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- W3124873340 abstract "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." @default.
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- W3124873340 date "2021-01-01" @default.
- W3124873340 modified "2023-09-27" @default.
- W3124873340 title "Microservice Performance Degradation Correlation" @default.
- W3124873340 hasPublicationYear "2021" @default.
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