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Abstract
Temporal violation handling is the key of the last component in our temporal framework for scientific cloud workflow systems. Clearly, whether a detected temporal violation can be recovered or not mainly depends on the performance of temporal violation handling strategies employed in the system. Meanwhile, since the time overheads and monetary cost for temporal violation handling strategies are usually much more expensive than that of its precedent steps such as checkpoint selection and temporal verification, cost-effective temporal violation handling strategies are required to be employed or designed to reduce the overall cost of the temporal framework.
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