TY - CHAP
T1 - Energy cost minimisation of geographically distributed data centres
AU - Castineiras, Ignacio
AU - Mehta, Deepak
AU - O'Sullivan, Barry
N1 - Publisher Copyright:
© 2015 IEEE.
PY - 2015/11/20
Y1 - 2015/11/20
N2 - In this paper we present a Mixed Integer Programming-based (MIP) approach to optimise the workload allocation of geographically distributed Data Centres (DCs) in the face of dynamic DC performances and electricity prices. We reduce the overall electricity cost for running a DC set over an operating horizon by finding a good compromise between: The number of migrations subject to the sovereignty of data, the loads of the servers in DCs and the energy cost reduction possible by following the DCs with best performance and energy efficiencies over time. To model the DC performance we use Power Usage Effectiveness (PUE), with a devoted function per DC dependent on the current outside temperature. We discuss the multiple dimensions of the problem, present a mathematical formulation for it and provide empirical evaluation to claim the improvement on the electricity cost achieved.
AB - In this paper we present a Mixed Integer Programming-based (MIP) approach to optimise the workload allocation of geographically distributed Data Centres (DCs) in the face of dynamic DC performances and electricity prices. We reduce the overall electricity cost for running a DC set over an operating horizon by finding a good compromise between: The number of migrations subject to the sovereignty of data, the loads of the servers in DCs and the energy cost reduction possible by following the DCs with best performance and energy efficiencies over time. To model the DC performance we use Power Usage Effectiveness (PUE), with a devoted function per DC dependent on the current outside temperature. We discuss the multiple dimensions of the problem, present a mathematical formulation for it and provide empirical evaluation to claim the improvement on the electricity cost achieved.
UR - https://www.scopus.com/pages/publications/84960951905
U2 - 10.1109/CloudNet.2015.7335322
DO - 10.1109/CloudNet.2015.7335322
M3 - Chapter
AN - SCOPUS:84960951905
T3 - 2015 IEEE 4th International Conference on Cloud Networking, CloudNet 2015
SP - 279
EP - 284
BT - 2015 IEEE 4th International Conference on Cloud Networking, CloudNet 2015
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 4th IEEE International Conference on Cloud Networking, CloudNet 2015
Y2 - 5 October 2015 through 7 October 2015
ER -
