한국IT서비스학회지 (Journal of Information Technology Services)

한국IT서비스학회 (Korea Society of IT Services)
권호 표지
DOI QR코드

DOI QR Code

Recurrent Neural Network를 활용한 서비스 이벤트 관계 분석에 관한 연구

The Study of Service Event Relation Analysis Using Recurrent Neural Network

  • 전우성 (숭실대학교 대학원 IT정책경영학과) ;
  • 박영석 (숭실대학교 대학원 IT정책경영학과) ;
  • 최정일 (숭실대학교 경영학부)
  • 투고 : 2018.08.18
  • 심사 : 2018.11.29
  • 발행 : 2018.12.31
PDF 다운로드
⟨ 이전 논문 다음 논문 ⟩

초록

Enterprises need to monitor systems for reliable IT service operations to quickly detect and respond to events affecting the service, thereby preventing failures. Events in non-critical systems can be seen as a precursor to critical system incidents. Therefore, event relationship analysis in the operation of IT services can proactively recognize and prevent faults by identifying non-critical events and their relationships with incidents. This study used the Recurrent Neural Network and Long Short Term Memory techniques to create a model to analyze event relationships in a system and to verify which models are suitable for analyzing event relationships. Verification has shown that both models are capable of analyzing event relationships and that RNN models are more suitable than LSTM models. Based on the pattern of events occurring, this model is expected to support the prediction of the next occurrence of events and help identify the root cause of incidents to help prevent failures and improve the quality of IT services.

키워드

OTSBB9_2018_v17n4_75_f0001.png 이미지

Event Occurrence Example

OTSBB9_2018_v17n4_75_f0002.png 이미지

RNN Structure

OTSBB9_2018_v17n4_75_f0003.png 이미지

LSTM structure

OTSBB9_2018_v17n4_75_f0004.png 이미지

Input Data Creation

Model Creation Result

OTSBB9_2018_v17n4_75_t0001.png 이미지

Test Result

OTSBB9_2018_v17n4_75_t0002.png 이미지

참고문헌

  1. Bouloutas, A.T., S. Calo, and A. Finkel, "Alarm Correlation and Fault Identification in Communication Networks", In IEEE Transactions on Communications, Communications, Vol.42, No.234, 1994, 523-533. https://doi.org/10.1109/TCOMM.1994.577079
  2. Bychkov, I., G. Oparin, A. Novopashin, and I. Sidorov, "Agent-Based Approach to Monitoring and Control of Distributed Computing Environment", In Malyshkin V.(eds) Parallel Computing Technologies, PaCT 2015, Lecture Notes in Computer Science, Vol.9251, Springer, Cham, 2015, 253-257.
  3. Cheng, L., B.F. van Dongen, and W.M.P. van der Aalst, "Efficient Event Correlation over Distributed Systems", In 2017 17th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGRID), 14-17 May 2017, 1-10.
  4. Gardner, R.D. and D.A. Harle, "Methods and Systems for Alarm Correlation", In Global Telecommunications Conference, GLOBECOM '96.' Communications : The Key to Global Prosperity, Vol.1, 18-28 November 1996, 136-140.
  5. Grati, R., K. Boukadi, and H. Ben-Abdallah, "Overview of IaaS Monitoring Tools", In 2015 IEEE/ACS 12th International Conference of Computer Systems and Applications (AICCSA), 2015, 1-7.
  6. Gulli, A. and S. Pal, Deep Learning with Keras : Implement Neural Networks with Keras on Theano and Tensor Flow, Packt Publishing, 2017.
  7. Jakobson, G. and M. Weissman, "Alarm Correlation", IEEE Network, Vol.7, No.6, 1993, 52-59. https://doi.org/10.1109/65.244794
  8. Kim, H.S. and S.A. Park, "An Empirical Study on Contract Model for IT Outsourcing Application Operation", Journal of Information Technology Services, Vol.16, No.2, 2017, 45-60. https://doi.org/10.9716/KITS.2017.16.2.045
  9. Kliger, S., S. Yemini, Y. Yemini, D. Ohsie, and S. Stolfo, "A Coding Approach to Event Correlation", In : Sethi A.S., Raynaud Y., Faure-Vincent F.(eds) Integrated Network Management IV. IM 1995, The International Federation for Information Processing, Springer, Boston, MA, 1995, 266-277.
  10. Lee, S., K. Levanti, and H.S. Kim, "Network Monitoring : Present and Future", Computer Networks, Vol.65, No.2, 2014, 84-98. https://doi.org/10.1016/j.comnet.2014.03.007
  11. Meera, A. and S. Swamynathan, "Agent based Resource Monitoring System in IaaS Cloud Environment", Procedia Technology, Vol. 10, 2013, 200-207. https://doi.org/10.1016/j.protcy.2013.12.353
  12. Renita, J. and N.E. Elizabeth, "Network's Server Monitoring and Analysis Using Nagios", In 2017 International Conference on Wireless Communications, Signal Processing and Networking (WiSPNET), 2017, 1904-1909.
  13. Salah, S., G. Macia-Fernandez, and J.E. Diaz-Verdejo, "A Model-based Survey of Aert Correlation Techniques", Computer Networks, Vol.57, No.5, 2013, 1289-1317. https://doi.org/10.1016/j.comnet.2012.10.022
  14. Steinberg, R.A., ITIL Service Operation, 2011, The Stationery Office.
  15. Tso, F.P., S. Jouet, and D.P. Pezaros, "Network and Server Resource Management Strategies for Data Centre Infrastructures : A Survey", Computer Networks, Vol.106, 2016, 209-225. https://doi.org/10.1016/j.comnet.2016.07.002