A New Algorithm for the End-to-End Delay Bound Based on Statistical Network Calculus
Authors
Y.Z Zhao
Corresponding Author
Y.Z Zhao
Available Online June 2015.
- DOI
- 10.2991/cisia-15.2015.19How to use a DOI?
- Keywords
- aggregate traffic; statistical network calculus; moment generating function
- Abstract
In order to analyze the delay performance of aggregate traffic, this paper proposes a new algorithm for the End-To-End statistical delay bound of Converged Network with aggregate flows using the theorem of the moment generating function. The results show the algorithm has more Effectiveness and Superiority , it could provide a design reference for the performance evaluation.
- Copyright
- © 2015, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Y.Z Zhao PY - 2015/06 DA - 2015/06 TI - A New Algorithm for the End-to-End Delay Bound Based on Statistical Network Calculus BT - Proceedings of the International Conference on Computer Information Systems and Industrial Applications PB - Atlantis Press SP - 71 EP - 74 SN - 2352-538X UR - https://doi.org/10.2991/cisia-15.2015.19 DO - 10.2991/cisia-15.2015.19 ID - Zhao2015/06 ER -