Delta debugging microservice systems

Xiang Zhou, Jun Sun, Xin Peng, Wenhai Li, Dan Ding, Tao Xie, Chao Ji

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Debugging microservice systems involves the deployment and manipulation of microservice systems on a containerized environment and faces unique challenges due to the high complexity and dynamism of microservices. To address these challenges, in this paper, we propose a debugging approach for microservice systems based on the delta debugging algorithm, which is to minimize failure-inducing deltas of circumstances (e.g., deployment, environmental configurations) for effective debugging. Our approach includes novel techniques for defining, deploying/manipulating, and executing deltas following the idea of delta debugging. In particular, to construct a (failing) circumstance space for delta debugging to minimize, our approach defines a set of dimensions that can affect the execution of microservice systems. Our experimental study on a medium-size microservice benchmark system shows that our approach can effectively identify failure-inducing deltas that help diagnose the root causes.

Original languageEnglish (US)
Title of host publicationASE 2018 - Proceedings of the 33rd ACM/IEEE International Conference on Automated Software Engineering
EditorsChristian Kastner, Marianne Huchard, Gordon Fraser
PublisherAssociation for Computing Machinery
Pages802-807
Number of pages6
ISBN (Electronic)9781450359375
DOIs
StatePublished - Sep 3 2018
Event33rd IEEE/ACM International Conference on Automated Software Engineering, ASE 2018 - Montpellier, France
Duration: Sep 3 2018Sep 7 2018

Publication series

NameASE 2018 - Proceedings of the 33rd ACM/IEEE International Conference on Automated Software Engineering

Other

Other33rd IEEE/ACM International Conference on Automated Software Engineering, ASE 2018
Country/TerritoryFrance
CityMontpellier
Period9/3/189/7/18

Keywords

  • Delta Debugging
  • Microservice
  • Testing

ASJC Scopus subject areas

  • Computational Theory and Mathematics
  • Human-Computer Interaction
  • Software

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