Mechanism for Green Multicast Routing Protection in Multi-Granularity Transport Networks

Authors

Junling Shi, 1. College of Computer Science and Engineering, Northeastern University, Shenyang 110004, China;;
Xingwei Wang, 1. College of Computer Science and Engineering, Northeastern University, Shenyang 110004, China;;2. College of Software, Northeastern University, Shenyang 110004, China;;
Huang Min, 3. College of Information Science and Engineering, Northeastern University, Shenyang 110004, China;

Abstract

Abstract: A mechanism for green multicast routing protection was designed, where the constraint of quality of service (QoS), energy consumption and the survivability to single link or node failure were under consideration. The node model which supported the exchange of multi-granularity services was built to meet the energy saving requirement in multi-granularity services, and the analysis of energy consumption was introduced with the formulas of energy consumption defined. Based on the physical topology, a multi-layer auxiliary graph was proposed, which was used to allocate and release resources. The fuzzy mathematics method was used to present QoS by the membership degree. The cuckoo optimization algorithm was applied to compute the multicast tree and the 1+1 dedicated protection, 1:1 dedicated protection and m:n shared protection were provided according to the protection level requirement of the service. Simulation and performance analysis show that the mechanism is feasible and effective.

Recommended Citation

Shi, Junling; Wang, Xingwei; and Min, Huang (2020) "Mechanism for Green Multicast Routing Protection in Multi-Granularity Transport Networks," Journal of System Simulation: Vol. 28: Iss. 3, Article 31.
Available at: https://dc-china-simulation.researchcommons.org/journal/vol28/iss3/31

First Page

733

Revised Date

2014-10-24

DOI Link

https://doi.org/

Last Page

740

CLC

TP393

Recommended Citation

Shi Junling, Wang Xingwei, Huang Min. Mechanism for Green Multicast Routing Protection in Multi-Granularity Transport Networks[J]. Journal of System Simulation, 2016, 28(3): 733-740.