Analysis of remote execution models for grid middleware

Grid computing applications, and distributed applications in general, often experience performance deterioration due to the latencies inherent in the execution of remote operations. Here we analyze three approaches for reducing latencies: an asynchronous model which executes operations in a thread to hide the remote latency of an operation, a bulk model which bundles multiple operations together in a single remote operation, and a pipelining model which executes remote operations in a pipeline-parallel mode. We analyze the performance, parameters and technical requirements of each model, and identify general properties which can help determine which model is the most suitable.Our results show that, depending on the use case scenario, any of the three models can offer the best performance, and we conclude by presenting a hybrid model that combines all three approaches, potentially providing the benefit of each.