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A Survey and Taxonomy of Energy Efficient Resource Management Techniques in Platform as a Service Cloud

A Survey and Taxonomy of Energy Efficient Resource Management Techniques in Platform as a Service Cloud

Sareh Fotuhi Piraghaj, Amir Vahid Dastjerdi, Rodrigo N. Calheiros, Rajkumar Buyya
Copyright: © 2017 |Pages: 45
ISBN13: 9781522507598|ISBN10: 1522507590|EISBN13: 9781522507604
DOI: 10.4018/978-1-5225-0759-8.ch017
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MLA

Piraghaj, Sareh Fotuhi, et al. "A Survey and Taxonomy of Energy Efficient Resource Management Techniques in Platform as a Service Cloud." Handbook of Research on End-to-End Cloud Computing Architecture Design, edited by Jianwen “Wendy” Chen, et al., IGI Global, 2017, pp. 410-454. https://doi.org/10.4018/978-1-5225-0759-8.ch017

APA

Piraghaj, S. F., Dastjerdi, A. V., Calheiros, R. N., & Buyya, R. (2017). A Survey and Taxonomy of Energy Efficient Resource Management Techniques in Platform as a Service Cloud. In J. Chen, Y. Zhang, & R. Gottschalk (Eds.), Handbook of Research on End-to-End Cloud Computing Architecture Design (pp. 410-454). IGI Global. https://doi.org/10.4018/978-1-5225-0759-8.ch017

Chicago

Piraghaj, Sareh Fotuhi, et al. "A Survey and Taxonomy of Energy Efficient Resource Management Techniques in Platform as a Service Cloud." In Handbook of Research on End-to-End Cloud Computing Architecture Design, edited by Jianwen “Wendy” Chen, Yan Zhang, and Ron Gottschalk, 410-454. Hershey, PA: IGI Global, 2017. https://doi.org/10.4018/978-1-5225-0759-8.ch017

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Abstract

The numerous advantages of cloud computing environments, including scalability, high availability, and cost effectiveness have encouraged service providers to adopt the available cloud models to offer solutions. This rise in cloud adoption, in return encourages platform providers to increase the underlying capacity of their data centers so that they can accommodate the increasing demand of new customers. Increasing the capacity and building large-scale data centers has caused a drastic growth in energy consumption of cloud environments. The energy consumption not only affects the Total Cost of Ownership but also increases the environmental footprint of data centers as CO2 emissions increases. Hence, energy and power efficiency of the data centers has become an important research area in distributed systems. In order to identify the challenges in this domain, this chapter surveys and classifies the energy efficient resource management techniques specifically focused on the PaaS cloud service models.

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