Using regression splines for software performance analysis

Subscribe (Full Service)


	Search: The ACM Digital Library The Guide

	Feedback

Using regression splines for software performance analysis

Full text

Pdf (1.36 MB)

Source

Workshop on Software and Performance archive
Proceedings of the 2nd international workshop on Software and performance table of contents

Ottawa, Ontario, Canada

Pages: 105 - 114

Year of Publication: 2000

ISBN:1-58113-195-X

Authors

Marc Courtois	Department of Systems & Computer Engineering, Carleton University, 1125 Colonel By Drive, Ottawa, Canada K1S 5B6
Murray Woodside	Department of Systems & Computer Engineering, Carleton University, 1125 Colonel By Drive, Ottawa, Canada K1S 5B6

Sponsors

SIGSOFT: ACM Special Interest Group on Software Engineering
IFIP WG 6.3 : IFIP WG 6.3
SIGMETRICS: ACM Special Interest Group on Measurement and Evaluation
IFIP WG 7.3 : IFIP WG 7.3

Publisher

ACM New York, NY, USA

Bibliometrics

Downloads (6 Weeks): 6, Downloads (12 Months): 37, Citation Count: 2

Additional Information:

references cited by index terms collaborative colleagues

Tools and Actions:	Request Permissions Review this Article Save this Article to a Binder Display Formats: BibTeX EndNote ACM Ref

DOI Bookmark:	Use this link to bookmark this Article: http://doi.acm.org/10.1145/350391.350416 What is a DOI?

REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

	1	Booth, T.L. and Wiecek, C.A., "Performance Abstract Data Types as a Tool in Software Performance Analysis and Design", IEEE Transactions on Software Engineering, Vol.6, No.2, 1980, pp.138-151.
	2	S. Bayarov, Resource functions for model based performance analysis of distributed software systems, M. Eng. thesis, Carleton University, 1999.
	3	Efron, B., "Nonparametric Standard Errors and Confidence Intervals", The Canadian Journal of Statistics, Vol. 9, No. 2, 1981, pp.139-158.
	4	Friedman, J.H., "Flexible Parsimonious Smoothing and Additive Modeling", Technometrics, Vol. 31, No. 1, 1989, pp.3-39.
	5	Friedman, J.H., "Multivariate Adaptive Regression Splines", Annals of Statistics, Vol. 19, No. 1, 1991,pp.1- 141.
	6	Karen D. Gordon , Lawrence W. Dowdy, The impact of certain parameter estimation errors in queueing network models, ACM SIGMETRICS Performance Evaluation Review, v.9 n.2, p.3-9, Summer 1980
	7	R. Jain, The Art of Computer Systems Performance Analysis, Wiley, 1991.
	8	Daniel A. Menascé , Hassan Gomaa, On a language based method for software performance engineering of client/server systems, Proceedings of the 1st international workshop on Software and performance, p.63-69, October 12-16, 1998, Santa Fe, New Mexico, United States [doi>10.1145/287318.287331]
	9	Neter, J. and Wasserman W., Applied Linear Statistical Models,Regression, AnalysisofVariance,andExperimental Designs, Richard D. Irwin, 1974.
	10	Ennio Pozzetti , Giuseppe Serazzi , Vidar Vetland , Jerome A. Rolia, Characterizing the resource demands of TCP/IP, Proceedings of the International Conference and Exhibition on High-Performance Computing and Networking, p.79-85, May 03-05, 1995
	11	J. A. Rolia , K. C. Sevcik, The Method of Layers, IEEE Transactions on Software Engineering, v.21 n.8, p.689-700, August 1995 [doi>10.1109/32.403785]
	12	Schmidt, D.C., "The ADAPTIVE Communication Environment: Object-Oriented Network Programming Components for Developing Client/Server Applications", 11t h Sun User Group Conference, San Jose, Dec, 1993
	13	Schmidt, D.C., "ASX: An Object-Oriented Framework for Developing Distributed Applications", Proceedings of 6th USENIX C++ Conference, April 1994
	14	Connie U. Smith, Performance Engineering of Software Systems, Addison-Wesley Longman Publishing Co., Inc., Boston, MA, 1990
	15	Vetland, V., Measurement-Based Composite Computational Work Modelling of Software, PH.D. Thesis, University of Trondheim, April 1993
	16	Vetland, V. and Woodside, M., "A Workbench for Automation of Systematic Measurement of Resource Demands of Software Components", Carleton University technical report SCE-96-06.
	17	C. Murray Woodside , John E. Neilson , Dorina C. Petriu , Shikharesh Majumdar, The Stochastic Rendezvous Network Model for Performance of Synchronous Client-Server-like Distributed Software, IEEE Transactions on Computers, v.44 n.1, p.20-34, January 1995 [doi>10.1109/12.368012]
	18	Murray Woodside , Curtis Hrischuk , Bran Selic , Stefan Bayarov, A wideband approach to integrating performance prediction into a software design environment, Proceedings of the 1st international workshop on Software and performance, p.31-41, October 12-16, 1998, Santa Fe, New Mexico, United States [doi>10.1145/287318.287326]
	19	Zhiwei Xu , Kai Hwang, Modeling Communication Overhead: MPI and MPL Performance on the IBM SP2, IEEE Parallel & Distributed Technology: Systems & Technology, v.4 n.1, p.9-23, March 1996 [doi>10.1109/88.481662]

CITED BY 2

	Giovanni Pacifici , Wolfgang Segmuller , Mike Spreitzer , Asser Tantawi, CPU demand for web serving: Measurement analysis and dynamic estimation, Performance Evaluation, v.65 n.6-7, p.531-553, June, 2008
	Jens Happe , Holger Friedrich , Steffen Becker , Ralf H. Reussner, A pattern-based performance completion for Message-oriented Middleware, Proceedings of the 7th international workshop on Software and performance, June 23-26, 2008, Princeton, NJ, USA