scholarly journals Design and Implementation of Metadata Cache Management Strategy for the Distributed File System

2014 ◽  
Vol 7 (3) ◽  
pp. 89-102 ◽  
Author(s):  
Jingning Liu ◽  
Junjian Chen ◽  
Wei Tong ◽  
Lei Tian ◽  
Cong Chen
1991 ◽  
Vol 21 (7) ◽  
pp. 657-675
Author(s):  
Hsiao-Chung Cheng ◽  
Jang-Ping Sheu

2012 ◽  
Vol 214 ◽  
pp. 584-590 ◽  
Author(s):  
De Jiao Niu ◽  
Tao Cai ◽  
Yong Zhao Zhan ◽  
Shi Guang Ju

Cloud storage is a hot topic in current research. Different from previous work, we emphasize the importance of metadata cache in the study of cloud storage. Because the efficiency of distributed file system has much effect on cloud storage The metadata operation accounts for more than 50% of the total file operation. So the strategy of efficient metadata management is important. There are three parts in this paper. We start with a brief introduction of cloud storage. Then a metadata caching algorithm for cloud storage is proposed. An additional discussion of its performance is also provided. The prototype which incorporates the proposed metadata caching algorithm is realized on Luster to evaluate its performance. Comparing experimental results from this study conclude that the metadata caching subsystem can improve the performance of cloud storage.


2014 ◽  
Vol 556-562 ◽  
pp. 4009-4013
Author(s):  
Yi Jiang ◽  
Qiang Xiao ◽  
Rong Huang ◽  
An Ping Xiong

With the development of information technology, distributed file system is widely used in massive information storage. Usually, distributed file system uses metadata server to achieve quick access to files according to directory, thus the organization and management of metadata are the keys to the file system performance. In general, directory subtree partition method and hash algorithm are used by existing mass storage system to manage metadata. However, to solve the problems, like low access efficiency of metadata, ineffective balance of load and poor extensibility, in existing metadata management strategy of distributed file system, dynamic load balance strategy of metadata based on hash tags is put forward, in which the tags act as partition granularity and hot tags of metadata will be hashed again to achieve the goal of load balance. The experimental results in this paper turn out that modified metadata management strategy based on hash tags has greater system throughput and less average response time than the one based on tags.,


2014 ◽  
Vol 36 (5) ◽  
pp. 1047-1064 ◽  
Author(s):  
Bin LIAO ◽  
Jiong YU ◽  
Tao ZHANG ◽  
Xing-Yao YANG

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