Abstract
Loosely-coupled and lightweight microservices running in containers are likely to form complex execution dependencies inside the system. The execution dependency arises when two execution paths partially share component microservices, resulting in potential runtime performance interference. In this paper, we present a blackbox approach that utilizes legitimate HTTP requests to accurately profile the internal pairwise dependencies of all supported execution paths in the target microservices application. Concretely, we profile the pairwise dependency of two execution paths through performance interference analysis by sending bursts of two types of requests simultaneously. By characterizing and grouping all the execution paths based on their pairwise dependencies, the black box approach can derive a clear dependency graph(s) of the entire backend of the microservices application. We validate the effectiveness of the blackbox approach through experiments of open-source microservices benchmark applications running on real clouds (e.g., EC2, Azure).
| Original language | American English |
|---|---|
| Title of host publication | 2023 IEEE 9th International Conference on Collaboration and Internet Computing (CIC) |
| DOIs | |
| State | Published - 2023 |
| Externally published | Yes |
Keywords
- dependency
- microservices
- performance analysis
EGS Disciplines
- Computer Sciences