Title :
On Energy- and Cooling-Aware Data Centre Workload Management
Author :
Chisca, Danuta Sorina ; Castineiras, Ignacio ; Mehta, Deepak ; O´Sullivan, Barry
Author_Institution :
Alma Mater Studiorum, Univ. di Bologna, Bologna, Italy
Abstract :
The power consumption of a data centre (DC)can be attributed to the power consumed for running the servers and to the computer room air conditioner (CRAC)power for cooling them. The challenge is to distribute the load among servers, controlling the number of active servers and optimally balancing IT and cooling power requirement. This goal demands integration of thermal, power and workload models that minimises a non-linear energy utilisation function. In this paper first we encode this problem using a non-linear objective function and use local search for solving it. We carryout simulation experiments using data provided by the Bluesimtool. The results encourage the effectiveness of our approach, showing that system-wide energy utilisation can be reduced using a holistic approach.
Keywords :
air conditioning; computer centres; digital simulation; file servers; power aware computing; search problems; Bluesim tool; CRAC; DC; IT power requirement; active servers; computer room air conditioner power; cooling power requirement; cooling-aware data centre workload management; energy-aware data centre workload management; holistic approach; local search; nonlinear objective function; power consumption; power models; system-wide energy utilisation; thermal models; workload models; Computational modeling; Computers; Cooling; Heating; Linear programming; Power demand; Servers; Energy minimisation; local search;
Conference_Titel :
Cluster, Cloud and Grid Computing (CCGrid), 2015 15th IEEE/ACM International Symposium on
Conference_Location :
Shenzhen
DOI :
10.1109/CCGrid.2015.141