Computer and Information Science 2011

TL;DR: The experiment results have shown that the HPSO (High Performance Scheduling Optimizer), a prefetching service based task scheduler to improve data locality for MapReduce jobs, can reduce the map tasks causing remote data delay, and improves the performance of Hadoop clusters.

TL;DR: The results show that model transformations can efficiently improve quality of use case models by saving time and effort.

TL;DR: A GPU based enhanced differential evolution algorithm is presented in this chapter to solve the flow shop scheduling problem and validate that with increasing problem complexity, GPU programming becomes more viable.

TL;DR: The proposed genetic algorithm (GA) can handle large-scale task scheduling problems with scalable speedup under limitations of GPU device (e.g. GPU’s device memory, number of GPU cores, etc.).