Design and Implementation of Big Data Remote Backup Based on Cloud Computing Data Center

• Main Authors: Cin-long Guo, 郭欽龍
• Other Authors: Bao-rong Chang
• Format: Others
• Language: en_US
• Published: 2014
• Online Access: http://ndltd.ncl.edu.tw/handle/25v94k

碩士 === 國立高雄大學 === 資訊工程學系碩士班 === 102 === Apache HBase and Cassandra are a common cloud computing NoSQL databases for large distributed systems, both with high flexibility and high scalability characteristics, suitable for use in the context of huge amounts of data. The objective of this study is to realize the Apache HBase and Cassandra cloud data centers remote backup systems, and designing a graphical user interface with high affinity (Graph User Interface, GUI). Large distributed architecture database used in traditional master-slave (master-slave) or peers (peer-to-peer) and other ways to backup data in order to reduce the risk of data loss, but the data integrity of the database, such as coherence (Consistency), high availability (Availability) or partition tolerance (Partition tolerance) are often unable to reach the desired demand. Therefore, this study first to achieve the data integrity of cloud data centers remote backup systems, and the effectiveness and efficiency of many typical database testing, then granting performance (Cost-Performance Ratio) assessment. In addition, Apache Thrift binary communications protocol technology, build easy to use graphical user interface that enables large volumes of data across platforms operations, such as data read, file write, and secondary indexes, and so on, to replace an unwieldy command line operations, improving user affinity for NoSQL database operations.