| Summary: | 碩士 === 國立交通大學 === 電信工程研究所 === 101 === Cloud computing is one of the growing technology in recent years. Data center as the core of the supporting of the entire cloud services, the topic of how to build a data center is very important. Data center should support a large number of computing and the storage and transmission of data, which needs unblocked network. However, it’s not a simple question to choose a path of the Internet which can achieve targets such as high throughput and low delay. At the same time, data centers consume huge amounts of energy to ensure performance, which causes high operational costs, and huge carbon footprints are unfriendly to the environment. Therefore, we have to consider how to reduce energy consumption and keep high performance.
This thesis focus on network equipments in the data center which have rapidly growth of energy consumption recent years. The switches contribute the largest propotion of energy consumption of network equipments, so turn off unneeded switches reduce energy consumption effectively. We can develop good routing algorithm to improve energy consumption of network equipments.
It’s a complicated problem to decide routing path in a short period, so we choose genetic Genetic Algorithm to achieve our goals. Genetic algorithm is one of a heuristic algorithm. It solves the optimization problem quickly by imitating the way of the natural selection. We use fat-tree topology in our simulation, and make some improvements of GA in order to fit our problem and raise the correctness of its solution.
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