||The data of star observation is huge and increase continuously. Therefore it needs strong hardware to store these data. If these data lacks of a efficiently manage methodology, users will need to find and get data themselves, it’s not a good and efficient way. In order to solve this problem, this paper proposes a hierarchical design distributed file system to manage these astronomical observation data. First, this system uses Hierarchical Triangular Mesh to compute a key for every star, the values of these keys are sequential, so this paper links the servers in the system to form a ring structure, and let every server manages an unrepeated range of keys, range that every two adjacent servers manage are also continuous. Besides, The reason why adopting ring structure is due to its scalability, fault tolerance and availability, these advantages build the good foundation of the system.|
For increase the efficiency of query, the system needs execute multiple services. To reduce the load of servers, this paper builds three level of the ring structure and allocates these services to different layer. These layers are 1. Query Transaction, 2. Data index, 3. Storage. This design not only reduces the load, but also makes these services independent.
|| Napster, http://www.napster.com|
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