Publication | Open Access
Challenges in executing large parameter sweep studies across widely distributed computing environments
29
Citations
11
References
2007
Year
Unknown Venue
Cluster ComputingEngineeringComputer ArchitectureSoftware EngineeringDistributed Data ProcessingHigh Performance ComputingSoftware AnalysisPersonal ClustersConcrete Application ExamplesData ScienceDistributed EnvironmentParallel ComputingData ManagementHigh-performance Data AnalyticsMassively-parallel ComputingComputer EngineeringParameter Sweep StudiesComputing EnvironmentsComputer SciencePerformance Analysis ToolData-intensive ComputingDistributed ProcessingScalable ComputingDistributed ComputingProgram AnalysisEdge ComputingSoftware TestingCloud ComputingParallel ProgrammingSystem SoftwareBig Data
Large parameter sweep studies are common in a broad range of scientific disciplines. However, many challenges exist in supporting this type of computation in a widely distributed computing environment. These challenges exist because contributing sites in a federated distributed computing environment usually expose only a very narrow resource-sharing interface. This paper looks at the challenges encountered by parameter sweep studies using two concrete application examples. The paper also shows how a system for building personal clusters on demand has been developed to solve many of these problems.
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