Title :
Energy models driven green routing for data centers
Author :
Saha, Simanto ; Deogun, Jitender S. ; Lisong Xu
Author_Institution :
Dept. of Comput. Sci. & Eng., Univ. of Nebraska - Lincoln, Lincoln, NE, USA
Abstract :
Energy consumption is becoming a serious issue for data centers. Minimizing the energy consumption of a data center is a complex problem. It consists of developing energy models for servers and network elements and investigating energy-aware (green) routing strategies using these models. In this paper, we adapt energy models for servers and network elements in a data center. The server energy model incorporates the impact of temperature and voltage of a server on its leakage energy. Using the server and network energy models, we propose a green routing scheme that minimizes the total combined energy consumption of servers and network elements in a data center under dynamic traffic. The proposed green routing scheme uses dynamic voltage scaling, rate adaptation, and anycast transmission for minimizing the total energy consumption. Extensive simulation results validate the effectiveness of the proposed green routing in minimizing the total energy consumption of a data center as compared to well-known existing approaches.
Keywords :
computer centres; energy consumption; power aware computing; anycast transmission; data center; dynamic traffic; dynamic voltage scaling; energy consumption; energy-aware routing strategy; green routing strategy; leakage energy; network element; rate adaptation; server energy model; server temperature; server voltage;
Conference_Titel :
Global Communications Conference (GLOBECOM), 2012 IEEE
Conference_Location :
Anaheim, CA
Print_ISBN :
978-1-4673-0920-2
Electronic_ISBN :
1930-529X
DOI :
10.1109/GLOCOM.2012.6503497