Design And Implementation Of Mass Storage System`s Data Node

Human society has entered information age where the total amount of information increases exponentially.The explosive growth of the amount of information make the need of massive data storage growing. Traditional stand-alone data storage can no longer meet the needs of mass storage. Excellent people introduces a distributed memory approach to solve this problem. In the recent decade, enterprises and academic community have made distributed file system more clustered-based and parallel and have developed many parallel file systems to meet the demands.BlueOcean is a massive storage distributed file system developed by our research group. It uses advanced parallel file system architecture in which metadata and data are managed by different servers, and used data replica to provide data reliability. It aslo use a standby node to provide high availability.In this thesis, we describes the design and implementation of BlueOcean system`s data nodes. Studied and solved the main problems we encountered, when we design and implementation this system. The main work of this thesis includes:1) Study and analyze the design of some current popular distributed file system, and make evaluation.2) Introduced BlueOcean overall system architecture, and its interaction within each node.3) Studied and solved the main problems we encountered, when we design and implementation this system.4)Designed and implemented BlueOcean system`s data node, tested and analyzed it.The results show that the design of the BlueOcean`s data node well achieved its basic functions, and it provided efficient support of many client concurrent access. This research is also a valuable reference for other distributed file system design.