A Renewable Energy-Based Task Consolidation Algorithm for Cloud Computing-Reference-Cited by-同舟云学术

A Renewable Energy-Based Task Consolidation Algorithm for Cloud Computing

Published:2020-11-27 Issue: Volume: Page:453-463
ISSN:1876-1100
Container-title:Control Applications in Modern Power System
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Author:

Nayak Sanjib Kumar,Panda Sanjaya Kumar,Das Satyabrata,Pande Sohan Kumar

Publisher

Springer Singapore

Link

http://link.springer.com/content/pdf/10.1007/978-981-15-8815-0_40

Reference14 articles.

1. Panda SK, Jana PK (2015) Efficient task scheduling algorithms for heterogeneous multi-cloud environment. J Supercomput 71(4):1505–1533

2. Panda SK, Jana PK (2018) Normalization-based task scheduling algorithms for heterogeneous multi-cloud environment. Inform Syst Front 20(2):373–399

3. Gartner. Gartner forecasts worldwide public cloud revenue to grow 17% in 2020. https://www.gartner.com/en/newsroom/press-releases/2019-11-13-gartner-forecasts-worldwide-public-cloud-revenue-to-grow-17-percent-in-2020. Accessed on 10, 2020

4. Toosi AN, Buyya R (2015) A fuzzy logic-based controller for cost and energy efficient load balancing in geo-distributed data centers. In: Proceedings of the 8th international conference on utility and cloud computing. IEEE Press, pp 186–194

5. Le K, Bianchini R, Zhang J, Jaluria Y, Meng J, Nguyen TD (2011) Reducing electricity cost through virtual machine placement in high performance computing clouds. In: Proceedings of 2011 international conference for high performance computing, networking, storage and analysis. ACM, p 22

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