Title :
A Review on Task Performance Prediction in Multi-core Based Systems
Author :
Pinel, Frédéric ; Pecero, Johnatan E. ; Bouvry, Pascal ; Khan, Samee U.
Author_Institution :
Comput. Sci. & Commun. Res. Unit, Univ. of Luxembourg, Luxembourg, Luxembourg
fDate :
Aug. 31 2011-Sept. 2 2011
Abstract :
Operators of data centers are faced with the challenging goal of hosting applications that meet agreed service levels, at minimal operating costs. A significant part of these costs is energy related. Successfully reaching this goal requires optimal task-to-machine assignments. This activity relies on accurate energy and performance prediction. Widespread use of multi-core, multi-processor machines complicate past prediction methods. Therefore, this paper suggests to revisit task profiling, a method based on observations of actual task execution. As a first step in this direction, this paper reviews methods for task profiling, which account for the contention present in multi-core processors.
Keywords :
computer centres; multiprocessing systems; performance evaluation; data centers; multicore based systems; multiprocessor machines; task performance prediction; task profiling; task-to-machine assignments; Computational modeling; Instruction sets; Operating systems; Predictive models; Processor scheduling; Runtime; energy-efficiency; performance of system; scalable architectures; task profiling;
Conference_Titel :
Computer and Information Technology (CIT), 2011 IEEE 11th International Conference on
Conference_Location :
Pafos
Print_ISBN :
978-1-4577-0383-6
Electronic_ISBN :
978-0-7695-4388-8
DOI :
10.1109/CIT.2011.107
