Workflow applications executed in Grid environments are not able to take advantage of all the potential parallelism they might have. This limitation in the usage of parallelism com...
Abstract. Ecologists spend considerable effort integrating heterogeneous data for statistical analyses and simulations, for example, to run and test predictive models. Our research...
In this paper, we describe the design and implementation of two mechanisms for fault-tolerance and recovery for complex scientific workflows on computational grids. We present our ...
Workflows tend to fail in real-world scenarios due to the uncertain/unreliable sensory information which sometimes needs to be updated during the execution of workflows. In a lo...
Prabhdeep Singh, Fatih Gelgi, Hasan Davulcu, Steph...
Abstract--Cloud computing infrastructures are providing resources on demand for tackling the needs of large-scale distributed applications. Determining the amount of resources to a...