Title :
Energy aware colocation of workload in data centers
Author :
Pore, Madhurima ; Abbasi, Zeinab ; Gupta, Sandeep K. S. ; Varsamopoulos, Georgios
Author_Institution :
Sch. of Comput., Inf. & Decision Syst. Eng., Impact Lab., Tempe, AZ, USA
Abstract :
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%.
Keywords :
computer centres; power aware computing; resource allocation; application colocation; application energy consumption; application workload type; application-aware colocation management policy; data center; energy aware workload colocation; energy savings; interference coefficient; interference energy consumption; Energy efficient colocation; energy proportionality and Data center energy efficiency;
Conference_Titel :
High Performance Computing (HiPC), 2012 19th International Conference on
Conference_Location :
Pune
Print_ISBN :
978-1-4673-2372-7
Electronic_ISBN :
978-1-4673-2370-3
DOI :
10.1109/HiPC.2012.6507527
