Abstract
A challenging aspect in distributed systems is managing faults, i.e., detecting failures and reacting to them, especially when strict real-time constraints must be met. In this paper, we address the problem of measuring the performance of the fault management mechanism in a complex legacy system with hard real-time requirements. We propose a novel approach to performance evaluation of the fault management mechanism in distributed real-time legacy software systems by developing a performance testing infrastructure, implemented based on the load testing tool Locust. Our use case is a commercial alarm system in productive use that is provided and further developed by the GS company group in Germany. We show in extensive experiments that our approach to performance measurement allows to adequately estimate to what degree the fault management mechanism of a legacy real-time system comply with the strict time constraints. We provide an open-source repository with our measurement infrastructure which allows to reproduce our experiments.
We thank the GS company group for the opportunity to perform our case study with their alarm system. This work was supported by the BMBF project HPC2SE at the University of Muenster.
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References
Avritzer, A., Kondek, J., Liu, D., Weyuker, E.J.: Software performance testing based on workload characterization. In: Proceedings of the 3rd International Workshop on Software and Performance, WOSP 2002, New York, NY, USA, pp. 17–24. Association for Computing Machinery (2002). https://doi.org/10.1145/584369.584373
Byström, C., Heyman, J., Hamrén, J., Heyman, H.: Locust. https://docs.locust.io/en/stable/what-is-locust.html
Byström, C., Heyman, J., Hamrén, J., Heyman, H.: Locust - Testing other systems using custom clients. https://docs.locust.io/en/stable/testing-other-systems.html
da Silva, P.P., Laender, A.H.F., Resende, R.S.F., Golgher, P.B.: Characterizing a synthetic workload for performance evaluation during the migration of a legacy system. In: Proceedings of the Fourth European Conference on Software Maintenance and Reengineering, pp. 173–181, March 2000. https://doi.org/10.1109/CSMR.2000.827325
DIN EN 50136–1:2012–08: Alarm systems - alarm transmission systems and equipment - part 1: General requirements for alarm transmission systems, August 2012
ISO/IEC: ISO/IEC 2382:2015: Information technology - Vocabulary. Technical report International Organization for Standardization (2015)
Jin, Y., Tang, A., Han, J., Liu, Y.: Performance evaluation and prediction for legacy information systems. In: 29th International Conference on Software Engineering (ICSE 2007), pp. 540–549, May 2007. https://doi.org/10.1109/ICSE.2007.64
Kumar, A., Yadav, R.S., Ranvijay, A.J.: Fault tolerance in real time distributed system. Int. J. Comput. Sci. Eng. 3(2), 933–939 (2011)
Matthiesen, S., Bjørn, P.: Why replacing legacy systems is so hard in global software development: an information infrastructure perspective. In: Proceedings of the 18th ACM Conference on Computer Supported Cooperative Work & Social Computing. CSCW 2015, New York, NY, USA, pp. 876–890. Association for Computing Machinery (2015). https://doi.org/10.1145/2675133.2675232
Tomak, J.: Performance testing infrastructure (2020). https://bitbucket.org/JT1337/locust_scripts
Zhang, L.: Performance Models for Legacy System Migration and Multi-core Computers-an MVA Approach. Ph.D. thesis, MCMaster University (2015). http://hdl.handle.net/11375/18196
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Tomak, J., Gorlatch, S. (2021). Measuring Performance of Fault Management in a Legacy System: An Alarm System Study. In: Calzarossa, M.C., Gelenbe, E., Grochla, K., Lent, R., Czachórski, T. (eds) Modelling, Analysis, and Simulation of Computer and Telecommunication Systems. MASCOTS 2020. Lecture Notes in Computer Science(), vol 12527. Springer, Cham. https://doi.org/10.1007/978-3-030-68110-4_9
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