원문정보
초록
영어
With the rapid development of cloud computing technology, it’s the cloud rendering that cloud computing is applied to render the job in CG (Computer Graphic) industry. The cloud rendering can handle a large number of rendering requests which are enormous pressure for back-end servers in system. Facing with massive data and computing resources, the bottleneck of original HDFS (Hadoop Distributed File System) based on cloud computing has become more and more prominent, such as the failure of single Namenode, scalability issues. Therefore, the paper proposed an improved HDFS which evolved a single Namenode into multi-Namenode. In HDFS, Metadata management is very important. So this paper presented a two-level Metadata distribution algorithm. The two-level algorithm was based on the principle that different distribution strategies were used to different categories of Metadata. The experiments verified that the improved HDFS effectively improved the performance of the system.
목차
1. Introduction
1.1. The Present and Problems of File System in Cloud Rendering
1.2. The Present and Problems of HDFS
2. The Basic Idea of HDFS
2.1. Namenode
2.2. Datanode
2.3. The Operations of Reading and Writing in HDFS
3. Improved HDFS Based on the Multi-Namenode Architecture
3.1. The Election Mechanism of Master Namenode
3.2. Metadata Information Based on the Two-Level Distribution Strategy
4. Experimental Results
4.1. Experimental Environment
4.2 Experimental Results and Analyses
5. Conclusions
References