Predictive Mapping Framework in Heterogeneous Computing Environment (CROSBI ID 490356)
Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija
Podaci o odgovornosti
Martinović, Goran ; Budin, Leo ; Hocenski, Željko
engleski
Predictive Mapping Framework in Heterogeneous Computing Environment
Heterogeneity of computer environment allows execution of large diverse applications, but it also simultaneously aggravates mapping. Our paper presents a combined multi-criterial mapping based on the MEVSP model. Model parameters originate from the level of application, platform, mapping and user. The most suitable prediction methods are long-term performance prediction, short-term prediction of threshold violations and short-term predictions of categorical data. Heterogeneity level can be expressed by single or stochastic values and by consistency level. The application of the MEVSP model and prediction procedures can improve the application execution, as shown for in a simplified environment.
Application; Heterogeneity; Multi-Criterial Mapping; Platform; Prediction; User
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Podaci o prilogu
581-586-x.
2003.
objavljeno
Podaci o matičnoj publikaciji
Proceedings of the 25th International Conference on Information Technology Interfaces
Budin, Leo ; Lužar-Stiffler, Vesna ; Hljuz Dobrić, Vesna
Zagreb: Sveučilišni računski centar Sveučilišta u Zagrebu (Srce)
Podaci o skupu
25th International Conference on INFORMATION TECHNOLOGY INTERFACES ITI 2003
predavanje
16.06.2003-19.06.2003
Cavtat, Hrvatska