Dynamic resource allocation with optimized task scheduling and improved power management in cloud computing
Author:
Publisher
Springer Science and Business Media LLC
Subject
General Computer Science
Link
https://link.springer.com/content/pdf/10.1007/s12652-020-01794-6.pdf
Reference25 articles.
1. AlShahwan F, Faisal M, Ansa G (2016) Security framework for RESTful mobile cloud computing Web services. J Ambient Intell Hum Comput 7(5):649–659
2. Chou LD, Chen HF, Tseng FH, Chang HC, Chang YJ (2016) DPRA: dynamic power-saving resource allocation for cloud data center using particle swarm optimization. IEEE Syst J 12(2):1554–1565
3. Dabbagh M, Hamdaoui B, Guizani M, Rayes A (2015) Energy-efficient resource allocation and provisioning framework for cloud data centers. IEEE Trans Netw Serv Manag 12(3):377–391
4. Dai W, Qiu L, Wu A, Qiu M (2016) Cloud infrastructure resource allocation for big data applications. IEEE Trans Big Data 4(3):313–324
5. Du J, Zhao L, Feng J, Chu X (2018) Computation offloading and resource allocation in mixed fog/cloud computing systems with min-max fairness guarantee. IEEE Trans Commun 66(4):1594–1608
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