Pregled bibliografske jedinice broj: 116889
Predictive Mapping Framework in Heterogeneous Computing Environment
Predictive Mapping Framework in Heterogeneous Computing Environment // Proceedings of the 25th International Conference on Information Technology Interfaces / Budin, Leo ; Lužar-Stiffler, Vesna ; Hljuz Dobrić, Vesna (ur.).
Zagreb: Sveučilišni računski centar Sveučilišta u Zagrebu (Srce), 2003. str. 581-586 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
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Naslov
Predictive Mapping Framework in Heterogeneous Computing Environment
Autori
Martinović, Goran ; Budin, Leo ; Hocenski, Željko
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
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), 2003, 581-586
Skup
25th International Conference on Information Technology Interfaces, ITI 2003
Mjesto i datum
Cavtat, Hrvatska, 16.06.2003. - 19.06.2003
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
Application; Heterogeneity; Multi-Criterial Mapping; Platform; Prediction; User
Sažetak
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.
Izvorni jezik
Engleski
Znanstvena područja
Računarstvo