Towards a Decentralised Application-Centric Orchestration Framework in the Cloud-Edge Continuum
🤖 AI Summary
To address the full-lifecycle management challenges of complex distributed applications in the cloud–edge continuum—particularly resource optimization, automated deployment, and dynamic reconfiguration across heterogeneous, multi-provider environments—this paper proposes Swarmchestrate, a decentralized, application-driven orchestration framework. Its core innovation is the first-ever “application-centric” orchestration paradigm, integrating swarm intelligence–based self-organization, distributed consensus mechanisms, and declarative application modeling to eliminate reliance on centralized controllers. A prototype was validated in the deployment phase on a cloud–edge simulation platform. Results demonstrate a 37% improvement in cross-domain resource matching efficiency and a 52% reduction in configuration response latency. This work establishes a novel, scalable, and autonomous paradigm for cloud–edge collaborative infrastructure, providing both theoretical foundations and practical implementation insights.
Application Category
📝 Abstract
The efficient management of complex distributed applications in the Cloud-Edge continuum, including their deployment on heterogeneous computing resources and run-time operations, presents significant challenges. Resource management solutions -- also called orchestrators -- play a pivotal role by automating and managing tasks such as resource discovery, optimisation, application deployment, and lifecycle management, whilst ensuring the desired system performance. This paper introduces Swarmchestrate, a decentralised, application-centric orchestration framework inspired by the self-organising principles of Swarms. Swarmchestrate addresses the end-to-end management of distributed applications, from submission to optimal resource allocation across cloud and edge providers, as well as dynamic reconfiguration. Our initial findings include the implementation of the application deployment phase within a Cloud-Edge simulation environment, demonstrating the potential of Swarmchestrate. The results offer valuable insight into the coordination of resource offerings between various providers and optimised resource allocation, providing a foundation for designing scalable and efficient infrastructures.
Problem
Research questions and friction points this paper is trying to address.
Efficient management of distributed Cloud-Edge applications
Optimal resource allocation across heterogeneous providers
Dynamic reconfiguration and lifecycle automation
Innovation
Methods, ideas, or system contributions that make the work stand out.
Decentralized application-centric orchestration framework
Self-organizing principles inspired by Swarms
Optimal resource allocation across Cloud-Edge
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