Validation of multi-layer network optimization
Paper
Paper/Presentation Title | Validation of multi-layer network optimization |
---|---|
Presentation Type | Paper |
Authors | Peng, Yu, Lin, Rongping, Li, Fan, Xing, Chang, Guo, Jun, Hu, Wenjie, Abramov, Vyacheslav, Addie, Ronald G. and Zukerman, Moshe |
Journal or Proceedings Title | Proceedings of the 18th International Conference on Transparent Optical Networks (ICTON 2016) |
Article Number | 7550543 |
Number of Pages | 4 |
Year | 2016 |
Publisher | IEEE (Institute of Electrical and Electronics Engineers) |
ISSN | 2161-2064 |
ISBN | 9781509014675 |
Digital Object Identifier (DOI) | https://doi.org/10.1109/ICTON.2016.7550543 |
Web Address (URL) of Paper | https://ieeexplore.ieee.org/document/7550543 |
Web Address (URL) of Conference Proceedings | https://ieeexplore.ieee.org/xpl/conhome/7546549/proceeding |
Conference/Event | 18th International Conference on Transparent Optical Networks (ICTON 2016) |
Event Details | 18th International Conference on Transparent Optical Networks (ICTON 2016) Parent International Conference on Transparent Optical Networks Delivery Online Event Date 10 to end of 14 Jul 2016 Event Location Trento, Italy |
Abstract | We consider the problem of routing and resource allocation in a multi-layer network loaded by a combination of constant bit-rate (CBR) and variable bit-rate (VBR) traffic streams. One scalable heuristic method that addresses this problem is the multi-layer market algorithm (MMA). In this paper we focus on two validation benchmarks of MM A by Integer Linear Programming (ILP). The first is based on the principle of peak rate allocation (all CBR), and the second is a modification of the first that also considers statistical multiplexing suited for inclusion of VBR traffic. The accuracy of MMA is then demonstrated for a small size problem amenable to ILP solution. In addition, we briefly discuss our recently developed method, based on the accounting principle of double-entry bookkeeping, used for verification of MMA correctness. |
Keywords | integer linear programming (ILP); long-range dependent (LRD); multi-layer network optimization; Poisson Pareto burst process (PPBP); statistical multiplexing |
Article Publishing Charge (APC) Funding | Other |
Contains Sensitive Content | Does not contain sensitive content |
ANZSRC Field of Research 2020 | 400604. Network engineering |
Public Notes | File reproduced in accordance with the copyright policy of the publisher/author. |
Byline Affiliations | City University of Hong Kong, China |
University of Electronic Science and Technology of China, China | |
Swinburne University of Technology |
https://research.usq.edu.au/item/wxxz3/validation-of-multi-layer-network-optimization
Download files
42
total views30
total downloads3
views this month2
downloads this month