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Resource Provisioning and Scheduling of Big Data Processing Jobs

Resource Provisioning and Scheduling of Big Data Processing Jobs

Rajni Aron, Deepak Kumar Aggarwal
Copyright: © 2018 |Pages: 20
ISBN13: 9781522531425|ISBN10: 1522531424|EISBN13: 9781522531432
DOI: 10.4018/978-1-5225-3142-5.ch014
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MLA

Aron, Rajni, and Deepak Kumar Aggarwal. "Resource Provisioning and Scheduling of Big Data Processing Jobs." Handbook of Research on Big Data Storage and Visualization Techniques, edited by Richard S. Segall and Jeffrey S. Cook, IGI Global, 2018, pp. 382-401. https://doi.org/10.4018/978-1-5225-3142-5.ch014

APA

Aron, R. & Aggarwal, D. K. (2018). Resource Provisioning and Scheduling of Big Data Processing Jobs. In R. Segall & J. Cook (Eds.), Handbook of Research on Big Data Storage and Visualization Techniques (pp. 382-401). IGI Global. https://doi.org/10.4018/978-1-5225-3142-5.ch014

Chicago

Aron, Rajni, and Deepak Kumar Aggarwal. "Resource Provisioning and Scheduling of Big Data Processing Jobs." In Handbook of Research on Big Data Storage and Visualization Techniques, edited by Richard S. Segall and Jeffrey S. Cook, 382-401. Hershey, PA: IGI Global, 2018. https://doi.org/10.4018/978-1-5225-3142-5.ch014

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Abstract

Cloud Computing has become a buzzword in the IT industry. Cloud Computing which provides inexpensive computing resources on the pay-as-you-go basis is promptly gaining momentum as a substitute for traditional Information Technology (IT) based organizations. Therefore, the increased utilization of Clouds makes an execution of Big Data processing jobs a vital research area. As more and more users have started to store/process their real-time data in Cloud environments, Resource Provisioning and Scheduling of Big Data processing jobs becomes a key element of consideration for efficient execution of Big Data applications. This chapter discusses the fundamental concepts supporting Cloud Computing & Big Data terms and the relationship between them. This chapter will help researchers find the important characteristics of Cloud Resource Management Systems to handle Big Data processing jobs and will also help to select the most suitable technique for processing Big Data jobs in Cloud Computing environment.

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