Abstract
In this paper, we study the issue of minimizing the total energy cost for green cloud data centers with time varying and location varying electricity prices and supply of renewable energy. Given the budget of energy cost, schedule the requests, servers, and power usage of different sources, such that the total cost can be minimized. We formulate the problem during the whole period of time as an MILP problem. We use Cplex to solve the problem. Experiment shows that our method can significantly reduce total cost after using ESDs.
| Original language | English |
|---|---|
| Title of host publication | 2015 IEEE 34th International Performance Computing and Communications Conference, IPCCC 2015 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| ISBN (Electronic) | 9781467385909 |
| DOIs | |
| State | Published - 17 Feb 2016 |
| Externally published | Yes |
| Event | 34th IEEE International Performance Computing and Communications Conference, IPCCC 2015 - Nanjing, China Duration: 14 Dec 2015 → 16 Dec 2015 |
Publication series
| Name | 2015 IEEE 34th International Performance Computing and Communications Conference, IPCCC 2015 |
|---|
Conference
| Conference | 34th IEEE International Performance Computing and Communications Conference, IPCCC 2015 |
|---|---|
| Country/Territory | China |
| City | Nanjing |
| Period | 14/12/15 → 16/12/15 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
Keywords
- Carbon Emissions
- Data Center
- Energy Storage Devices
- Green Scheduling
- Renewable Energy
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