Multi Level Adaption for Efficient Workflow Management in Cloud Computing
Abstract - Scientific computations from various research and business endeavors are composed as workflows that access shared data, shared pool of resources on demand. Predicting the dynamic properties of the resources and coordinated control of resources and workflows is critical especially for deadline sensitive workflows. Existing approaches for executing workflows are mainly focused on homogeneous environments whereas in the cloud, workflow has to manage new issues such as scheduling over different cloud environments, initialization of virtualized instances and impact of data transfer. The investigation of cloud workflow systems, is a timely issue and worthwhile for increasing performance efforts. This research work considers the problem of design and optimization of cloud workflows.
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