Heterogeneous computing environment characterization and thermal-aware scheduling strategies to optimize data center power consumption
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Many computing systems are heterogeneous both in terms of the performance of their machines and in terms of the characteristics and computational complexity of the tasks that execute on them. Furthermore, different tasks are better suited to execute on specific types of machines. Optimally mapping tasks to machines in a heterogeneous system is, in general, an NP-complete problem. In most cases, heuristics are used to find near-optimal mappings. The performance of allocation heuristics can be affected significantly by factors such as task and machine heterogeneities. In this thesis, different ...