Title :
Saving Energy in Data Center Infrastructures
Author :
Ricciardi, Sergio ; Careglio, Davide ; Santos-Boada, Germán ; Solé-Pareta, Josep ; Fiore, Ugo ; Palmieri, Francesco
Author_Institution :
Dept. d´´Arquitectura de Computadors, Univ. Politec. de Catalunya, Barcelona, Spain
Abstract :
At present, data centers consume a considerable percentage of the worldwide produced electrical energy, equivalent to the electrical production of 26 nuclear power plants, and such energy demand is growing at fast pace due to the ever increasing data volumes to be processed, stored and accessed every day in the modern grid and cloud infrastructures. Such energy consumption growth scenario is clearly not sustainable and it is necessary to limit the data center power budget by controlling the absorbed energy while keeping the desired level of service. In this paper, we describe Energy Farm, a data center energy manager that exploits load fluctuations to save as much energy as possible while satisfying quality of service requirements. Energy Farm achieves energy savings by aggregating traffic during low load periods and temporary turning off a subset of computing resources. Energy Farm respects the logical and physical dependencies of the interconnected devices in the data center and performs automatic shut down even in emergency cases such as temperature peaks and power leakages. Results show that high resource utilization efficiency is possible in data center infrastructures and that huge savings in terms of energy (MWh), emissions (tons of CO2) and costs (kε) are achievable.
Keywords :
computer centres; energy conservation; energy management systems; power aware computing; Energy Farm; cloud infrastructure; data center energy manager; data center infrastructure; data center power budget; electrical energy; electrical production; energy consumption growth scenario; energy demand; energy saving; load fluctuation; nuclear power plant; quality of service; resource utilization efficiency; Energy consumption; Green products; Power demand; Safety; Servers; Switches; Telecommunication traffic; Energy-efficiency; cloud computing; green data centers; grid computing; power management; sleep mode;
Conference_Titel :
Data Compression, Communications and Processing (CCP), 2011 First International Conference on
Conference_Location :
Palinuro
Print_ISBN :
978-1-4577-1458-0
Electronic_ISBN :
978-0-7695-4528-8