Reducing Energy Consumption Considering Stochastic Distribution of Network Traffic

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Malekloo, Ashkan | 2015

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Type of Document: M.Sc. Thesis
Language: Farsi
Document No: 47358 (19)
University: Sharif University of Technology
Department: Computer Engineering
Advisor(s): Goudarzi, Maziar
Abstract:
In the past few years, because of the high energy price in data centers, optimizing energy consumption has become of real importance. The disproportionate energy consumption of network devices to their utilization has led them to become one of the biggest consumers of energy inside data centers. On the other hand, the stochastic nature of network traffic among virtual machines has made the assumption of known or fixed communication volume superficial. In this research we considered a stochastic distribution of network traffic and communication volume among virtual machines trying to change the communication inside data center to communication inside hosts. Initially, we start by evaluating the stochastic distribution of network communication and benefiting from stochastic optimization techniques to spread virtual machines on hosts. We expect to diminish the energy consumption of data center by reducing the communication among virtual machines and the response time of tasks
Keywords:
Data Center ; Virtualization ; Random Distribution ; Energy Optimization ; Green Computing ; Application Dependency

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