| Summary: | 碩士 === 國立高雄第一科技大學 === 資訊管理所 === 98 === Cloud computing is an emerging concept from the year of 2007. Its name is derived from the technical staff while discussing the Internet, by drawing a cloud to represent the Internet network. Therefore it became the Internet cloud synonymous. The cloud computing simply means that the data storage and computing on the Internet. So far, Google、Amazon、Microsoft、IBM and other IT manufacturers, have launched their own platforms for cloud computing, and made the cloud computing is the most important trend in the future.
MapReduce has recently become an important development model on large-scale parallel systems. Meanwhile, Hadoop is an open-source MapReduce framework, and is widely used in large-scale information calculation cloud-computing. In the structure of cloud-computing, it usually uses virtual machines (VM) as the implementation platform, because they are easy to manage and maintain.
The purpose of this study is to take advantage of the convenience of cloud structure and its computing power. In this thesis we will propose an innovative gene-based Hadoop framework to accelerate the pace of genetic evolution. The proposed architecture is called “CloudGene”. The experimental results of Mona-Lisa graphic evolution show that and the coin experiment results show that CloudGene is 7 times faster than the traditional distributed architecture.
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