Abstract
This paper describes work in progress on the assessment of scaleable database architectures for CDR analysis. First, the scientific and industrial state-of-the-art of scaleable database architectures is presented. This is followed by a detailed description of experiments carried out on two promising architectures: NUMA and NT-clusters. The paper concludes with a discussion of some early analyses of NUMA experiments.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
EURESCOM P817, Deliverable 1, vol. 2, Annex 1 - Architectural and Performance issues (1998)
Mehta, M., DeWitt, D.J.: Data placement in shared-nothing parallel database systems. The VLDB Journal 6(1), 53–72 (1997)
Norman, M., Thanisch, P.: Parallel database technology: an evaluation and comparison of scalable systems. The Bloor research group, Milton Keynes, UK (1995)
Catania, V., Puliafito, A., Riccobene, S., Vita, L.: Design and Performance Analysis of a Disk Array System. IEEE Transactions on Computers 44(10), 1236–1247 (1995)
Wain, J.: CC-NUMA bibliography (1996), http://www-frec.bull.fr/OSBU20/biblio.htm
Dolan, D.: SMP versus NUMA versus Clustering: Which architecture is best?, Gartnergroup market analysis (1998)
Gupta, A., et al.: Performance limitations of CC-NUMA and hierarchical COMA multiprocessors and the flat-COMA solution, Computer Systems Laboratory, Stanford University, Stanford, Technical report CSL-TR-92-524 (1992)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2000 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Derks, W., Dijkstra, S., Jonker, W., Wijnands, J. (2000). Assessment of Scaleable Database Architectures for CDR Analysis. In: Jonker, W. (eds) Databases in Telecommunications. DBTel 1999. Lecture Notes in Computer Science, vol 1819. Springer, Berlin, Heidelberg. https://doi.org/10.1007/10721056_10
Download citation
DOI: https://doi.org/10.1007/10721056_10
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-67667-6
Online ISBN: 978-3-540-45100-6
eBook Packages: Springer Book Archive