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

fYear

2011

fDate

Aug. 31 2011-Sept. 2 2011

Firstpage

615

Lastpage

620

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;

fLanguage

English

Publisher

ieee

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

Type

conf

DOI

10.1109/CIT.2011.107

Filename

6036834