Metadata Caching Subsystem for Cloud Storage
De Jiao Niu, Tao Cai, Yong Zhao Zhan, Shi Guang Ju
Abstract
De Jiao Niu, Tao Cai, Yong Zhao Zhan, Shi Guang Ju
Abstract
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.
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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.
Key concepts: Metadata, Computer science, Cloud computing, Metadata management, Cloud storage, Metadata repository, Database, Cache