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Hadoop Distributed File System (HDFS) Study Reliability and Optimization

Author: DiYongDong
Tutor: ZhouJingLi
School: Huazhong University of Science and Technology
Course: Computer System Architecture
Keywords: Distributed File System Consistency algorithm Single point of failure Hot Standby
CLC: TP316.4
Type: Master's thesis
Year: 2011
Downloads: 400
Quote: 3
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As cloud computing and cloud storage gradually being accepted by the industry , more and more enterprises and research institutions are beginning to use Hadoop to develop their own cloud storage architecture system , including Yahoo!, Facebook and IBM . Because the process is mainly through Hadoop Hadoop Distributed File System (HDFS) to achieve, so the study of HDFS as many companies to structure their own cloud storage and cloud computing systems based . Therefore, for the processing of HDFS as well as its own data backup mechanisms were studied in detail . Although , HDFS itself has a very good data backup mechanism can be used to improve data security and availability . However, since there is only one metadata server nodes NameNode, which resulted in a single-point failures. By implementing Paxos consensus algorithm based on a distributed system to solve the metadata server single point of failure problem and design an electoral mechanism to improve system security and performance. In the design of the electoral mechanism , the system all the metadata server is divided into two roles Leader and Follower . Among them, a metadata server as the Leader, the other to work as a Follower . Leader election mechanism needs to be elected as a system -specific acceptor and learner to work to coordinate and synchronize all metadata servers work . There are N sets of metadata server systems, can achieve up to (N-1) / 2 sets metadata server failure , it is suitable for large-scale system. The test results, as long as the system has N / 2 1 sets the metadata server to work properly , the system can continue to work . And , Follower failure has little effect on the performance of the system , mainly in the recovery time needed for data synchronization with the Leader . The Leader failure greater impact on the system , mainly in the Leader election mechanism needs to be run after the failure to re- elect a new Leader. When the system is less than N / 2 1 survival server , the system will stop operating .

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CLC: > Industrial Technology > Automation technology,computer technology > Computing technology,computer technology > Computer software > Operating system > Distributed operating systems, parallel -type operating system
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