Performance Comparison of Hadoop Distributed File System and Ceph

• Main Authors: CHIH-YUAN CHO, 卓志遠
• Other Authors: CHAO-TUNG YANG
• Format: Others
• Language: zh-TW
• Published: 2014
• Online Access: http://ndltd.ncl.edu.tw/handle/27230766807802849865

碩士 === 東海大學 === 資訊工程學系 === 102 === Cloud computing refers to services at anytime, anywhere, on demand, using any device to access various services. It is a model that can be easily accessed in accordance with the needs of the network computer resources provided by these computer resources, including networks, servers, storage, applications, and services. In response to the popularity of cloud computing services, which produce large amount of information and data, and in order to save the future of science and technology development, processing and analyzing massive data applications for key research direction, the storage and handling of large amount of data without the use of distributed computing and Distributed File System, has become the focal point. In this thesis, the open source, Hadoop Distributed File System, and Ceph were compared in these areas of file uploading/downloading performance, transmission capacity, and fault tolerance comparative analysis of file size. In 60-different-file size transmission test, Ceph performed only 2 times better than the obvious data Hadoop. The rest of the experimental data shown a better performance achieved with the Hadoop. The more stable and better performing Hadoop though currently under proof stage, has yet to be implemented by the industry. Ceph is not currently recommended in production environment; however, there can be a great development for future growth.