CISUC

Studying the Propagation of Failures in SOAs

Authors

Abstract

Although Service Oriented Architectures (SOAs) are being increasingly used in business-critical scenarios, the applicability of Verification and Validation (V&V) is still very limited. The problem is that V&V activities have to be implemented at runtime to fit the characteristics of SOA. Recent proposals of runtime V&V techniques specific to SOA domain are far from being complete and a key issue lies in understanding how the “failures propagate” in a dynamic system and how to continuously verify its evolving elements. This paper introduces
an approach to deal with the propagation of failures in a SOA environment. The proposed technique is based on three key steps: estimating the failure rate of the individual services, using fault injection to find the exposure of each service to failures from the invoked services, and estimating the impact of each service in the overall architecture. The overall approach is presented with a brief demonstration of its application.

Keywords

failure propagation, fault injection, FMEA, Runtime V&V, SOA

Subject

Propagation of Failures in Service Oriented Architectures

Related Project

DEVASSES: DEsign, Verification and VAlidation of large-scale, dynamic Service SystEmS

Conference

International Workshop on Recent Advances in the Dependability Assessment of Complex Systems (RADIANCE’2015), June 2015

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Cited by

Year 2018 : 1 citations

 Jones, T.B., Ackley, D.H., Damage reduction via white-box failure shaping (2018) Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 11036 LNCS, pp. 213-228.
DOI: 10.1007/978-3-319-99241-9_11

Year 2017 : 1 citations

 White, Gary, Andrei Palade, Christian Cabrera, and Siobhán Clarke. "Quantitative evaluation of qos prediction in iot." In Dependable Systems and Networks Workshop (DSN-W), 2017 47th Annual IEEE/IFIP International Conference on, pp. 61-66. IEEE, 2017.

Year 2016 : 1 citations

 Jones, Thomas B., and David H. Ackley. "Scalable Robustness." Dependable Systems and Networks Workshop, 2016 46th Annual IEEE/IFIP International Conference on. IEEE, 2016.