Energy-aware Workflow Scheduling and Fuzzy Logic Based Capacity Provisioning in Cloud Environment


Autoria(s): Pan, Yao
Contribuinte(s)

Bai, Yan

Data(s)

29/09/2015

2015

Resumo

Thesis (Master's)--University of Washington, 2015

The increasing need of large-scale data centers has brought new challenges to the development of energy-efficiency techniques. Although many optimization techniques have been proposed, most of them neglect the characteristics of tasks and fail to consider the dependencies between tasks. Therefore, more comprehensive optimization is needed. The goal of this thesis is to combine capacity provisioning with scientific workflow scheduling to generate optimization in these two ways. Capacity provisioning is built upon a fuzzy logical mechanism to accomplish constructing computing resources proactively, and workflow scheduling is designed with the purpose of achieving energy efficiency. We aim at achieving optimization both in energy consumption and completion time.

Formato

application/pdf

Identificador

Pan_washington_0250O_14414.pdf

http://hdl.handle.net/1773/33460

Idioma(s)

en_US

Direitos

Copyright is held by the individual authors.

Palavras-Chave #capacity provisioning; Cloud computing #Computer science #computing and software systems
Tipo

Thesis