Understanding Container-based Services under Software Aging: Dependability and Performance Views

• URL: http://arxiv.org/abs/2308.12784v1
• Date: Thu, 24 Aug 2023 13:40:26 GMT
• Title: Understanding Container-based Services under Software Aging: Dependability and Performance Views
• Authors: Jing Bai, Xiaolin Chang, Fumio Machida, Kishor S. Trivedi
• Abstract summary: We show the optimal con-tainer-migration trigger intervals that can maximize the de-pendability or minimize the performance of a container-based service. This paper proposes a comprehensive semi-Markov-based approach to quantitatively evaluate the effect of OS reju-venation on the dependability and the performance of a con-tainer-based service.
• Score: 5.2135218089240185
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: Container technology, as the key enabler behind microservice architectures, is widely applied in Cloud and Edge Computing. A long and continuous running of operating system (OS) host-ing container-based services can encounter software aging that leads to performance deterioration and even causes system fail-ures. OS rejuvenation techniques can mitigate the impact of software aging but the rejuvenation trigger interval needs to be carefully determined to reduce the downtime cost due to rejuve-nation. This paper proposes a comprehensive semi-Markov-based approach to quantitatively evaluate the effect of OS reju-venation on the dependability and the performance of a con-tainer-based service. In contrast to the existing studies, we nei-ther restrict the distributions of time intervals of events to be exponential nor assume that backup resources are always avail-able. Through the numerical study, we show the optimal con-tainer-migration trigger intervals that can maximize the de-pendability or minimize the performance of a container-based service.

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