PERANCANGAN FRAMEWORK UMUM UNTUK DIAGNOSIS OTOMATIS KEGAGALAN SISTEM INFORMASI BERBASIS WEB MENGGUNAKAN PEMBELAJARAN MESIN

Juwairiah Juwairiah

Abstract


Banyak sistem informasi mengalami problem yang sama ketika menghadapi kegagalan, yaitu sulit untuk menentukan mana dari sistem sebagai sumber kegagalan.  Paper ini akan mempelajari dan menganalisis diagnosis fault dengan pembelajaran mesin dalam tiga kasus kegagalan sistem informasi berbasis web, yaitu : isolasi bug dengan regresi logistik, lokalisasi fault dalam layanan internet dengan pohon keputusan, dan diagnosis problem kinerja sistem dengan Tree Augmented Naïve Bayesian Network (TAN). Kemudian mengusulkan sebuah framework umum untuk diagnosis otomatis berdasarkan kemiripan diagnosis fault dalam ketiga kasus tersebut. 


Full Text:

PDF (Indonesian)

References


Aguilera, M.K., Mogul, J..C., Wiener, J.L., P.Reynolds, and A.Muthitacharoen. Performance debugging for distributed systems of black boxes. In Proceedings of the nineteenth ACM Symposium on Operating Systems Principles (SOSP’03), pages 74–89, New York, USA, 2003.

Cohen, I., M. Goldszmidt, T. Kelly, J. Symons, and J. Chase. Correlating instrumentation data to system states: A building block for automated diagnosis and control. In Proceedings of 6th USENIX Symposium on Operating Systems Design and Implementation (OSDI), San Francisco, CA, USA, December 2004.

Chen, M., A. Zheng, J. Lloyd, M. Jordan, and E. Brewer. Failure diagnosis using decision trees. In Proceedings of International Conference on Autonomic Computing (ICAC), New York, USA, May 2004.

Kıcıman, E. and A. Fox. Detecting Application-Level Failures in Component-based Internet Services. In IEEE Transactions on Neural Networks: Special Issue on Adaptive Learning Systems in Communication Networks, September 2005.

Liblit, B., A. Aiken, A.X. Zheng, and M.I. Jordan. Bug isolation via remote program sampling. In Proceedings of the ACM SIGPLAN 2003 Conference on Programming Language Design and Implementation, San Diego, California, 2003.

Steinder, M. and A.S. Sethi, A survey of fault localization techniques, In computer networks, Science of Computer Programming 53, pages 165–194, 2004


Refbacks

  • There are currently no refbacks.