Abstract
Energy conservation is one of the most challenging problems in cloud datacenters. It is produced using fossil fuels, especially coal, gas, orimulsion and petroleum, and the cost of these fuels is increasing rapidly due to high demand of electricity. Moreover, fuels emit a huge amount of carbon dioxide and heat, which make adverse effect on the environment. Therefore, the cloud service providers are planning to use renewable energy sources, such as biomass, hydro, solar and wind to run their datacenters. It will reduce the usage of fossil fuels, the carbon dioxide emission and the energy cost of the datacenters to some extent. In this paper, we present a short review on renewable energy-based resource management in cloud computing. Here, the resources (like datacenters) use renewable energy sources to provide the services to the users and use non-renewable energy sources in case of scarcity of renewable energy. Furthermore, we discuss a load balancing problem in which the aim is to distribute the user requests to the datacenters and provide possible solutions to show the impact of non-renewable (brown) and renewable (green) energy in this context. These solutions are simulated using MATLAB R2014a, and their performances are tested using twenty instances of four different datasets in the form of two metrics, namely the overall cost and the number of used renewable energy resources.
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Nayak, S.K., Panda, S.K., Das, S. (2021). Renewable Energy-Based Resource Management in Cloud Computing: A Review. In: Tripathy, A., Sarkar, M., Sahoo, J., Li, KC., Chinara, S. (eds) Advances in Distributed Computing and Machine Learning. Lecture Notes in Networks and Systems, vol 127. Springer, Singapore. https://doi.org/10.1007/978-981-15-4218-3_5
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DOI: https://doi.org/10.1007/978-981-15-4218-3_5
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