首页|Cluster based parallel database management system for data intensive computing
Cluster based parallel database management system for data intensive computing
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This paper describes a computer-cluster based parallel database management system (DBMS), InfiniteDB, developed by the authors. InfiniteDB aims at efficiently sup-port data intensive computing in response to the rapid grow-ing in database size and the need of high performance ana-lyzing of massive databases. It can be efficiently executed in the computing system composed by thousands of computers such as cloud computing system. It supports the parallelisms of intra-query, inter-query, intra-operation, inter-operation and pipelining. It provides effective strategies for managing massive databases including the multiple data declustering methods, the declustering-aware algorithms for relational operations and other database operations, and the adaptive query optimization method. It also provides the functions of parallel data warehousing and data mining, the coordinator-wrapper mechanism to support the integration of heteroge-neous information resources on the Internet, and the fault tol-erant and resilient infrastructures. It has been used in many applications and has proved quite effective for data intensive computing.
parallel databasecloud computingdata inten-sive super computing
Jianzhong LI、Wei ZHANG
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School of Computer Science and Technology, Harbin Institute of Technology, Haribin 150001, China
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