Energy Efficient and Reliability Aware Workflow Task Scheduling in Cloud Environment
Author:
Publisher
Springer Science and Business Media LLC
Subject
Electrical and Electronic Engineering,Computer Science Applications
Link
http://link.springer.com/content/pdf/10.1007/s11277-021-08263-z.pdf
Reference42 articles.
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3. Arroba, P., Moya, J. M., Ayala, J. L., & Buyya, R. (2017). Dynamic voltage and frequency scaling-aware dynamic consolidation of virtual machines for energy efficient cloud data centers. Concurrency and Computation: Practice and Experience, 29(10), e4067.
4. You, X., Li, Y., Zheng, M., Zhu, C., & Lifeng, Yu. (2017). A survey and taxonomy of energy efficiency relevant surveys in cloud-related environments. IEEE Access, 5, 14066–14078.
5. Rodriguez, M. A., & Buyya, R. (2017). A taxonomy and survey on scheduling algorithms for scientific workflows in IAAS cloud computing environments. Concurrency and Computation: Practice and Experience, 29(8), e4041.
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