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A stochastic calculus for network systems with renewable energy sources

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3 Author(s)
Kui Wu ; Dept. of Computer Science, University of Victoria, British Columbia, Canada ; Yuming Jiang ; Dimitri Marinakis

We consider the performance modeling and evaluation of network systems powered with renewable energy sources such as solar and wind energy. Such energy sources largely depend on environmental conditions, which are hard to predict accurately. As such, it may only make sense to require the network systems to support a soft quality of service (QoS) guarantee, i.e., to guarantee a service requirement with a certain high probability. In this paper, we build a solid mathematical foundation to help better understand the stochastic energy constraint and the inherent correlation between QoS and the uncertain energy supply. We utilize a calculus approach to model the cumulative amount of charged energy and the cumulative amount of consumed energy. We derive upper and lower bounds on the remaining energy level based on a stochastic energy charging rate and a stochastic energy discharging rate. By building the bridge between energy consumption and task execution (i.e., service), we study the QoS guarantee under the constraint of uncertain energy sources.

Published in:

Computer Communications Workshops (INFOCOM WKSHPS), 2012 IEEE Conference on

Date of Conference:

25-30 March 2012