publication . Preprint . 2017

A Taxonomy and Future Directions for Sustainable Cloud Computing: 360 Degree View

Gill, Sukhpal Singh; Buyya, Rajkumar;
Open Access English
  • Published: 07 Dec 2017
Abstract
The cloud computing paradigm offers on-demand services over the Internet and supports a wide variety of applications. With the recent growth of Internet of Things (IoT) based applications the usage of cloud services is increasing exponentially. The next generation of cloud computing must be energy-efficient and sustainable to fulfil the end-user requirements which are changing dynamically. Presently, cloud providers are facing challenges to ensure the energy efficiency and sustainability of their services. The usage of large number of cloud datacenters increases cost as well as carbon footprints, which further effects the sustainability of cloud services. In thi...
Subjects
free text keywords: Computer Science - Distributed, Parallel, and Cluster Computing, D.4.1
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[1] Blesson Varghese, and Rajkumar Buyya. "Next Generation Cloud Computing: New Trends and Research Directions." Future Generation Computer Systems, Volume 79, Part 3, February 2018, Pages 849-861.

[2] Toni Mastelic, Ariel Oleksiak, Holger Claussen, Ivona Brandic, Jean-Marc Pierson, and Athanasios V. Vasilakos. "Cloud computing: Survey on energy efficiency." ACM Computing Surveys, vol. 47, no. 2 (2015): 33.

[3] Junaid Shuja, Abdullah Gani, Shahaboddin Shamshirband, Raja Wasim Ahmad, and Kashif Bilal. "Sustainable cloud datacenters: a survey of enabling techniques and technologies." Renewable and Sustainable Energy Reviews 62 (2016): 195-214. [OpenAIRE]

[4] Victor Chang, Robert John Walters, and Gary Brian Wills. "Organisational sustainability modelling-An emerging service and analytics model for evaluating Cloud Computing adoption with two case studies." International Journal of Information Management 36, no. 1 (2016): 167-179.

[5] Massimo Ficco, and Massimiliano Rak. "Economic denial of sustainability mitigation in cloud computing." In Organizational Innovation and Change, pp. 229-238. Springer, Cham, 2016.

[6] Xiang Li, Xiaohong Jiang, Peter Garraghan and Zhaohui Wu. "Holistic energy and failure aware workload scheduling in Cloud datacenters." Future Generation Computer Systems, vol. 78 (2018): 887-900. [OpenAIRE]

[7] Fereydoun Farrahi Moghaddam, and Mohamed Cheriat. "Sustainability-aware cloud computing using virtual carbon tax." arXiv preprint arXiv:1510.05182 (2015). [OpenAIRE]

[8] Josep Subirats, and Jordi Guitart. "Assessing and forecasting energy efficiency on Cloud computing platforms." Future Generation Computer Systems 45 (2015): 70-94. [OpenAIRE]

[9] Zhou Zhou, Zhi-gang Hu, Tie Song, and Jun-yang Yu. "A novel virtual machine deployment algorithm with energy efficiency in cloud computing." Journal of Central South University 22, no. 3 (2015): 974-983.

Abstract
The cloud computing paradigm offers on-demand services over the Internet and supports a wide variety of applications. With the recent growth of Internet of Things (IoT) based applications the usage of cloud services is increasing exponentially. The next generation of cloud computing must be energy-efficient and sustainable to fulfil the end-user requirements which are changing dynamically. Presently, cloud providers are facing challenges to ensure the energy efficiency and sustainability of their services. The usage of large number of cloud datacenters increases cost as well as carbon footprints, which further effects the sustainability of cloud services. In thi...
Subjects
free text keywords: Computer Science - Distributed, Parallel, and Cluster Computing, D.4.1
Download from

[1] Blesson Varghese, and Rajkumar Buyya. "Next Generation Cloud Computing: New Trends and Research Directions." Future Generation Computer Systems, Volume 79, Part 3, February 2018, Pages 849-861.

[2] Toni Mastelic, Ariel Oleksiak, Holger Claussen, Ivona Brandic, Jean-Marc Pierson, and Athanasios V. Vasilakos. "Cloud computing: Survey on energy efficiency." ACM Computing Surveys, vol. 47, no. 2 (2015): 33.

[3] Junaid Shuja, Abdullah Gani, Shahaboddin Shamshirband, Raja Wasim Ahmad, and Kashif Bilal. "Sustainable cloud datacenters: a survey of enabling techniques and technologies." Renewable and Sustainable Energy Reviews 62 (2016): 195-214. [OpenAIRE]

[4] Victor Chang, Robert John Walters, and Gary Brian Wills. "Organisational sustainability modelling-An emerging service and analytics model for evaluating Cloud Computing adoption with two case studies." International Journal of Information Management 36, no. 1 (2016): 167-179.

[5] Massimo Ficco, and Massimiliano Rak. "Economic denial of sustainability mitigation in cloud computing." In Organizational Innovation and Change, pp. 229-238. Springer, Cham, 2016.

[6] Xiang Li, Xiaohong Jiang, Peter Garraghan and Zhaohui Wu. "Holistic energy and failure aware workload scheduling in Cloud datacenters." Future Generation Computer Systems, vol. 78 (2018): 887-900. [OpenAIRE]

[7] Fereydoun Farrahi Moghaddam, and Mohamed Cheriat. "Sustainability-aware cloud computing using virtual carbon tax." arXiv preprint arXiv:1510.05182 (2015). [OpenAIRE]

[8] Josep Subirats, and Jordi Guitart. "Assessing and forecasting energy efficiency on Cloud computing platforms." Future Generation Computer Systems 45 (2015): 70-94. [OpenAIRE]

[9] Zhou Zhou, Zhi-gang Hu, Tie Song, and Jun-yang Yu. "A novel virtual machine deployment algorithm with energy efficiency in cloud computing." Journal of Central South University 22, no. 3 (2015): 974-983.

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