A MILP-based heuristic for energy-aware traffic engineering with shortest path routing
INOC'11 Proceedings of the 5th international conference on Network optimization
Identifying and using energy-critical paths
Proceedings of the Seventh COnference on emerging Networking EXperiments and Technologies
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Energy efficient online routing of flows with additive constraints
Computer Networks: The International Journal of Computer and Telecommunications Networking
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Computer Networks: The International Journal of Computer and Telecommunications Networking
Routing on demand: toward the energy-aware traffic engineering with OSPF
IFIP'12 Proceedings of the 11th international IFIP TC 6 conference on Networking - Volume Part I
Energy-aware IP traffic engineering with shortest path routing
Computer Networks: The International Journal of Computer and Telecommunications Networking
Computer Networks: The International Journal of Computer and Telecommunications Networking
Greening data center networks with throughput-guaranteed power-aware routing
Computer Networks: The International Journal of Computer and Telecommunications Networking
Sleep modes effectiveness in backbone networks with limited configurations
Computer Networks: The International Journal of Computer and Telecommunications Networking
A study towards applying thermal inertia for energy conservation in rooms
ACM Transactions on Sensor Networks (TOSN)
A survey on techniques for improving the energy efficiency of large-scale distributed systems
ACM Computing Surveys (CSUR)
A survey on Green communications using Adaptive Link Rate
Cluster Computing
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ACM SIGMETRICS Performance Evaluation Review
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IEEE/ACM Transactions on Networking (TON)
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Current network infrastructures exhibit poor power efficiency, running network devices at full capacity all the time regardless of the traffic demand and distribution over the network. Most research on router power management are at component level or link level, treating routers as isolated devices. A complementary approach is to facilitate power management at network level by routing traffic through different paths to adjust the workload on individual routers or links. Given the high path redundancy and low link utilization in today's large networks, this approach can potentially allow more network devices or components to go into power saving mode. This paper proposes an intra-domain traffic engineering mechanism, GreenTE, which maximizes the number of links that can be put into sleep under given performance constraints such as link utilization and packet delay. Using network topologies and traffic data from several wide-area networks, our evaluation shows that GreenTE can reduce line-cards' power consumption by 27% to 42% under constraints that the maximum link utilization is below 50% and the network diameter remains the same as in shortest path routing.