High Performance Metadata Management Engine for Large-Scale Distributed File Systems
Myung-Hoon Cha, Sangmin Lee, Dong-Oh Kim, Hong-Yeon Kim, Young‐Kyun Kim · 2015
This paper presents a metadata management engine with considerable performance and scalability that can be used in a nationwide file storage service. While a metadata server cluster is needed to support a huge number of metadata requests in a large-scale file storage, in reality, there are few such clusters with a product level quality. We propose a metadata management architecture with several new features including the maximum performance potentialities using a single metadata server. Based on this architecture, we implemented a new file system that is now being used for many storage services on Internet.