Abstract
Multi-Services IP Networks are being required to deliver unprecedented high volumes of diverse traffic that span two ends of the reliability requirements spectrum. On one end of the spectrum real-time services such as voice and real time TV require high sensitivity to delays and jitter. On the other end of the spectrum best effort services such as data content delivery services requires zero traffic losses and traffic integrity. This paper focuses on investigating the challenges of measuring the end to end service availability given the different layers of resilience in the hierarchical network architecture. It proposes a layered approach to modeling and measurement of multi-services IP networks from which composite availability/reliability estimation models combining convoluted levels of fault resilience can be derived. The resulting models can be readily used to show a Service Level Agreement reliability measure is met from both the service provider and the end user standpoints.
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Buchholz, P., Ciardo, G.: Tutorial on Structured analysis of Markov chains. In: 1st International Conference on the Quantitative Evaluation of Systems (QEST 2004), University of Twente, Enschede, The Netherlands (September 2004)
Bynum, R.: Generic Data Communications Services Models. IEEE 10GigE p802.3ae and EFM 802.3ah Task Forces (June 2001)
IETF group work on IP over Resilient Packet Rings (iporpr), http://www1.ietf.org/html.charters/iporpr-charter.html
Liu, Y., Trivedi, K.S.: A General Framework for Network Survivability Quantification. In: 12th GI/ITG Conference on Measuring, Modeling and Evaluation of Computer and Communication Systems (MMB) and 3rd Polish-German Telegraphic Symposium (PGTS), Dresden, Germany (September 2004)
Liu, Y., Mendiratta, V.B., Trivedi, K.S.: Survivability Analysis of Telephone Access Network. In: 15th IEEE International Symposium on Software Reliability Engineering (ISSRE 2004), Saint-Malo, Bretagne, France (November 2004)
Muppala, J., Fricks, R., Trivedi, K.S.: Techniques for System Dependability Evaluation. In: Grassman, W. (ed.) Computational Probability, pp. 445–480. Kluwer Academic Publishers, The Netherlands (2000)
Telcordia GR-512-CORE (2) (1998); GR-929-CORE (8) (2002)
Tortorella, M.: Reliability Challenges of Converged Networks and Packet-Based Services. Industrial Engineering Working Paper, February 5 (2003)
Trivedi, K.S.: Probability and Statistics with Reliability, Queuing and Computer Science Applications, 2nd edn. John Wiley &Sons Publisher, Chichester (2002)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2006 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Benlarbi, S. (2006). Estimating SLAs Availability/Reliability in Multi-services IP Networks. In: Penkler, D., Reitenspiess, M., Tam, F. (eds) Service Availability. ISAS 2006. Lecture Notes in Computer Science, vol 4328. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11955498_3
Download citation
DOI: https://doi.org/10.1007/11955498_3
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-68724-5
Online ISBN: 978-3-540-68725-2
eBook Packages: Computer ScienceComputer Science (R0)