Software bugs in cloud management systems often cause erratic behavior, hindering detection, and recovery of failures. As a consequence, the failures are not timely detected and notified, and can silently propagate through the system. To face these issues, we propose a lightweight approach to runtime verification, for monitoring and failure detection of cloud computing systems. We performed a preliminary evaluation of the proposed approach in the OpenStack cloud management platform, an “off-the-shelf” distributed system, showing that the approach can be applied with high failure detection coverage.
Towards Runtime Verification via Event Stream Processing in Cloud Computing Infrastructures / Cotroneo, D.; De Simone, L.; Liguori, P.; Natella, R.; Scibelli, A.. - 12632:(2021), pp. 162-175. (Intervento presentato al convegno AIOps, CFTIC, STRAPS, AI-PA, AI-IOTS, and Satellite Events held in conjunction with 18th International Conference on Service-Oriented Computing, ICSOC 2020 nel 2020) [10.1007/978-3-030-76352-7_19].
Towards Runtime Verification via Event Stream Processing in Cloud Computing Infrastructures
Cotroneo D.;De Simone L.;Liguori P.;Natella R.;Scibelli A.
2021
Abstract
Software bugs in cloud management systems often cause erratic behavior, hindering detection, and recovery of failures. As a consequence, the failures are not timely detected and notified, and can silently propagate through the system. To face these issues, we propose a lightweight approach to runtime verification, for monitoring and failure detection of cloud computing systems. We performed a preliminary evaluation of the proposed approach in the OpenStack cloud management platform, an “off-the-shelf” distributed system, showing that the approach can be applied with high failure detection coverage.File | Dimensione | Formato | |
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2020_AIOPS_run_time_verification_openstack_de_simone.pdf
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