A framework for the greedy algorithm
Discrete Applied Mathematics
Waveband switching for dynamic traffic demands in multigranular optical networks
IEEE/ACM Transactions on Networking (TON)
A Low-power Low-cost Optical Router for Optical Networks-on-Chip in Multiprocessor Systems-on-Chip
ISVLSI '09 Proceedings of the 2009 IEEE Computer Society Annual Symposium on VLSI
Power efficient traffic grooming in optical WDM networks
GLOBECOM'09 Proceedings of the 28th IEEE conference on Global telecommunications
Green wave: latency and capacity-efficient sleep scheduling for wireless networks
INFOCOM'10 Proceedings of the 29th conference on Information communications
Saving energy in IP-over-WDM networks by switching off line cards in low-demand scenarios
ONDM'10 Proceedings of the 14th conference on Optical network design and modeling
Integrating preference analysis and balanced scorecard to product planning house of quality
Computers and Industrial Engineering
Energy saving and cost reduction in multi-granularity green optical networks
Computer Networks: The International Journal of Computer and Telecommunications Networking
A new multi-granularity grooming algorithm based on traffic partition in IP over WDM networks
Computer Networks: The International Journal of Computer and Telecommunications Networking
A distributed decision making model for risk management of virtual enterprise
Expert Systems with Applications: An International Journal
Biogeography-Based Optimization
IEEE Transactions on Evolutionary Computation
Dynamic routing at different layers in IP-over-WDM networks - Maximizing energy savings
Optical Switching and Networking
IEEE Journal on Selected Areas in Communications
| Hi-index | 0.00 |
With the development of IP networks and intelligent optical switch networks, the backbone network tends to be a multi-granularity transport one. In a multi-granularity transport network (MTN), due to the rapid growth of various applications, the scale and complexity of network devices are significantly enhanced. Meanwhile, to deal with bursty IP traffic, the network devices need to provide continuous services along with excessive power consumption. It has attracted wide attention from both academic and industrial communities to build a power-efficient MTN. In this paper, we design an effective node structure for MTN. Considering the power savings on both IP and optical transport layers, we propose a mathematical model to achieve a cross-layer optimization objective for power-efficient MTN. Since this optimization problem is NP-hard (Hasan et al. (2010) [11]) and heuristic or intelligent optimization algorithms have been successfully applied to solve such kinds of problems in many engineering domains (Huang et al. (2011) [13], Li et al. (2011) [17] and Dong et al. (2011) [5]), a Green integrated Routing and Grooming algorithm based on Biogeography-Based Optimization (Simon (2008) [23]) (GRG_BBO) is also presented. The simulation results demonstrate that, compared with the other BBO based and state-of-the-art power saving approaches, GRG_BBO improves the power savings at a rate between 2%-15% whilst the high-level multi-user QoS (Quality of Services) satisfaction degree (MQSD) is guaranteed. GRG_BBO is therefore an effective technique to build a power-efficient MTN.