Abstract
Efficient task scheduling mechanism can meet users’ requirements, and improve the resource utilization, thereby enhancing the overall performance of the cloud computing environment. But the task scheduling in grid computing is often about the static task requirements, and the resources utilization rate is also low. According to the new features of cloud computing, such as flexibility, virtualization and etc, this paper discusses a two levels task scheduling mechanism based on load balancing in cloud computing. This task scheduling mechanism can not only meet user’s requirements, but also get high resource utilization, which was proved by the simulation results in the CloudSim toolkit.
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References
Rimal, B.P., Choi, E., Lumb, I.: A Taxonomy and Survey of Cloud Computing Systems. In: Fifth International Joint Conference on INC,IMS and IDC, vol. 218, pp. 44–51 (2009)
Foster, I., Zhao, Y., Raicu, I., Lu, S.: Cloud Computing and Grid Computing 360-Degree Compared. In: Grid Computing Enviroments Workshop, pp. 1–10 (2008)
Armbrust, M.: Above the Clouds: A Berkeley View of Cloud Computing. In: EECS Department, University of California, Berkeley (2009)
Sadhasivam Dr., S., Jayarani, R.: Design and Implementation of an efficient Two-level Scheduler for Cloud Computing Environment. In: International Conference on Advances in Recent Technologies in Communication and Computing, vol. 148, pp. 884–886 (2009)
Xiang-hui, P., Er-hu, Z., Xue-yi, W., Guang-feng, L.: Load balancing algorithm of multi-cluster grid. Computer Enineering and Applications 45(35), 107–110 (2009)
The CLOUDS Lab.CloudSim: A Novel Framework for Modeling and Simulation of Cloud Computing Infrastructures and Services [EB/OL], http://www.gridbus.org/cloudsim/
Bing-han, L., Jun, H., Xiang, H., Qi, L.: Grid Load Schedule Algorithm Based on QoS. Computer Engineering 35(24), 96–98 (2009)
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Fang, Y., Wang, F., Ge, J. (2010). A Task Scheduling Algorithm Based on Load Balancing in Cloud Computing. In: Wang, F.L., Gong, Z., Luo, X., Lei, J. (eds) Web Information Systems and Mining. WISM 2010. Lecture Notes in Computer Science, vol 6318. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-16515-3_34
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DOI: https://doi.org/10.1007/978-3-642-16515-3_34
Publisher Name: Springer, Berlin, Heidelberg
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