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Optimization and Management of Resource in Utility Computing

Optimization and Management of Resource in Utility Computing

Kuldeep Singh Jadon, Praveen Mudgal, Robin Singh Bhadoria
Copyright: © 2016 |Pages: 22
ISBN13: 9781466688537|ISBN10: 146668853X|EISBN13: 9781466688544
DOI: 10.4018/978-1-4666-8853-7.ch002
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MLA

Jadon, Kuldeep Singh, et al. "Optimization and Management of Resource in Utility Computing." Emerging Research Surrounding Power Consumption and Performance Issues in Utility Computing, edited by Ganesh Chandra Deka, et al., IGI Global, 2016, pp. 22-43. https://doi.org/10.4018/978-1-4666-8853-7.ch002

APA

Jadon, K. S., Mudgal, P., & Bhadoria, R. S. (2016). Optimization and Management of Resource in Utility Computing. In G. Deka, G. Siddesh, K. Srinivasa, & L. Patnaik (Eds.), Emerging Research Surrounding Power Consumption and Performance Issues in Utility Computing (pp. 22-43). IGI Global. https://doi.org/10.4018/978-1-4666-8853-7.ch002

Chicago

Jadon, Kuldeep Singh, Praveen Mudgal, and Robin Singh Bhadoria. "Optimization and Management of Resource in Utility Computing." In Emerging Research Surrounding Power Consumption and Performance Issues in Utility Computing, edited by Ganesh Chandra Deka, et al., 22-43. Hershey, PA: IGI Global, 2016. https://doi.org/10.4018/978-1-4666-8853-7.ch002

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Abstract

In this modern era of computing, we are surrounded directly or indirectly related to the computer resources and services, and uses several programming language, different database management systems like RDBMS. At the same time, it need respective compilers and editors for different languages and the most important resource is “storage”, which could be either in the form of primary or secondary space storage. Our Industries like banking, health and education are growing with rapid demand of resources. Thus, to reduces the load of resources consumption and improves its capacity with performance, would be major focus into this chapter. This could be crafted with policy-base assignment of resources approach and adaptive self-learning with virtualization of resources for optimization. Using such approaches and methods, it helps in quality of service with higher availability, greater performance, and improved recoverability.

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