Abstract
Cloud Computing, as the new computing paradigm, provides cost-effective IT operations. In order to efficiently utilize the tremendous capabilities of the Cloud, efficient virtual machines (VMs) allocation and job scheduling mechanism is required. This paper presents an adaptive job scheduling and VM allocation method with threshold. Several scheduling policies are applied. The aim is to achieve effective resource utilization as well as saving users’ cost. SimPy is used to build the simulation model.
This article is a periodic research result of the project on China-Korea Cooperative Study on Key-frame Matching-based Video Motion Retargeting, granted by Liaoning Natural Foundation, Project Number: 2012216031.
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Cao, Y., Ro, C., Yin, J. (2013). Comparison of Job Scheduling Policies in Cloud Computing. In: Jung, HK., Kim, J., Sahama, T., Yang, CH. (eds) Future Information Communication Technology and Applications. Lecture Notes in Electrical Engineering, vol 235. Springer, Dordrecht. https://doi.org/10.1007/978-94-007-6516-0_10
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DOI: https://doi.org/10.1007/978-94-007-6516-0_10
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