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Resources Allocation for Distributed Systems: A Review

Author

Listed:
  • Kurdistan Wns HamaAli

    (Information System Engineering Dept., Erbil polytechnic University, KRG-Iraq.)

  • Subhi R. M. Zeebaree

    (Duhok Polytechnic University, KRG-Iraq)

Abstract

Resource allocation in a distributed system is the process of allocating the workload across multiple resources to optimize the required performance criteria. Different techniques are used to manage resource allocation in such distributed systems. The resource allocation for distributed systems such as cloud computing, cellular network, Software-Defined Networking (SDN), Radar Imaging and 5G Networks are used. In this paper many resource allocation algorithms in different environment and area that mentioned before are reviewed, compared and summarized. for instance, Cloud-based computation algorithm implementations in cloud computing, Direction Method of Multipliers (ADMM) algorithm for SDN Networking, FFR algorithm application in cellular network, Fairness-based Distributed Resource Allocation (FDRA) algorithm for 5G networks, then each the results in each area are discussed in critique point of view.

Suggested Citation

  • Kurdistan Wns HamaAli & Subhi R. M. Zeebaree, 2021. "Resources Allocation for Distributed Systems: A Review," International Journal of Science and Business, IJSAB International, vol. 5(2), pages 76-88.
    • Handle: RePEc:aif:journl:v:5:y:2021:i:2:p:76-88
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    References listed on IDEAS

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    1. Rezgar Hasan Saeed & Hivi Ismat Dino & Lailan M. Haji & Daroon Mudhafer Hamed & Hanan M. Shukur & Omid H. Jader, 2021. "Impact of IoT Frameworks on Healthcare and Medical Systems Performance," International Journal of Science and Business, IJSAB International, vol. 5(1), pages 115-126.
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    Citations

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    Cited by:

    1. Baydaa Hassan Husain & Subhi R. M. Zeebaree, 2021. "Improvised Distributions framework of Hadoop: A review," International Journal of Science and Business, IJSAB International, vol. 5(2), pages 31-41.
    2. Xupeng Wei & Achilleas Anastasopoulos, 2021. "Mechanism Design for Demand Management in Energy Communities," Games, MDPI, vol. 12(3), pages 1-34, July.
    3. Ibrahim Shamal Abdulkhaleq & Subhi R. M. Zeebaree, 2021. "State of Art for Distributed Databases: Faster Data Access, processing, Growth Facilitation and Improved Communications," International Journal of Science and Business, IJSAB International, vol. 5(3), pages 126-136.
    4. Kosrat Dlshad Ahmed & Subhi R. M. Zeebaree, 2021. "Resource Allocation in Fog Computing: A Review," International Journal of Science and Business, IJSAB International, vol. 5(2), pages 54-63.
    5. Zhwan M. Khalid & Subhi R.M Zeebaree, 2021. "Big Data Analysis for Data Visualization: A Review," International Journal of Science and Business, IJSAB International, vol. 5(2), pages 64-75.
    6. Glena Aziz Qadir & Subhi R. M Zeebaree, 2021. "Evaluation of QoS in Distributed Systems: A Review," International Journal of Science and Business, IJSAB International, vol. 5(2), pages 89-101.
    7. Mohammed J. Sadeeq & Subhi R. M. Zeebaree, 2021. "Semantic Search Engine Optimisation (SSEO) for Dynamic Websites: A Review," International Journal of Science and Business, IJSAB International, vol. 5(3), pages 148-158.
    8. Chnar Mustafa Mohammed & Subhi R.M Zeebaree, 2021. "Sufficient Comparison Among Cloud Computing Services: IaaS, PaaS, and SaaS: A Review," International Journal of Science and Business, IJSAB International, vol. 5(2), pages 17-30.
    9. Zhala Jameel Hamad & Subhi R. M. Zeebaree, 2021. "Recourses Utilization in a Distributed System: A Review," International Journal of Science and Business, IJSAB International, vol. 5(2), pages 42-53.
    10. Rezgar Hasan Saeed & Hivi Ismat Dino & Lailan M. Haji & Daroon Mudhafer Hamed & Hanan M. Shukur & Omid H. Jader, 2021. "Impact of IoT Frameworks on Healthcare and Medical Systems Performance," International Journal of Science and Business, IJSAB International, vol. 5(1), pages 115-126.

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