Distance-based Trace Diagnosis for Multimedia Applications: Help me TED!

Christiane Kamdem Kengne 1 Noha Ibrahim 2 Marie-Christine Rousset 2 Maurice Tchuenté 3
1 LIG - Laboratoire d'Informatique de Grenoble
2 LIG Laboratoire d'Informatique de Grenoble - HADAS
LIG - Laboratoire d'Informatique de Grenoble
3 Université de Yaoundé I [Yaoundé]
Abstract : Execution traces have become essential resources that many developers analyze to debug their applications. Ideally, a developer wants to quickly detect whether there are anomalies on his application or not. However, in practice, the size of multimedia applications trace can reach gigabytes, which makes their exploitation very complex. Usually, developers use visualization tools before stating a hypothesis. In this paper, we argue that this solution is not satisfactory and propose to automatically provide a diagnosis by comparing execution traces. We use distance-based models and conduct a user case to show how TED, our automatic trace diagnosis tool, provides semantic added-value information to the developer. Performance evaluation over real world data shows that our approach is scalable.
keyword : Audio/Video decoding Diagnosis Distance Execution traces Multimedia applications
Type de document :
Communication dans un congrès
David A. Evans, Mihaela van der Schaar, Phillip Sheu, Jeffrey Abbott. ICSC 2013 - International Conference on Semantic Computing, Sep 2013, Irvine, CA, United States. IEEE, pp.306 - 309, 2013, 〈10.1109/ICSC.2013.59〉
Liste complète des métadonnées
https://hal.archives-ouvertes.fr/hal-00923537
Contributeur : Noha Ibrahim <>
Soumis le : vendredi 3 janvier 2014 - 17:37:18
Dernière modification le : jeudi 11 janvier 2018 - 06:22:06

Lien texte intégral

openaccess

Identifiants

Collections

AFRIQ | UGA | LIG_TDCGE_HADAS | LIG_TDCGE | LIG | LIG_SRCPR

Citation

Christiane Kamdem Kengne, Noha Ibrahim, Marie-Christine Rousset, Maurice Tchuenté. Distance-based Trace Diagnosis for Multimedia Applications: Help me TED!. David A. Evans, Mihaela van der Schaar, Phillip Sheu, Jeffrey Abbott. ICSC 2013 - International Conference on Semantic Computing, Sep 2013, Irvine, CA, United States. IEEE, pp.306 - 309, 2013, 〈10.1109/ICSC.2013.59〉. 〈hal-00923537〉

Exporter

BibTeX TEI DC DCterms EndNote

Partager

Métriques

Consultations de la notice

195

Contact

support.ccsd.cnrs.fr
hal.support@ccsd.cnrs.fr
Logo CCSD