A Stochastic Approach to Energy Cost Minimization in Smart-Grid-Enabled Data Center Network
| Autor: | Mohammad Reza Mirsarraf, T. Aaron Gulliver, Pejman Goudarzi, A. Ghassemi |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2019 |
| Předmět: |
Lyapunov function
Mathematical optimization Article Subject Computer Networks and Communications business.industry Computer science 020209 energy Quality of service Electricity pricing 020206 networking & telecommunications 02 engineering and technology lcsh:QA75.5-76.95 Power (physics) Renewable energy symbols.namesake Smart grid 0202 electrical engineering electronic engineering information engineering symbols Data center Minification lcsh:Electronic computers. Computer science business Information Systems |
| Zdroj: | Journal of Computer Networks and Communications, Vol 2019 (2019) |
| ISSN: | 2090-7141 |
| Popis: | We propose a Lyapunov drift-plus-penalty- (LDPP-) based algorithm to optimize the average power cost for a data center network. In particular, we develop an algorithm to minimize the operational cost using real-time electricity pricing with the integration of green energy resources from the smart grid. The LDPP technique can achieve significant energy cost savings under quality of service (QoS) constraints. Numerical results are presented to evaluate and validate our solution. These results illustrate significant operational/energy cost reductions for a data center network over the conventional approach which optimizes the predicted values of stochastic parameters under a fixed QoS constraint. |
| Databáze: | OpenAIRE |
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