Monitoring SOA-based applications with business provenance

  • Authors:
  • Sergio Manuel Serra da Cruz;Raimundo Macário Costa;Mary Manhães;Jorge Zavaleta

  • Affiliations:
  • DEMAT/ICE/UFRRJ;PESC/COPPE/UFRJ;PESC/COPPE/UFRJ;PESC/COPPE/UFRJ

  • Venue:
  • Proceedings of the 28th Annual ACM Symposium on Applied Computing
  • Year:
  • 2013

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Abstract

Nowadays, business applications span across loosely coupled systems generating increasing amounts of business provenance. Capturing, monitoring, analyzing business provenance has received insignificant attention despite its relevance. Business provenance gives the flexibility to capture the information required to address compliance or Quality of Services (QoS) goals. This paper discusses the importance of monitoring Service-oriented architectures (SOA) applications and presents architecture named BizProv, a novel proposal to collect the fine-grained retrospective provenance generated by business processes across multiple internal and external organizational boundaries. We also present a provenance schema based on Open Provenance Model (OPM) standard and show examples of provenance queries based on Data warehouse (DW) technology.