Energy-aware task scheduling strategies with QoS constraint for green computing in cloud data centers
Author:
Affiliation:
1. Wuhan University of Technology, Wuhan, China
2. Hubei University of Automotive Technology, Wuhan, China
Funder
Natural Science Foundation of Hubei Province of China
National Natural Science Foundation of China
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3264746.3264792
Reference20 articles.
1. Rodrigo N. Calheiros Rajiv Ranjan Anton Beloglazov CÃl'sar A. F. De Rose and Rajkumar Buyya. 2011. CloudSim: a toolkit for modeling and simulation of cloud computing environments and evaluation of resource provisioning algorithms. Software Practice & Experience 41 1 (2011) 23âĂŞ50. 10.1002/spe.995 Rodrigo N. Calheiros Rajiv Ranjan Anton Beloglazov CÃl'sar A. F. De Rose and Rajkumar Buyya. 2011. CloudSim: a toolkit for modeling and simulation of cloud computing environments and evaluation of resource provisioning algorithms. Software Practice & Experience 41 1 (2011) 23âĂŞ50. 10.1002/spe.995
2. Dynamic Voltage Frequency Scaling Simulator for Real Workflows Energy-Aware Management in Green Cloud Computing
3. Hancong Duan Chao Chen Geyong Min and Yu Wu. 2016. Energy-aware scheduling of virtual machines in heterogeneous cloud computing systems. Future Generation Computer Systems (2016). Hancong Duan Chao Chen Geyong Min and Yu Wu. 2016. Energy-aware scheduling of virtual machines in heterogeneous cloud computing systems. Future Generation Computer Systems (2016).
4. Hybrid Task Scheduling Method for Cloud Computing by Genetic and DE Algorithms
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