Summary
One of the most important aspects in cloud computing is the infraestructure as a service (IaaS). In the basic cloud service model, providers offers virtual machines and solutions based on virtualization. An user pays for consumption of resources (disk space, virtual local area networks, etc.). A data center is a facility used to house computer systems to provide IaaS. Large data centers consume a lot of electricity (high power consumption) and are a source of environmental pollution and costs, so it is important to improve their performance. In this paper a fuzzy rule-based system is proposed to schedule virtual machines in a data center based on Green Computing concepts: minimum power consumption as performance index is considered. This approach is compared to classic scheduling algorithms in literature.
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Seddiki, M., de Prado, R.P., Munoz-Expósito, J.E., García-Galán, S. (2014). Fuzzy Rule-Based Systems for Optimizing Power Consumption in Data Centers. In: S. Choras, R. (eds) Image Processing and Communications Challenges 5. Advances in Intelligent Systems and Computing, vol 233. Springer, Heidelberg. https://doi.org/10.1007/978-3-319-01622-1_34
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DOI: https://doi.org/10.1007/978-3-319-01622-1_34
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