QoS-Aware orchestration of applications across the cloud-edge computing continuum is crucial for optimising performance, reducing latency, and sustainably managing resource usage. In this article, we present Avant Intelligent Deployer (AID), the open-source prototype of a novel Kubernetes-based orchestrator for automated declarative application management in Cloud-Edge settings, focusing on environmental sustainability. AID relies on declarative management policies specified in Prolog to determine a deployment node for each application service, considering average carbon intensity, CPU, GPU, and RAM availability, node location and affinity constraints between services. We demonstrate our prototype tool over a small-scale industrial case study.

Declarative application management with Kubernetes

Forti, Stefano
Primo
;
Brogi, Antonio
2025-01-01

Abstract

QoS-Aware orchestration of applications across the cloud-edge computing continuum is crucial for optimising performance, reducing latency, and sustainably managing resource usage. In this article, we present Avant Intelligent Deployer (AID), the open-source prototype of a novel Kubernetes-based orchestrator for automated declarative application management in Cloud-Edge settings, focusing on environmental sustainability. AID relies on declarative management policies specified in Prolog to determine a deployment node for each application service, considering average carbon intensity, CPU, GPU, and RAM availability, node location and affinity constraints between services. We demonstrate our prototype tool over a small-scale industrial case study.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11568/1335247
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