TY - GEN
T1 - On energy- and cooling-aware data centre workload management
AU - Chisca, Danuta Sorina
AU - Castineiras, Ignacio
AU - Mehta, Deepak
AU - Osullivan, Barry
N1 - Publisher Copyright:
© 2015 IEEE.
PY - 2015/7/7
Y1 - 2015/7/7
N2 - 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.
AB - 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.
KW - Energy minimisation
KW - Local search
UR - https://www.scopus.com/pages/publications/84941248004
U2 - 10.1109/CCGrid.2015.141
DO - 10.1109/CCGrid.2015.141
M3 - Conference proceeding
AN - SCOPUS:84941248004
T3 - Proceedings - 2015 IEEE/ACM 15th International Symposium on Cluster, Cloud, and Grid Computing, CCGrid 2015
SP - 1111
EP - 1114
BT - Proceedings - 2015 IEEE/ACM 15th International Symposium on Cluster, Cloud, and Grid Computing, CCGrid 2015
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 15th IEEE/ACM International Symposium on Cluster, Cloud, and Grid Computing, CCGrid 2015
Y2 - 4 May 2015 through 7 May 2015
ER -