Joint Energy-QoE Efficient Content Delivery Networks Using Real-Time Energy Management
| Autor: | Rajkumar Buyya, A. Ghassemi, Mohammad Reza Mirsarraf, Pejman Goudarzi |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
Mathematical optimization
021103 operations research Optimization problem Computational complexity theory Linear programming Computer Networks and Communications Energy management Computer science 0211 other engineering and technologies Content delivery network 02 engineering and technology Computer Science Applications symbols.namesake Smart grid Control and Systems Engineering Nash equilibrium Computer Science::Networking and Internet Architecture symbols Electrical and Electronic Engineering Game theory Information Systems |
| Zdroj: | IEEE Systems Journal. 14:927-938 |
| ISSN: | 2373-7816 1932-8184 |
| DOI: | 10.1109/jsyst.2019.2924186 |
| Popis: | In this paper, a joint optimization method has been proposed for energy cost and the user's perceived quality-of-experience (QoE) within a content delivery network (CDN). The proposed algorithm has been developed with an objective to minimize the total operational cost using real-time electricity pricing as well as the integration of green energy resources from the smart grid. To solve the joint optimization problem, a linear programming and a differential evolution algorithm have been used to provide a tradeoff between operational cost saving and computational complexity. We also formulate the joint problem as a noncooperative game in which the CDN providers act as players. A group utility function has been defined for the players and it is shown that a Nash equilibrium exists for the joint quality and energy cost saving when each CDN provider has single cluster or multiple clusters. Numerical results are presented to evaluate and validate the aforementioned solutions. These results illustrate significant operational/energy cost reductions while optimizing user's perceived QoE for a CDN or multiple CDN providers with respect to conventional methods. |
| Databáze: | OpenAIRE |
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