Detecting artifact anomalies in microservice-based financial applications

Faisal Fahmi, Pei Shu Huang, Feng Jian Wang

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

A microservice architecture is one of the vital assets for financial service industries on their digital transformation. With the architecture, a Service-Oriented Architecture (SOA) application can be composed of a number of smaller but independently concurrent running units for better performance and maintainability of the application. The correctness of artifact states in financial services is significant. Analyzing artifact operations inside each microservice of this application during the design phase is essential since an incorrect artifact state of abnormal artifact operation(s) may corrupt the whole application. In this paper, we identify the properties of artifact associated with a microservice architecture and present a method to detect the anomalies based on these properties.

Original languageEnglish
Title of host publicationProceedings - 2020 IEEE 13th International Conference on Services Computing, SCC 2020
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages418-421
Number of pages4
ISBN (Electronic)9781728187891
DOIs
StatePublished - Nov 2020
Event13th IEEE International Conference on Services Computing, SCC 2020 - Virtual, Beijing, China
Duration: 18 Oct 202024 Oct 2020

Publication series

NameProceedings - 2020 IEEE 13th International Conference on Services Computing, SCC 2020

Conference

Conference13th IEEE International Conference on Services Computing, SCC 2020
CountryChina
CityVirtual, Beijing
Period18/10/2024/10/20

Keywords

  • Artifact anomaly
  • Microservices
  • Workflow

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