Abstract
The importance of communication networks increases with every new system and over the last 20 years these networks have become a critical infrastructure like the electricity network. Besides all cables and connections, the core of these networks are the information transfer systems with routers and switches. To guarantee the availability of these systems resilience is needed. The present paper evaluates possibilities to ensure resilience by the training for IT-Experts. For this purpose, typical errors and the way to fix these failures are inspected. A concept for combining the simulation of failures in systems and the mean time to restore (MTTR) was developed. Related to the information provided by the simulation, the concept was extended by details about the experts training level to specify the MTTR. Our approach is a possible way for providing information related to the field of training in context between experience and computer-generated information. Goal of our work is to enlarge the resilience of systems in critical infrastructures like communication networks by drawing conclusions about the IT-Experts training.
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- 1.
CCNA; Cisco Certified Network Associate.
References
Laprie, J.-C.: From dependability to resilience. In: 38th IEEE/IFIP International Conference on Dependable Systems and Networks, pp. 8–9 (2008)
Amdal, J.R., Swigart, S.L.: Resilient Transportation Systems in a Post-Disaster Environment: A Case Study of Opportunities Realized and Missed in the Greater New Orleans Region (2010)
Southwick, S.M., Bonanno, G.A., Masten, A.S., Panter-Brick, C., Yehuda, R.: Resilience definitions, theory, and challenges: interdisciplinary perspectives. Eur. J. Psychotraumatol. 5(1), 1–14 (2014)
Westrum, R.: A typology of resilience situations. In: Woods, D.D. (ed.) Resilience Engineering, pp. 67–78. CRC Press, Boca Raton (2017)
Woods, D.D.: Four concepts for resilience and the implications for the future of resilience engineering. Reliab. Eng. Syst. Saf. 141, 5–9 (2015)
Schulte, W.: WAN - Wide Area Network: Einführung in die Technik und Protokolle. VDE VERLAG GmbH, Berlin (2014)
Barker, K., Ramirez-Marquez, J.E., Rocco, C.M.: Resilience-based network component importance measures. Reliab. Eng. Syst. Saf. 117, 89–97 (2013)
Paxson, V., Floyd, S.: Wide area traffic: the failure of Poisson modeling. IEEE/ACM Trans. Netw. 3(3), 226–244 (1995)
Faramondi, L., et al.: Network structural vulnerability: a multiobjective attacker perspective. IEEE Trans. Syst. Man Cybern. Syst. 49, 2036–2049 (2018)
Gill, P., Jain, N., Nagappan, N.: Understanding network failures in data centers: measurement, analysis, and implications. ACM SIGCOMM Comput. Commun. Rev. 41(4), 350–361 (2011)
Crucitti, P., Latora, V., Marchiori, M.: Model for cascading failures in complex networks. Phys. Rev. E 69(4), 045104 (2004)
Law, A.M., Kelton, W.D.: Simulation Modeling and Analysis, 3rd edn. McGraw-Hill, New York (2000)
Novaco, R.W., Cook, T.M., Sarason, I.G.: Military recruit training. In: Meichenbaum, D., Jaremko, M.E. (eds.) Stress Reduction and Prevention, pp. 377–418. Springer, Boston (1989). https://doi.org/10.1007/978-1-4899-0408-9_12
Metzig, W., Schuster, M.: Lernen zu lernen, 9th edn. Springer, Heidelberg (2016). https://doi.org/10.1007/978-3-662-48897-3
Dhamdhere, A., Teixeira, R., Dovrolis, C., Diot, C.: NetDiagnoser: troubleshooting network unreachabilities using end-to-end probes and routing data. In: Co-NEXT 2010 Proceedings of the 6th International Conference, pp. 18–30. ACM, New York (2010)
Wang, H.J., et al.: Automatic misconfiguration troubleshooting with peer pressure. In: OSDI 2004: 6th Symposium on Operating Systems Design and Implementation, pp. 245–257. USENIX Association, San Francisco (2004)
Kallfass, D., Schlaak, T.: NATO MSG-088 case study results to demonstrate the benefit of using data farming for military decision support. In: Proceedings of the Winter Simulation Conference, pp. 221–233. WSC, Berlin (2012)
Bein, W., Pickl, S., Tao, F.: Data analytics and optimization for decision support. Bus. Inf. Syst. Eng. 61(3), 255–256 (2019)
Madni, A., Jackson, S.: Towards a conceptual framework for resilience engineering. IEEE Syst. J. 3, 181–191 (2009)
Karwowski, W.: Ergonomics and human factors: the paradigms for science, engineering, design, technology and management of human-compatible systems. Ergonomics 48(5), 436–463 (2005)
Bordetsky, A., Netzer, D.: TNT testbed for self-organizing tactical networking and collaboration. Naval Postgraduate School, Monterey, CA (2009)
Panteli, M., Mancarella, P.: The grid: stronger, bigger, smarter?: presenting a conceptual framework of power system resilience. IEEE Power Energy Mag. 13, 58–66 (2015)
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Dally, M., Jahnen, S., Moll, M., Pickl, S. (2020). Analysis and Optimization of the Resilience Enhancement Circle via Data Farming. In: Mazal, J., Fagiolini, A., Vasik, P. (eds) Modelling and Simulation for Autonomous Systems. MESAS 2019. Lecture Notes in Computer Science(), vol 11995. Springer, Cham. https://doi.org/10.1007/978-3-030-43890-6_24
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