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| Type | Conference or Workshop Paper |
| Scope | Discipline-based scholarship |
| Published in Proceedings | Yes |
| Title | Graph Based Liability Analysis for the Microservice Architecture |
| Organization Unit | |
| Authors |
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| Presentation Type | paper |
| Item Subtype | Original Work |
| Refereed | Yes |
| Status | Published in final form |
| Language |
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| Page Range | 364 - 366 |
| Event Title | 18th International Conference on Network and Service Management (CNSM 2022) |
| Event Type | conference |
| Event Location | Thessaloniki, Greece |
| Event Start Date | October 31 - 2022 |
| Event End Date | November 4 - 2022 |
| Place of Publication | Thessaloniki, Greece |
| Publisher | IEEE |
| Abstract Text | In this work, we present Graph Based Liability Analysis Framework (GRALAF) for root cause analysis (RCA) of the microservices. In this Proof-of-Concept (PoC) tool, we keep track of the performance metrics of microservices, such as service response time and CPU level values, to detect anomalies. By injecting faults in the services, we construct a Causal Bayesian Network (CBN) which represents the relation between service faults and metrics. The constructed CBN is used to predict the fault probability of services under given metrics which are assigned discrete values according to their anomaly states. |
| Official URL | https://ieeexplore.ieee.org/abstract/document/9964681 |
| Digital Object Identifier | 10.23919/CNSM55787.2022.9964681 |
| Other Identification Number | merlin-id:23355 |
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| Keywords | Root cause analysis, Causal Bayesian Network, microservices |