Abstract
Virtualization is one of the key technologies that enable Cloud Computing, a novel computing paradigm aiming at provisioning on-demand computing capacities as services. With the special features of self-service and pay-as-you-use, Cloud Computing is attracting not only personal users but also small and middle enterprises. By running applications on the Cloud, users need not maintain their own servers thus to save administration cost.
Cloud Computing uses a business model meaning that the operation overhead must be a major concern of the Cloud providers. Today, the payment of a data centre on energy may be larger than the overall investment on the computing, storage and network facilities. Therefore, saving energy consumption is a hot topic not only in Cloud Computing but also for other domains.
This work proposes and implements a virtual machine (VM) scheduling mechanism that targets on both load-balancing and temperature-balancing with a final goal of reducing the energy consumption in a Cloud centre. Using the strategy of VM migration it is ensured that none of the physical hosts suffers from either high temperature or over-utilization. The proposed scheduling mechanism has been evaluated on CloudSim, a well-known simulator for Cloud Computing. Initial experimental results show a significant benefit in terms of energy consumption.
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Mhedheb, Y., Jrad, F., Tao, J., Zhao, J., Kołodziej, J., Streit, A. (2013). Load and Thermal-Aware VM Scheduling on the Cloud. In: Kołodziej, J., Di Martino, B., Talia, D., Xiong, K. (eds) Algorithms and Architectures for Parallel Processing. ICA3PP 2013. Lecture Notes in Computer Science, vol 8285. Springer, Cham. https://doi.org/10.1007/978-3-319-03859-9_8
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DOI: https://doi.org/10.1007/978-3-319-03859-9_8
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