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In multi-hour network design, periodic traffic variations along time are considered in the dimensioning process.
The first approach attempts to design a static topology that can accommodate all the traffic variations over time.
In particular, two very important issues that may be affected by green networking techniques are resilience to node and link failures, and robustness to traffic variations.
On the other hand, Dynamic Load Balancing (DLB) balances traffic among multiple paths in an on-line reactive fashion, adapting to traffic variations in order to optimize a certain congestion function.
A detailed investigation of highway traffic variations i.e. total traffic, passenger car and truck traffic with severity of cold, the amount of snow, and various combinations of cold and snow intensities is presented here.
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.
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Our method predicts the longer-term traffic variation from the monitored traffic data.
We then take account of the short-term traffic variation in order to accommodate prediction uncertainty incurred by temporal traffic changes and prediction errors.
In this paper, we propose a novel approach to save energy in IP-over-WDM networks by shutting down idle line cards and chassis of routers based on time-of-the-day network traffic variation.
Taking into account the connection between base network design and network operation, CLOD dimensions the base network by using pattern of network operation and optimizes network power consumption by reconfiguring network to adapt traffic variation and the available resources.
Through the simulation using actual traffic traces on a backbone network of Internet2, we show that traffic engineering using the traffic information predicted by our method can set up routes that accommodate traffic variation for several or more hours with efficient load balancing.
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