Abstract
Modern cloud applications are expected to continuously provide adequate performance, withstanding changing workloads, heterogeneous hardware, and unpredictable infrastructure failures. Autoscaling can automatically provision resources to match performance goals but may suffer from slower reaction times and risks of over-provisioning. Brownout mechanisms, on the other hand, empower applications with the ability to quickly dim out optional features, freeing computational resources to serve core functionalities with the desired performance level. However, modifying an application to include brownout capabilities may require invasive changes to the codebase and the need to expose ad-hoc interfaces to coordinate the interaction of the brownout dimmers and autoscaling actions, avoiding interferences that may destabilize the system. In this paper, we report on our preliminary results on the design of an application-agnostic control theoretical solution to integrate scaling and dimming capabilities at the orchestrator level. We implemented a prototype of our controller on top of Kubernetes and HAProxy to empower generic applications with coordinated autoscaling and brownout capabilities by dynamically controlling the number of active replicas and per-user access to optional API endpoints.
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Kotegov, I., Filieri, A. (2020). Towards Coordinated Autoscaling and Application Brownout at the Orchestrator Level. In: Muccini, H., et al. Software Architecture. ECSA 2020. Communications in Computer and Information Science, vol 1269. Springer, Cham. https://doi.org/10.1007/978-3-030-59155-7_21
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DOI: https://doi.org/10.1007/978-3-030-59155-7_21
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