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- W2786103265 abstract "Many virtual clusters, virtual machines run in each data center hosting number of heterogeneous tasks submitted by different cloud customers. In this concept, scheduling of incoming tasks to cloud should be scheduled on to less number of physical servers which improves the resource utilization. Scheduler should also efficiently manage the load between resources and achieve minimum execution time. In this paper, we designed an efficient approach for time shared task scheduler which effectively does load balancing, resource utilization and provides high performance than existing time shared task scheduler. This algorithm has been tested using CloudSim toolkit and results were compared with existing time shared task scheduler." @default.
- W2786103265 created "2018-02-23" @default.
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- W2786103265 date "2017-08-01" @default.
- W2786103265 modified "2023-09-27" @default.
- W2786103265 title "Efficient time shared task scheduler for cloud computing" @default.
- W2786103265 cites W2045287414 @default.
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- W2786103265 doi "https://doi.org/10.1109/icomicon.2017.8279012" @default.
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