Multiple Many-To-Many Multicast Routing Scheme in Green Multi-Granularity Transport Networks
Abstract
Due to the ubiquitous use of the Internet and huge proliferation of network devices, the energy consumed by today's networks has increased significantly, implying the need for designing and operating green networks. In this paper, we propose a power-efficient Quality of Service (QoS) routing scheme for multiple many-to-many multicast requests with given static traffic demands in green multi-granularity transport networks, which comprehensively considers both the IP and the optical layers. A chosen probability model is devised to describe the probability of a link being selected when routing, and a heuristic routing algorithm is proposed to construct multiple many-to-many multicast trees in order to decrease power consumption, enhance QoS evaluation and improve resource utilization evaluation under QoS and capacity constraints. Results from simulation experiments demonstrate that our proposed scheme is more power-efficient with higher QoS evaluation and better resource utilization compared with others.
Recommended Citation
X. Wang et al., "Multiple Many-To-Many Multicast Routing Scheme in Green Multi-Granularity Transport Networks," Computer Networks, vol. 93, pp. 225 - 242, Elsevier, Dec 2015.
The definitive version is available at https://doi.org/10.1016/j.comnet.2015.10.015
Department(s)
Computer Science
Keywords and Phrases
Multicasting; Quality of service; Routing protocols; Trees (mathematics); Many to many; Power efficiency; Resource utilizations; Routing; Transport networks; Network routing; Green multi-granularity transport networks; Multiple many-to-many multicast; QoS
International Standard Serial Number (ISSN)
1389-1286
Document Type
Article - Journal
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 2015 Elsevier, All rights reserved.
Publication Date
01 Dec 2015
Comments
This work is supported by the National Science Foundation for Distinguished Young Scholars of China under Grant No. 61225012 and No. 71325002; the National Natural Science Foundation of China under Grant No. 61572123 ; the Specialized Research Fund of the Doctoral Program of Higher Education for the Priority Development Areas under Grant No. 20120042130003. The authors would like to thank the anonymous reviewers for their comments to improve the paper.