The Seventh IEEE Workshop on Future Trends of Distributed Computing Systems Performance of Dynamic Load Balanced Join Algorithms in Shared Disk Parallel Database Systems Tunisia, South Africa December 20-December 20 ISBN: 0-7695-0468-X
Parallel database systems are the key to high performance database processing. In this paper, we propose parallel join algorithms in shared disk parallel database systems, where all coupled nodes are connected via a high-speed network and share a common database at the disk level. The proposed algorithms are novel in the sense that they can provide a higher potential for dynamic load balancing with the inherent flexibility of the shared disk architecture. Using a parallel database simulation model, we evaluate the performance of the proposed algorithms under a wide variety of system configurations and database workloads.
Index Terms:
Databases, Join Algorithm, Parallel Processing, Shared Disk
Citation:
Aekyung Moon, Kyungho On, Haengrae Cho, "Performance of Dynamic Load Balanced Join Algorithms in Shared Disk Parallel Database Systems," ftdcs, pp.176, The Seventh IEEE Workshop on Future Trends of Distributed Computing Systems, 1999 Usage of this product signifies your acceptance of the Terms of Use. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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