Microservice Performance Degradation Correlation
| Autor: | Nikola Tankovic, Tihana Galinac Grbac, Marko Samardzic, Romeo Sajina |
|---|---|
| Přispěvatelé: | Koricic, Marko, Skala, Karolj, Car, Zeljka, Cicin-Sain, Marina, Sruk, Vlado, Skvorc, Dejan, Ribaric, Slobodan, Jerbic, Bojan, Gros, Stjepan, Vrdoljak, Boris, Mauher, Mladen, Tijan, Edvard, Katulic, Tihomir, Pale, Predrag, Galinac Grbac, Tihana, Filip Fijan, Nikola, i drugi |
| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
010302 applied physics
business.industry Computer science blockchain microservices Cloud computing 02 engineering and technology Microservices 01 natural sciences Data science Domain (software engineering) Order (business) 0103 physical sciences 0202 electrical engineering electronic engineering information engineering Multiple time 020201 artificial intelligence & image processing Architecture business Degradation (telecommunications) |
| Zdroj: | MIPRO |
| DOI: | 10.23919/mipro48935.2020.9245234 |
| Popis: | Microservice architecture offers many options to develop, deploy, and maintain applications using independent cloud services. Such a model is already widely accepted. However, the challenge of getting insights regarding the performance relationship between such services remains open. This paper introduces an approach to the investigation of performance degradation in microservice architectures. The algorithm inspects the correlation on multiple time series in order to make useful insights into the relationship between services as well as user behavior. In this research, we analyze collected run-time logs from six microservices in the retail domain used by several thousand SME customers. |
| Databáze: | OpenAIRE |
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