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As distributed systems get increasingly popular in the use for large-scale computational/storage requirements, more attention has been put on the benefit of the system resource providers. This paper focuses on the online scheduling problem of how to schedule a set of sequentially submitted workflows with deadline constraints to maximize the resource utilization as well as the success rate of meeting...
There is an increasing interest for cloud services to be provided in a more energy efficient way. The growing deployment of large-scale, complex workflow applications onto cloud computing hosts is being faced with crucial challenges in reducing the power consumption without violating the service level agreement (SLA). In this paper, we consider cloud hosts which can operate in different power states...
In most heterogeneous computing systems, there is a need for solutions that can cope with the unavoidable uncertainty in individual task execution times, when scheduling DAGs. When such uncertainties occur, static DAG scheduling approaches may suffer, and some rescheduling may be necessary. Assuming that the uncertainty in task execution times is modelled in a stochastic manner, then we may be able...
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