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arXiv · 2308.12784

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

Jing Bai·Xiaolin Chang·Fumio Machida·Kishor S. Trivedi
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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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Jing Bai, Xiaolin Chang, Fumio Machida, Kishor S. Trivedi. 2023-08-24. Understanding Container-based Services under Software Aging: Dependability and Performance Views. https://arxiv.org/abs/2308.12784

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