Inscriere cercetatori

Premii Ad Astra

premii Ad Astra

Asociația Ad Astra a anunțat câștigătorii Premiilor Ad Astra 2022: Proiectul și-a propus identificarea și popularizarea modelelor de succes, a rezultatelor excepționale ale cercetătorilor români din țară și din afara ei.

Asociatia Ad Astra a cercetatorilor romani lanseaza BAZA DE DATE A CERCETATORILOR ROMANI DIN DIASPORA. Scopul acestei baze de date este aceea de a stimula colaborarea dintre cercetatorii romani de peste hotare dar si cu cercetatorii din Romania. Cercetatorii care doresc sa fie nominalizati in aceasta baza de date sunt rugati sa trimita un email la

Web server’s reliability improvements using recurrent neural networks

Domenii publicaţii > Ştiinţe informatice + Tipuri publicaţii > Articol în volumul unei conferinţe

Autori: Madsen H., R.-D. Albu, I. Felea, G. Albeanu, Fl. Popentiu-Vladicescu, R. C. Tarca

Editorial: Bérenguer, Grall & Guedes Soares, Taylor & Francis Group, London, ISBN 978-0-415-68379-1, Advances in Safety, Reliability and Risk Management, p.2685-2690, 2012.


In this paper we describe an interesting approach to error prediction illustrated by experimental
results. The application consists of monitoring the activity for the web servers in order to collect
the specific data. Predicting an error with severe consequences for the performance of a server (the result
of which is that its functionality becomes totally inaccessible or hard to access for clients) requires measuring
the capacity of a server at any given time. This measurement is highly complex, if not impossible.
There are several variables which we can measure on a running system, such as: CPU usage, network
usage and memory usage. We collect different data sets from monitoring the web server’s activity and for
each one we predict the server’s reliability with the proposed recurrent neural network.

Cuvinte cheie: web server's reliability, recurrent neural networks // web server's reliability, recurrent neural networks