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Proceedings of the 2nd ACM SIGCOMM Workshop on Internet measurment
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IEEE/ACM Transactions on Networking (TON)
Energy-aware traffic engineering
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Proceedings of the Seventh COnference on emerging Networking EXperiments and Technologies
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Computer Networks: The International Journal of Computer and Telecommunications Networking
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Computer Networks: The International Journal of Computer and Telecommunications Networking
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Computer Networks: The International Journal of Computer and Telecommunications Networking
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Optical Switching and Networking
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Optical Switching and Networking
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Optical Switching and Networking
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Optical Switching and Networking
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Optical Switching and Networking
Minimizing ISP network energy cost: formulation and solutions
IEEE/ACM Transactions on Networking (TON)
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The present paper deals with energy saving in IP networks and proposes a distributed energy-aware traffic engineering solution, named DAISIES, for switching off network links according to traffic variations. DAISIES works in a connection-oriented network, e.g. an IP/MPLS network, and follows a routing-based approach, i.e. it acts on the routing algorithm whilst link switch-off/on are consequence of routing decisions. The basic idea is to re-compute the path of each traffic demand when its requested capacity changes. A specific cost function is used to compute link weights into the shortest path routing algorithm with the goal of keeping unused as many links as possible. The main advantages of DAISIES can be summarized as follows: (i) no changes are required to current routing and signaling protocols, (ii) packet loss is completely avoided, (iii) both traffic decreasing and increasing and changing network conditions are automatically managed, and (iv) link switch-off/on take place transparently to the routing protocol and to other nodes. The performance of the proposed solution is evaluated in terms of energy saving relative to a static network optimized to support the peak traffic. Results show that DAISIES is able to save about 30% of energy in several traffic conditions. Moreover, it is shown that it is possible keeping the additional complexity low and still reaching high energy efficiency.