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- W2892368886 abstract "A fair scheduling strategy is, when there are enough resources for the execution of the highest priority job, the one that does not delay the job at the front more than the average waiting time (AWT) of the already finished jobs. Some have focused on reducing cost of utilization. These studies have mainly focused on optimizing one criterion. In the present paper, we propose a new model multi-objective multi-criterion(MOMC) that not only minimizes the makespan,cost but also inculcates the fairness by reducing average waiting time and starvation. In this paper we proposed a new scheduling algorithm which allocates jobs based on hierarchy(Long-Short)Jobs allocation process on (Fast-Slow) Virtual Machines known as Two-Party Model(TPM). In this paper we also compare result with other algorithms like FCFS,NHCP." @default.
- W2892368886 created "2018-09-27" @default.
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- W2892368886 date "2017-08-01" @default.
- W2892368886 modified "2023-09-25" @default.
- W2892368886 title "Improving Performance of Job Scheduling with Maintaining Efficiency and Fairness in Cloud Environment" @default.
- W2892368886 doi "https://doi.org/10.1109/iccubea.2017.8463658" @default.
- W2892368886 hasPublicationYear "2017" @default.
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