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Resource Scheduling for Big Data on Cloud: Scheduling Resources

Resource Scheduling for Big Data on Cloud: Scheduling Resources

K. Indira Suthakar, M. K. Kavitha Devi
Copyright: © 2016 |Pages: 21
ISBN13: 9781466697676|ISBN10: 1466697679|EISBN13: 9781466697683
DOI: 10.4018/978-1-4666-9767-6.ch013
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MLA

Suthakar, K. Indira, and M. K. Kavitha Devi. "Resource Scheduling for Big Data on Cloud: Scheduling Resources." Managing and Processing Big Data in Cloud Computing, edited by Rajkumar Kannan, et al., IGI Global, 2016, pp. 185-205. https://doi.org/10.4018/978-1-4666-9767-6.ch013

APA

Suthakar, K. I. & Devi, M. K. (2016). Resource Scheduling for Big Data on Cloud: Scheduling Resources. In R. Kannan, R. Rasool, H. Jin, & S. Balasundaram (Eds.), Managing and Processing Big Data in Cloud Computing (pp. 185-205). IGI Global. https://doi.org/10.4018/978-1-4666-9767-6.ch013

Chicago

Suthakar, K. Indira, and M. K. Kavitha Devi. "Resource Scheduling for Big Data on Cloud: Scheduling Resources." In Managing and Processing Big Data in Cloud Computing, edited by Rajkumar Kannan, et al., 185-205. Hershey, PA: IGI Global, 2016. https://doi.org/10.4018/978-1-4666-9767-6.ch013

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Abstract

Cloud computing is based on the concepts of distributed computing, grid computing, utility computing and virtualization. It is a virtual pool of resources which are provided to users via Internet. It gives users virtually unlimited pay-per-use computing resources without the burden of managing the underlying infrastructure. Cloud computing service providers' one of the goals is to use the resources efficiently and gain maximum profit. This leads to task scheduling as a core and challenging issue in cloud computing. This paper gives different scheduling strategies and algorithms in cloud computing.

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