Abstract
The high scientific applications which contain thousands of tasks are usually executed in virtulized cloud for many benefits. With the increment of the processing capability of the cloud system, the computation energy is significantly consumed along. Thus efficient energy consumption methods are quite necessary to save the energy cost. In this paper, the independent task scheduling problem in a cloud data center is considered. It is a big challenge to achieve the tradeoff between the minimization of computation energy and user-defined deadlines. A heuristic is proposed which consist of an energy efficient task sequencing method and a virtual machine searching strategy. Experimental results show that the proposed heuristic clearly outperforms the other algorithms.
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Zhu, X., Hussain, M., Li, X. (2019). Energy-Efficient Independent Task Scheduling in Cloud Computing. In: Tang, Y., Zu, Q., Rodríguez García, J. (eds) Human Centered Computing. HCC 2018. Lecture Notes in Computer Science(), vol 11354. Springer, Cham. https://doi.org/10.1007/978-3-030-15127-0_43
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DOI: https://doi.org/10.1007/978-3-030-15127-0_43
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