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International Journal of Computers and Applications Volume 41, 2019 - Issue 3
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Articles

Efficient resource management techniques in cloud computing environment: a review and discussion

Frederic NzanywayingomaSchool of Computer and Communication Engineering, University of Science and Technology Beijing, Beijing, ChinaCorrespondence[email protected]
ORCID Iconhttp://orcid.org/0000-0001-5883-4946View further author information
ORCID Icon &
Yang YangSchool of Computer and Communication Engineering, University of Science and Technology Beijing, Beijing, ChinaView further author information
Pages 165-182 | Received 05 Jun 2017, Accepted 10 Dec 2017, Published online: 02 Jan 2018

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Navjeet Kaur, Ashok Kumar & Rajesh Kumar. (2022) PROMO: PROactive MObility-support model for task scheduling in fog computing. International Journal of Computers and Applications 44:11, pages 1092-1101.
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Rintu Nath & A. Nagaraju. (2022) Genetic algorithm based on-arrival task scheduling on distributed computing platform. International Journal of Computers and Applications 44:9, pages 887-896.
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Yassir Samadi, Mostapha Zbakh & Claude Tadonki. (2021) DT-MG: many-to-one matching game for tasks scheduling towards resources optimization in cloud computing. International Journal of Computers and Applications 43:3, pages 233-245.
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Wolali Ametepe, Changda Wang, Selasi Kwame Ocansey & XiaWei Li. (2019) Lightweight Intuitive Provenance (LiP) in a distributed computing environment. International Journal of Computers and Applications 41:6, pages 436-448.
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Articles from other publishers (14)

Bushra Abbas & Munam Ali Shah. (2023) An Empirical Study on Hybrid Scheduling Algorithms in Cloud Computing. An Empirical Study on Hybrid Scheduling Algorithms in Cloud Computing.
K. Kalai Arasan & P. Anandhakumar. (2023) Energy‐efficient task scheduling and resource management in a cloud environment using optimized hybrid technology. Software: Practice and Experience 53:7, pages 1572-1593.
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Lakshmi Sankaran, J S Saleema & Basem Suleiman. (2022) Analysis of Workloads for Cloud Services. Analysis of Workloads for Cloud Services.
Rama Rani & Ritu Garg. (2021) Reliability aware green workflow scheduling using ε-fuzzy dominance in cloud. Complex & Intelligent Systems 8:2, pages 1425-1443.
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Noah Oghenefego Ogwara, Krassie Petrova & Mee Loong Yang. (2022) Towards the Development of a Cloud Computing Intrusion Detection Framework Using an Ensemble Hybrid Feature Selection Approach. Journal of Computer Networks and Communications 2022, pages 1-16.
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Arash Heidari & Nima Jafari Navimipour. (2021) Service discovery mechanisms in cloud computing: a comprehensive and systematic literature review. Kybernetes 51:3, pages 952-981.
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Mueen Uddin, Anjum Khalique, Awais Khan Jumani, Syed Sajid Ullah & Saddam Hussain. (2021) Next-Generation Blockchain-Enabled Virtualized Cloud Security Solutions: Review and Open Challenges. Electronics 10:20, pages 2493.
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Puneet Banga & Sanjeev Rana. (2021) Performance Comparative Analysis of Heuristic based Independent Task Scheduling Techniques on Standard and Real Datasets. Performance Comparative Analysis of Heuristic based Independent Task Scheduling Techniques on Standard and Real Datasets.
Mufeed Ahmed Naji Saif, S. K. Niranjan & Hasib Daowd Esmail Al-ariki. (2021) Efficient autonomic and elastic resource management techniques in cloud environment: taxonomy and analysis. Wireless Networks 27:4, pages 2829-2866.
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Vijindra Rajendran & Prabakaran Mani. 2021. Proceedings of International Conference on Communication and Computational Technologies. Proceedings of International Conference on Communication and Computational Technologies 607 615 .
Iqura Khan, Alpana Meena, Prashant Richhariya & Bhupesh Kumar Dewangan. 2021. Autonomic Computing in Cloud Resource Management in Industry 4.0. Autonomic Computing in Cloud Resource Management in Industry 4.0 159 175 .
G. Sobers Smiles David, K. Ramkumar, P. Shanmugavadivu & P. S. Eliahim Jeevaraj. 2021. Autonomic Computing in Cloud Resource Management in Industry 4.0. Autonomic Computing in Cloud Resource Management in Industry 4.0 41 57 .
Gobalakrishnan Natesan & Arun Chokkalingam. (2019) Multi-Objective Task Scheduling Using Hybrid Whale Genetic Optimization Algorithm in Heterogeneous Computing Environment. Wireless Personal Communications 110:4, pages 1887-1913.
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Miki Saito, Kenta Komine, Aiko Nakato, Isshin Sasaki & Hisashi Hayashi. (2019) Evaluating P2P Human Resource Allocation Strategies Through Multi-Agent Simulation. Evaluating P2P Human Resource Allocation Strategies Through Multi-Agent Simulation.

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