Chaokun Yan

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Meeting users' deadline constraint is usually the most important goal of workflow scheduling in Grid environment. In order to consider the dynamism of Grid resource, we adopted a stochastic model to describe dynamic workloads of Grid resources. A concept called Deadline Satisfaction Degree of Workflow (DSDW) was defined to represent the probability that a(More)
Deadline guarantee is an important QoS requirement for some critical scientific workflow applications. However, the resource heterogeneity and the unpredictable workloads make it difficult for grid system to provide efficient deadline-guarantee service for those applications. Recent IaaS providers, such as Amazon’s EC2, provide virtualized on-demand(More)
Efficient workflow scheduling algorithm meeting user' s Quality of Service requirement is a complicated problem due to the dynamics and uncertainty of grid environment. Aiming at guaranteeing the reliability of workflow execution under budget constraint, a calculation method for reliability of task execution, based on evaluation of dynamic service capacity(More)
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