Using Static Code Analysis to Improve Performance of GridRPC Applications

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Provided by: University College Cork
Topic: Big Data
Format: PDF
In this paper, the authors present an approach to improve performance of GridRPC applications by statically analyzing dynamic workflows. An extension to GridRPC API is used to specify the region of code to apply static code analysis to, during the compilation phase. The information collected is then used at runtime for building a graph of dependencies between tasks, which is analyzed to assign servers to tasks in an optimal way, minimizing the time of computation and communication. This approach handles branching and looping correctly by building an extended dependency graph, which covers all branches of the code.
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