Master/Slave assignment optimization for high performance computing in an EC2 cloud using MPI
We present a master/slave selection algorithm for the EC2 cloud service based on a benchmark to counteract this disadvantage. The benchmark measures communication speed and the variance of communication in a NxN network consisting of N cloud instances. With the results of the benchmark, we perform a master/slave selection algorithm to maximize the number of messages between master and slaves. The results show that our proposed method greatly increases efficiency.
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