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survey

Cloud Computing Resource Scheduling and a Survey of Its Evolutionary Approaches

Authors:

Henry Shu-Hung Chung,

Yun LiAuthors Info & Claims

ACM Computing Surveys (CSUR), Volume 47, Issue 4

Article No.: 63, Pages 1 - 33

https://doi.org/10.1145/2788397

Published: 21 July 2015 Publication History

Abstract

A disruptive technology fundamentally transforming the way that computing services are delivered, cloud computing offers information and communication technology users a new dimension of convenience of resources, as services via the Internet. Because cloud provides a finite pool of virtualized on-demand resources, optimally scheduling them has become an essential and rewarding topic, where a trend of using Evolutionary Computation (EC) algorithms is emerging rapidly. Through analyzing the cloud computing architecture, this survey first presents taxonomy at two levels of scheduling cloud resources. It then paints a landscape of the scheduling problem and solutions. According to the taxonomy, a comprehensive survey of state-of-the-art approaches is presented systematically. Looking forward, challenges and potential future research directions are investigated and invited, including real-time scheduling, adaptive dynamic scheduling, large-scale scheduling, multiobjective scheduling, and distributed and parallel scheduling. At the dawn of Industry 4.0, cloud computing scheduling for cyber-physical integration with the presence of big data is also discussed. Research in this area is only in its infancy, but with the rapid fusion of information and data technology, more exciting and agenda-setting topics are likely to emerge on the horizon.

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Published In

cover image ACM Computing Surveys

ACM Computing Surveys Volume 47, Issue 4

July 2015

573 pages

ISSN:0360-0300

EISSN:1557-7341

DOI:10.1145/2775083

Editor:
Sartaj Sahni
Department of Computer and Information Science and Engineering/University of Florida/Gainesville, FL

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Copyright © 2015 ACM.

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Publication History

Published: 21 July 2015

Accepted: 01 May 2015

Revised: 01 March 2015

Received: 01 July 2014

Published in CSUR Volume 47, Issue 4

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the NSFC for Distinguished Young Scholars
the NSFC Key Program
the National Natural Science Foundations of China (NSFC)
the Natural Science Foundations of Guangdong Province for Distinguished Young Scholars
the Project for Pearl River New Star in Science and Technology
the Fundamental Research Funds for the Central Universities
the National High-Technology Research and Development Program (863 Program) of China

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