Declarative application management with Kubernetes

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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Publication Details

Published
2025-09-23
DOI
https://doi.org/10.1109/ic2e65552.2025.00044
Primary Topic
Cloud Computing and Resource Management
Type
article
Field-Weighted Citation Impact
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article

Declarative application management with Kubernetes

Cloud Computing and Resource Management
article

Declarative application management with Kubernetes

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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.

University of Pisa (IT), Piaggio (Italy) (IT), Engineering (Italy) (IT)
Responsible consumption and production
Openalex Percentile: Top 33%
Cloud Computing and Resource Management
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