Pregled bibliografske jedinice broj: 514635
Job Status Prediction – Catch Them Before They Fail
Job Status Prediction – Catch Them Before They Fail // Lecture Notes in Computer Science, 6646 (2011), 3-12 doi:10.1007/978-3-642-20754-9_2 (međunarodna recenzija, članak, znanstveni)
CROSBI ID: 514635 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Job Status Prediction – Catch Them Before They Fail
Autori
Grudenić, Igor ; Bogunović, NIkola
Izvornik
Lecture Notes in Computer Science (0302-9743) 6646
(2011);
3-12
Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni
Ključne riječi
Computer cluster; Job Status Prediction; Bayesian Classifier
Sažetak
Jobs in a computer cluster have several exit statuses caused by application properties, user and scheduler behavior. In this paper we analyze importance of job statuses and potential use of their prediction prior to job execution. Method for prediction of failed jobs based on Bayesian classifier is proposed and accuracy of the method is analyzed on several workloads. This method is integrated to the EASY algorithm adapted to prioritize jobs that are likely to fail. System performance for both failed jobs and the entire workload is analyzed.
Izvorni jezik
Engleski
Znanstvena područja
Računarstvo
POVEZANOST RADA
Projekti:
036-0362980-1921 - Računalne okoline za sveprisutne raspodijeljene sustave (Srbljić, Siniša, MZO ) ( CroRIS)
Ustanove:
Fakultet elektrotehnike i računarstva, Zagreb
Citiraj ovu publikaciju:
Časopis indeksira:
- Scopus
Uključenost u ostale bibliografske baze podataka::
- springerlink