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Graph Based Liability Analysis for the Microservice Architecture


Kalinagac, Onur; Soussi, Wissem; Gür, Gürkan (2022). Graph Based Liability Analysis for the Microservice Architecture. In: 18th International Conference on Network and Service Management (CNSM 2022), Thessaloniki, Greece, 31 October 2022 - 4 November 2022. IEEE, 364-366.

Abstract

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.

Abstract

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.

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Additional indexing

Item Type:Conference or Workshop Item (Paper), refereed, original work
Communities & Collections:03 Faculty of Economics > Department of Informatics
Dewey Decimal Classification:000 Computer science, knowledge & systems
Scopus Subject Areas:Social Sciences & Humanities > Information Systems and Management
Physical Sciences > Safety, Risk, Reliability and Quality
Physical Sciences > Artificial Intelligence
Physical Sciences > Computer Networks and Communications
Physical Sciences > Hardware and Architecture
Physical Sciences > Information Systems
Uncontrolled Keywords:Root cause analysis, Causal Bayesian Network, microservices
Scope:Discipline-based scholarship (basic research)
Language:English
Event End Date:4 November 2022
Deposited On:10 Mar 2023 11:09
Last Modified:06 Mar 2024 14:39
Publisher:IEEE
OA Status:Green
Publisher DOI:https://doi.org/10.23919/CNSM55787.2022.9964681
Official URL:https://ieeexplore.ieee.org/abstract/document/9964681
Other Identification Number:merlin-id:23355
  • Content: Published Version
  • Language: English