Intelligent Workload Scheduling in Distributed Computing Environment for Balance between Energy Efficiency and Performance

Author:

Globa Larysa,Stryzhak Oleksandr,Gvozdetska Nataliia,Prokopets Volodymyr

Publisher

IntechOpen

Reference18 articles.

1. Gartner. Gartner Top 10 Strategic Technology Trends for 2019 [Internet]. 2018. Available from: https://www.gartner.com/smarterwithgartner/gartner-top-10-strategic-technology-trends-for-2019/

2. Andrae A, Edler T. On global electricity usage of communication technology: Trends to 2030. Challenges. 2015;6:117-157. DOI: 10.3390/challe6010117

3. Beloglazov A. Energy-efficient management of virtual machines in data centers for cloud computing [thesis]. Department of Computing and Information Systems, The University of Melbourne; 2013

4. Suleiman D, Ibrahim M, Hamarash I. Dynamic voltage frequency scaling (DVFS) for microprocessors power and energy reduction. In: Proceedings of the 4th International Conference on Electrical and Electronics Engineering. 2005

5. Akram S, Sartor J, Eeckhout L. DVFS performance prediction for managed multithreaded applications. In: Proceedings of the IEEE International Symposium on Performance Analysis of Systems and Software-ISPASS. 2016. pp. 12-23

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