"Geographic Load Balancing" is a strategy for reducing the energy cost of data centers spreading across different terrestrial locations. In this paper, we focus on load balancing among micro-datacenters powered by renewable energy sources. We model via a Markov Chain the problem of scheduling jobs by prioritizing datacenters where renewable energy is currently available. Not finding a convenient closed form solution for the resulting chain, we use mean field techniques to derive an asymptotic approximate model which instead is shown to have an extremely simple and intuitive steady state solution. After proving, using both theoretical and discrete event simulation results, that the system performance converges to the asymptotic model for an increasing number of datacenters, we exploit the simple closed form model's solution to investigate relationships and trade-offs among the various system parameters.

Neglia, G., Sereno, M., Bianchi, G. (2016). Geographical Load Balancing across green datacenters: A mean field analysis. In Performance Evaluation Review (pp.64-69). Association for Computing Machinery [10.1145/3003977.3003998].

Geographical Load Balancing across green datacenters: A mean field analysis

Bianchi G.
2016-01-01

Abstract

"Geographic Load Balancing" is a strategy for reducing the energy cost of data centers spreading across different terrestrial locations. In this paper, we focus on load balancing among micro-datacenters powered by renewable energy sources. We model via a Markov Chain the problem of scheduling jobs by prioritizing datacenters where renewable energy is currently available. Not finding a convenient closed form solution for the resulting chain, we use mean field techniques to derive an asymptotic approximate model which instead is shown to have an extremely simple and intuitive steady state solution. After proving, using both theoretical and discrete event simulation results, that the system performance converges to the asymptotic model for an increasing number of datacenters, we exploit the simple closed form model's solution to investigate relationships and trade-offs among the various system parameters.
18th Workshop on MAthematical Performance Modeling and Analysis, MAMA 2016 and 2016 Greenmetrics Workshop
Congress Center, fra
2016
Rilevanza internazionale
2016
Settore ING-INF/03 - TELECOMUNICAZIONI
English
Data centers; Energy efficiency; Fluid models; Geographical Load Balancing
Intervento a convegno
Neglia, G., Sereno, M., Bianchi, G. (2016). Geographical Load Balancing across green datacenters: A mean field analysis. In Performance Evaluation Review (pp.64-69). Association for Computing Machinery [10.1145/3003977.3003998].
Neglia, G; Sereno, M; Bianchi, G
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2108/240078
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