Abstract
Parallel database systems are generally recognised as one of the most important application areas for commercial parallel systems. However, the task of managing the performance of a parallel database system is exceedingly complex. The initial choice of hardware configuration to support a particular DBMS application and the subsequent task of tuning the DBMS to improve performance rely not only on the way in which the data is structured, but also on how it is fragmented, replicated and distributed across the processing elements of the system. To understand the behaviour of a particular application requires the study of large volumes of performance data. To simplify this process it is essential to provide some means of presenting performance data in a comprehensible form which will aid visualisation. This paper explores some of the issues relating to decision support for the performance management of parallel database systems and describes an analytical capacity planning tool to assist users in this task.
Preview
Unable to display preview. Download preview PDF.
References
G. Copeland, W. Alexander, E. Boughter, and T. Keller. Data placement in Bubba. In Proceedings of ACM SIGMOD Conference, 1988.
K. Hua, C. Lee, and H. Young. An efficient load balancing strategy for sharednothing database systems. In Proceedings of DEXA '92 conference, pages 469–474, Valencia, Spain, September 1992.
M. B. Ibiza-Espiga and M. H. Williams. Data placement strategy for a parallel database system. In A. M. Tjoa, I. Ramos, Springer-Verlag, and Vienna, editors, Proceedings of Database and Expert Systems Applications 92, pages 48–54, Spain, 1992.
M. Kersten and F. Kwakkel. Design and implementation of a DBMS performance assessment tool. In Proceedings DEXA'93, pages 265–276, Praag, September 1993.
B. Schneiderman. Designing the User Interface — Strategies for Effective Human-Computer Interaction. Addison-Wesley Publishing Co., 1992.
S. Zhou and M. H. Williams. Data placement in parallel database systems. In M. Abdelguerfi, Y. Kambayashi, and K.-F. Wong, editors, To appear in Parallel Database Techniques. IEEE Press, 1996.
S. Zhou, M. H. Williams, and H. Taylor. Practical throughput estimation for parallel databases, submitted for publication to Software Engineering Journal, 1994.
S. Zhou, M. H. Williams, and H. Taylor. A comparative study of data placement in a parallel DBMS, submitted for publication to IEEE Transactions on Computers, 1995.
Author information
Authors and Affiliations
Editor information
Rights and permissions
Copyright information
© 1996 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Williams, M.H., Zhou, S., Taylor, H., Tomov, N. (1996). Decision support for management of parallel database systems. In: Liddell, H., Colbrook, A., Hertzberger, B., Sloot, P. (eds) High-Performance Computing and Networking. HPCN-Europe 1996. Lecture Notes in Computer Science, vol 1067. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-61142-8_543
Download citation
DOI: https://doi.org/10.1007/3-540-61142-8_543
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-61142-4
Online ISBN: 978-3-540-49955-8
eBook Packages: Springer Book Archive