scheduling in cloud computing by Alkhanak, Ehab Nabiel, Lee, Sai Peck

    Published 2018
    “…Cost optimisation of SWFS benefits cloud service consumers and providers by reducing temporal and monetary costs in processing SWFAs. …”
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  6. 6
    Quantum Particle Swarm Optimization Technique for Load Balancing in Cloud Computing

    Quantum Particle Swarm Optimization Technique for Load Balancing in Cloud Computing by Elrasheed Ismail, Sultan

    Published 2013
    “…Performance of the QPSO technique based on many heuristic algorithms it is comprised the following steps. …”
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  7. 7
    Cost effective Expa-Max-Min scientific workflow allocation and load balancing strategy in cloud computing

    Cost effective Expa-Max-Min scientific workflow allocation and load balancing strategy in cloud computing by Konjaang, James Kok, Ayob, Fahrul Hakim, Muhammed, Abdullah

    Published 2018
    “…The rise in demand for cloud resources (network, hardware and software) requires cost effective scientific workflow scheduling algorithm to reduce cost and balance load of all jobs evenly for a better system throughput. …”
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  8. 8
    Enhanced Cloud Service Broker Selection Policy Based On Differential Evolution Algorithm

    Enhanced Cloud Service Broker Selection Policy Based On Differential Evolution Algorithm by Sanjalawe, Yousef Khader Khattar

    Published 2020
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  9. 9
    Hybrid Cat Swarm Optimization and Simulated Annealing for Dynamic Task Scheduling on Cloud Computing Environment

    Hybrid Cat Swarm Optimization and Simulated Annealing for Dynamic Task Scheduling on Cloud Computing Environment by Gabi, Danlami, Ismail, Abdul Samad, Zainal, Anazida, Zakaria, Zalmiyah, Al-Khasawneh, Ahmad

    Published 2018
    “…In this study, a Cloud Scalable Multi-Objective Cat Swarm Optimization-based Simulated Annealing algorithm is proposed. …”
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  10. 10
    Data Encryption-Enabled Cloud Cost Optimization and Energy Efficiency-Based Border Security Model

    Data Encryption-Enabled Cloud Cost Optimization and Energy Efficiency-Based Border Security Model by Alomari M.F., Mahmoud M.A., Yusoff Y.B., Gharaei N., Abdalla R.A., Gunasekaran S.S.

    Published 2024
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  11. 11
    Simulated annealing approach to cost-based multi- quality of service job scheduling in cloud computing enviroment

    Simulated annealing approach to cost-based multi- quality of service job scheduling in cloud computing enviroment by Abdullah, Monir, Othman, Mohamed

    Published 2014
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  12. 12
    Scheduling scientific workflow using multiobjective algorithm with fuzzy resource utilization in multi-cloud environment

    Scheduling scientific workflow using multiobjective algorithm with fuzzy resource utilization in multi-cloud environment by Farid, Mazen, Latip, Rohaya, Hussin, Masnida, Abdul Hamid, Nor Asilah Wati

    Published 2020
    “…The algorithm minimizes cost and makespan while considering reliability constraint. …”
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  13. 13
    Completion time driven hyper-heuristic approach for optimisation of scientific workflow scheduling in cloud environment / Ehab Nabiel Mohammad

    Completion time driven hyper-heuristic approach for optimisation of scientific workflow scheduling in cloud environment / Ehab Nabiel Mohammad by Ehab Nabiel , Mohammad

    Published 2018
    “…The third and last stage (i.e. evaluation and analysis stage) aims at evaluating the proposed approach by considering two different experimental cloud environments: simulation-based environment and real-world based environment. …”
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  14. 14
    Evaluation of cloud brokering algorithms in cloud based data center

    Evaluation of cloud brokering algorithms in cloud based data center by Naha, Ranesh Kumar, Othman, Mohamed, Akhter, Nasrin

    Published 2015
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  15. 15
    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
    “…The first part involves a review of prior locustinspired algorithms, while the second part concerns the adaptation of the algorithm to the cloud computing paradigm. …”
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  16. 16
    Efficient multi-cloud storage using online dynamic replication and placement algorithms for online social networks

    Efficient multi-cloud storage using online dynamic replication and placement algorithms for online social networks by Aldailamy, Ali Y., Muhammed, Abdullah, Abdul Hamid, Nor Asilah Wati, Latip, Rohaya, Ismail, Waidah

    Published 2024
    “…The DTS algorithm establishes the replication and placement of objects using deterministic time slots, while the RTS algorithm is based on randomized time slots. …”
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  17. 17
    Energy efficient virtual machine provisioning in cloud data centers

    Energy efficient virtual machine provisioning in cloud data centers by Akhter, Nasrin, Othman, Mohamed

    Published 2014
    “…We propose a heuristic based resource allocation policy for cloud based data centers in order to reduce operational costs. …”
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  18. 18
    Online Dynamic Replication and Placement Algorithms for Cost Optimization of Online Social Networks in Two-tier Multi-cloud

    Online Dynamic Replication and Placement Algorithms for Cost Optimization of Online Social Networks in Two-tier Multi-cloud by Ali Y. Aldailamy, Abdullah Muhammed, Rohaya Latip, Nor Asilah Wati Abdul Hamid, Waidah Ismail

    Published 2024
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  19. 19
    A krill herd behaviour inspired load balancing of tasks in cloud computing

    A krill herd behaviour inspired load balancing of tasks in cloud computing by Hasan, Raed Abdulkareem, Mohammed, Muamer N.

    Published 2017
    “…This paper sets forth an advanced load balancing and energy/cost aware technique for a demand-based network resource allocation in cloud computing. …”
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  20. 20
    Modeling approach of cloud 4D printing service composition optimization based on non-dominated sorting genetic algorithm III

    Modeling approach of cloud 4D printing service composition optimization based on non-dominated sorting genetic algorithm III by Liu, Jiajia, Zainudin, Edi Syams, As'arry, Azizan, Ismail, Mohd Idris Shah

    Published 2024
    “…The study concludes that the NSGA III algorithm exhibits significant potential in optimizing the orchestration of cloud-based 4D printing service portfolios, underscoring its effectiveness in managing the complexities associated with these services. …”
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