TY - GEN
T1 - Energy aware colocation of workload in data centers
AU - Pore, Madhurima
AU - Abbasi, Zahra
AU - Gupta, Sandeep
AU - Varsamopoulos, Georgios
PY - 2012/12/1
Y1 - 2012/12/1
N2 - There exists an interference due to colocating applications which depends on the applications' workload types, degrades the performance and affects the energy consumption of applications. We hypothesize the interference energy consumption and model it as 'interference coefficient' and use it to develop an application-aware colocation management policy to colocate the applications in data centers. Including the interference effect in simulations using synthetic workload in the colocation management policy results energy savings of up to 8%.
AB - There exists an interference due to colocating applications which depends on the applications' workload types, degrades the performance and affects the energy consumption of applications. We hypothesize the interference energy consumption and model it as 'interference coefficient' and use it to develop an application-aware colocation management policy to colocate the applications in data centers. Including the interference effect in simulations using synthetic workload in the colocation management policy results energy savings of up to 8%.
KW - Energy efficient colocation
KW - energy proportionality and Data center energy efficiency
UR - http://www.scopus.com/inward/record.url?scp=84880265954&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84880265954&partnerID=8YFLogxK
U2 - 10.1109/HiPC.2012.6507527
DO - 10.1109/HiPC.2012.6507527
M3 - Conference contribution
AN - SCOPUS:84880265954
SN - 9781467323703
T3 - 2012 19th International Conference on High Performance Computing, HiPC 2012
BT - 2012 19th International Conference on High Performance Computing, HiPC 2012
T2 - 2012 19th International Conference on High Performance Computing, HiPC 2012
Y2 - 18 December 2012 through 21 December 2012
ER -