Choosing an accurate network path model

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Choosing an accurate network path model

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Joint International Conference on Measurement and Modeling of Computer Systems archive
Proceedings of the 2003 ACM SIGMETRICS international conference on Measurement and modeling of computer systems table of contents

San Diego, CA, USA

POSTER SESSION: Poster presentations table of contents

Pages: 314 - 315

Year of Publication: 2003

ISBN:1-58113-664-1

Also published in ...

Authors

Almudena Konrad	University of California at Berkeley
Anthony D. Joseph	University of California at Berkeley

Sponsor

ACM: Association for Computing Machinery

Publisher

ACM New York, NY, USA

Bibliometrics

Downloads (6 Weeks): 14, Downloads (12 Months): 36, Citation Count: 1

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ABSTRACT

We present a novel domain analysis methodology that enables network researchers to quickly select the most accurate modeling and analysis method or methods for a given wired or wireless network path and network characteristic of interest e.g., delay, loss, or error process). Our approach includes two classical models, and two data preconditioning models developed in the Tapas project.

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	A. Konrad and A. D. Joseph. Choosing an accurate network path model. Technical report,UCB//CSD-03-1236, UC Berkeley, 2003.
	2	Almudena Konrad , Ben Y. Zhao , Anthony D. Joseph , Reiner Ludwig, A Markov-based channel model algorithm for wireless networks, Proceedings of the 4th ACM international workshop on Modeling, analysis and simulation of wireless and mobile systems, p.28-36, July 2001, Rome, Italy [doi>10.1145/381591.381602]
	3	Reiner Ludwig , Almudena Konrad , Anthony D. Joseph, Optimizing the end-to-end performance of reliable flows over wireless links, Proceedings of the 5th annual ACM/IEEE international conference on Mobile computing and networking, p.113-119, August 15-19, 1999, Seattle, Washington, United States [doi>10.1145/313451.313513]
	4	I. L. MacDonald and W. Zucchini. Hidden Markov and Other Models for Discrete-valued Time Series. 1997.