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Articles

Providing a new approach to increase fault tolerance in cloud computing using fuzzy logic

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Pages 139-147 | Received 11 Sep 2019, Accepted 20 Dec 2019, Published online: 03 Jan 2020

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Chang Liu, Jin Wang, Liang Zhou & Amin Rezaeipanah. (2022) Solving the Multi-Objective Problem of IoT Service Placement in Fog Computing Using Cuckoo Search Algorithm. Neural Processing Letters 54:3, pages 1823-1854.
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An-Ning Zhang, Shu-Chuan Chu, Pei-Cheng Song, Hui Wang & Jeng-Shyang Pan. (2022) Task Scheduling in Cloud Computing Environment Using Advanced Phasmatodea Population Evolution Algorithms. Electronics 11:9, pages 1451.
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Manoj Kumar Malik, Ajit Singh & Abhishek Swaroop. (2022) A planned scheduling process of cloud computing by an effective job allocation and fault-tolerant mechanism. Journal of Ambient Intelligence and Humanized Computing 13:2, pages 1153-1171.
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Vahid Mohammadian, Nima Jafari Navimipour, Mehdi Hosseinzadeh & Aso Darwesh. (2022) Fault-Tolerant Load Balancing in Cloud Computing: A Systematic Literature Review. IEEE Access 10, pages 12714-12731.
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Priti Kumari & Parmeet Kaur. (2020) Checkpointing Algorithms for Fault-Tolerant Execution of Large-Scale Distributed Applications in Cloud. Wireless Personal Communications 117:3, pages 1853-1877.
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Murad B. Khorsheed, Qasim M. Zainel, Oday A. Hassen & Saad M. Darwish. (2020) The Application of Fractal Transform and Entropy for Improving Fault Tolerance and Load Balancing in Grid Computing Environments. Entropy 22:12, pages 1410.
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