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Energy and Carbon Footprint-Aware Management of Geo-Distributed Cloud Data Centers: A Taxonomy, State of the Art, and Future Directions

Energy and Carbon Footprint-Aware Management of Geo-Distributed Cloud Data Centers: A Taxonomy, State of the Art, and Future Directions

Atefeh Khosravi, Rajkumar Buyya
ISBN13: 9781522520139|ISBN10: 1522520139|EISBN13: 9781522520146
DOI: 10.4018/978-1-5225-2013-9.ch002
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MLA

Khosravi, Atefeh, and Rajkumar Buyya. "Energy and Carbon Footprint-Aware Management of Geo-Distributed Cloud Data Centers: A Taxonomy, State of the Art, and Future Directions." Advancing Cloud Database Systems and Capacity Planning With Dynamic Applications, edited by Narendra Kumar Kamila, IGI Global, 2017, pp. 27-46. https://doi.org/10.4018/978-1-5225-2013-9.ch002

APA

Khosravi, A. & Buyya, R. (2017). Energy and Carbon Footprint-Aware Management of Geo-Distributed Cloud Data Centers: A Taxonomy, State of the Art, and Future Directions. In N. Kamila (Ed.), Advancing Cloud Database Systems and Capacity Planning With Dynamic Applications (pp. 27-46). IGI Global. https://doi.org/10.4018/978-1-5225-2013-9.ch002

Chicago

Khosravi, Atefeh, and Rajkumar Buyya. "Energy and Carbon Footprint-Aware Management of Geo-Distributed Cloud Data Centers: A Taxonomy, State of the Art, and Future Directions." In Advancing Cloud Database Systems and Capacity Planning With Dynamic Applications, edited by Narendra Kumar Kamila, 27-46. Hershey, PA: IGI Global, 2017. https://doi.org/10.4018/978-1-5225-2013-9.ch002

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Abstract

Cloud computing provides on-demand access to computing resources for users across the world. It offers services on a pay-as-you-go model through data center sites that are scattered across diverse geographies. However, cloud data centers consume huge amount of electricity and leave high amount of carbon footprint in the ecosystem. This makes data centers responsible for 2% of the global CO2 emission. Therefore, having energy and carbon-efficient techniques for resource management in distributed cloud data centers is inevitable. This chapter presents a taxonomy and classifies the existing research works based on their target system, objective, and the technique they use for resource management in achieving a green cloud computing environment. Finally, it discusses how each work addresses the issue of energy and carbon-efficiency and also provides an insight into future directions.

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