Abstract
Abstract
Context
The microservices architectural style is gaining momentum in the IT industry. This style does not guarantee that a target system can continuously meet acceptable performance levels. The ability to study the violations of performance requirements and eventually predict them would help practitioners to tune techniques like dynamic load balancing or horizontal scaling to achieve the resilience property.
Objective
The goal of this work is to study the violations of performance requirements of microservices through time series analysis and provide practical instruments that can detect resilient and non-resilient microservices and possibly predict their performance behavior.
Method
We introduce a new method based on growth theory to model the occurrences of violations of performance requirements as a stochastic process. We applied our method to an in-vitro e-commerce benchmark and an in-production real-world telecommunication system. We interpreted the resulting growth models to characterize the microservices in terms of their transient performance behavior.
Results
Our empirical evaluation shows that, in most of the cases, the non-linear S-shaped growth models capture the occurrences of performance violations of resilient microservices with high accuracy. The bounded nature associated with this models tell that the performance degradation is limited and thus the microservice is able to come back to an acceptable performance level even under changes in the nominal number of concurrent users. We also detect cases where linear models represent a better description. These microservices are not resilient and exhibit constant growth and unbounded performance violations over time. The application of our methodology to a real in-production system identified additional resilience profiles that were not observed in the in-vitro experiments. These profiles show the ability of services to react differently to the same solicitation. We found that when a service is resilient it can either decrease the rate of the violations occurrences in a continuous manner or with repeated attempts (periodical or not).
Conclusions
We showed that growth theory can be successfully applied to study the occurences of performance violations of in-vitro and in-production real-world systems. Furthermore, the cost of our model calibration heuristics, based on the mathematical expression of the selected non-linear growth models, is limited. We discussed how the resulting models can shed some light on the trend of performance violations and help engineers to spot problematic microservice operations that exhibit performance issues. Thus, meaningful insights from the application of growth theory have been derived to characterize the behavior of (non) resilient microservices operations.
Publisher
Springer Science and Business Media LLC
Reference77 articles.
1. Abdel-Ghaly AA, Chan PY, Littlewood B (1986) Evaluation of competing software reliability predictions. IEEE Trans Softw Eng 9:950–967
2. Alshuqayran N, Ali N, Evans R (2016) A systematic mapping study in microservice architecture. In: Proc. IEEE 9th International Conference on Service-Oriented Computing and Applications (SOCA 2016), pp 44–51
3. Antonakakis M, April T, Bailey M, Bernhard M, Bursztein E, Cochran J, Durumeric Z, Halderman JA, Invernizzi L, Kallitsis M et al (2017) Understanding the Mirai botnet. In: USENIX Security Symposium, pp 1092–1110
4. Antoniol G, Ayari K, Di Penta M, Khomh F, Guéhéneuc Y-G (2008) Is it a bug or an enhancement? a text-based approach to classify change requests. In: Proceedings of the 2008 Conference of the Center for Advanced Studies on Collaborative Research: Meeting of Minds. CASCON ’08. https://doi.org/10.1145/1463788.1463819. Association for Computing Machinery, New York, NY, USA
5. Assunção W K G, Krüger J, Mendonça W D F (2020) Variability management meets microservices: Six challenges of re-engineering microservice-based webshops. In: Proceedings of the 24th ACM Conference on Systems and Software Product Line: Volume A - Volume A. SPLC ’20. https://doi.org/10.1145/3382025.3414942. Association for Computing Machinery, New York, NY, USA
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