| Title |
Resource Scheduling For Energy-Efficient In Cloud-Computing Data Centers |
| ID_Doc |
46098 |
| Authors |
Xu S.; Liu L.; Cui L.; Chang X.; Li H. |
| Year |
2019 |
| Published |
Proceedings - 20th International Conference on High Performance Computing and Communications, 16th International Conference on Smart City and 4th International Conference on Data Science and Systems, HPCC/SmartCity/DSS 2018 |
| DOI |
http://dx.doi.org/10.1109/HPCC/SmartCity/DSS.2018.00131 |
| Abstract |
As an effective and efficient way to consolidate computing resources and computing services, cloud computing has been more and more popular. However, radically increasing of requests exert tremendous pressure on the cloud computing center and generate adverse impact on quality of service. In this case, more servers are deployed to provide quality service. One challenge is how to minimize energy consumption as long-running bring enormous energy consumption to infrastructure service providers. From a different perspective, this paper transforms the conflict between quality of service and energy consumptions into one between profits and costs in this paper. Appropriate loss of QoS is allowed as long as the benefits of cloud service providers can be maximized. To this end, this paper proposes a novel scheduling scheme for data center, in which a contest model has been developed. The performance of the proposed scheme is evaluated in terms of scheduling strategies under different system configurations and user traffic. The results indicate the feasibility of the proposed scheme. © 2018 IEEE. |
| Author Keywords |
Energy-Efficient; Game Theory; Resource Scheduling; Tullock Contests |
