Multi-objective heuristics algorithm for dynamic resource scheduling in the cloud computing environment
Author:
Publisher
Springer Science and Business Media LLC
Subject
Hardware and Architecture,Information Systems,Theoretical Computer Science,Software
Link
https://link.springer.com/content/pdf/10.1007/s11227-020-03606-2.pdf
Reference41 articles.
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2. AKMMR Mazumder, KMA Uddin, N Arbe, L Jahan and M Whaiduzzaman, (2019) Dynamic task scheduling algorithms in cloud computing. In 2019 3rd International conference on Electronics, Communication and Aerospace Technology (ICECA), Coimbatore, India, pp. 1280-1286. https://doi.org/10.1109/ICECA.2019.8822020
3. https://www.colocationamerica.com/data-center/top-reasons-to-outsource-an-in-house-data center.htm
4. Tsai JT, Fang JC, Chou JH (2013) Optimized task scheduling and resource allocation on cloud computing environment using improved differential evolution algorithm. Comput Oper Res 40(12):3045–3055
5. Dabbagh M, Hamdaoui B, Guizani M, Rayes A (2015) Energy-efficient resource allocation and provisioning framework for cloud data centers. IEEE Trans Netw Serv Manage 12(3):377–391
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