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arXiv · 2301.07479

Extensions for Shared Resource Orchestration in Kubernetes to Support RT-Cloud Containers

Gabriele Monaco·Gautam Gala·Gerhard Fohler
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Abstract

Industries are considering the adoption of cloud computing for real-time applications due to current improvements in network latencies and the advent of Fog and Edge computing. To create an RT-cloud capable of hosting real-time applications, it is increasingly significant to improve the entire stack, including the containerization of applications, and their deployment and orchestration across nodes. However, state-of-the-art orchestrators (e.g., Kubernetes) and underlying container engines are designed for general-purpose applications. They ignore orchestration and management of shared resources (e.g. memory bandwidth, cache, shared interconnect) making them unsuitable for use with an RT-cloud. Taking inspiration from existing resource management architectures for multicore nodes, such as ACTORS, and for distributed mixed-criticality systems, such as the DREAMS, we propose a series of extensions in the way shared resources are orchestrated by Kubernetes and managed by the underlying Linux layers. Our approach allows fine-grained monitoring and allocation of low-level shared resources on nodes to provide better isolation to real-time containers and supports dynamic orchestration and balancing of containers across the nodes based on the availability and demand of shared resources.

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Gabriele Monaco, Gautam Gala, Gerhard Fohler. 2023-01-18. Extensions for Shared Resource Orchestration in Kubernetes to Support RT-Cloud Containers. https://arxiv.org/abs/2301.07479

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