Data networks
Online multicast routing with bandwidth guarantees: a new approach using multicast network flow
IEEE/ACM Transactions on Networking (TON)
Optimizing cost and performance for multihoming
Proceedings of the 2004 conference on Applications, technologies, architectures, and protocols for computer communications
Network sensitivity to hot-potato disruptions
Proceedings of the 2004 conference on Applications, technologies, architectures, and protocols for computer communications
Dynamic load balancing without packet reordering
ACM SIGCOMM Computer Communication Review
Reducing network energy consumption via sleeping and rate-adaptation
NSDI'08 Proceedings of the 5th USENIX Symposium on Networked Systems Design and Implementation
Energy-aware traffic engineering
Proceedings of the 1st International Conference on Energy-Efficient Computing and Networking
An overview of routing optimization for internet traffic engineering
IEEE Communications Surveys & Tutorials
MPLS and traffic engineering in IP networks
IEEE Communications Magazine
Traffic engineering with traditional IP routing protocols
IEEE Communications Magazine
Optimizing OSPF/IS-IS weights in a changing world
IEEE Journal on Selected Areas in Communications
Power consumption and energy efficiency in the internet
IEEE Network: The Magazine of Global Internetworking
Enabling backbone networks to sleep
IEEE Network: The Magazine of Global Internetworking
Energy-aware IP traffic engineering with shortest path routing
Computer Networks: The International Journal of Computer and Telecommunications Networking
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One of the main challenges in the Future Internet era will be the increase of QoS-demanding applications that need to be supported. Unavoidably, this will lead to increased traffic that has to be served by the deployed networks. Moreover, the energy consumption and the configuration/management complexity will be significantly increased, too. Current network infrastructures and their associated management systems face problems in keeping up with such stringent requirements. Therefore, it is essential to reconsider the design and the management of the Future Networks. An important goal in this direction is to achieve the best ratio of performance to energy consumption and at the same time assure manageability. This paper presents a general theoretical problem formulation for Energy-Aware Traffic Engineering and a distributed Traffic Engineering scheme (ETE), inspired by the previous formulation, that provides load balancing and energy-awareness in accordance with the operator's needs. Results from trace-driven simulations confirm the capability of ETE to meeting the needs of Future Networks.