Towards a Decentralised Application-Centric Orchestration Framework in the Cloud-Edge Continuum
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arXiv
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| Autores principales: | , , , , , , , |
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| Formato: | Preprint |
| Publicado: |
2025
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| _version_ | 1866912303724625920 |
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| author | Ullah, Amjad Markus, Andras Aslan, Hacı İsmail Kiss, Tamas Kovacs, Jozsef Deslauriers, James Murphy, Amy L. Kao, Yiming Wang Odej |
| author_facet | Ullah, Amjad Markus, Andras Aslan, Hacı İsmail Kiss, Tamas Kovacs, Jozsef Deslauriers, James Murphy, Amy L. Kao, Yiming Wang Odej |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2504_00761 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Towards a Decentralised Application-Centric Orchestration Framework in the Cloud-Edge Continuum Ullah, Amjad Markus, Andras Aslan, Hacı İsmail Kiss, Tamas Kovacs, Jozsef Deslauriers, James Murphy, Amy L. Kao, Yiming Wang Odej Distributed, Parallel, and Cluster Computing Neural and Evolutionary Computing Networking and Internet Architecture 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. |
| title | Towards a Decentralised Application-Centric Orchestration Framework in the Cloud-Edge Continuum |
| topic | Distributed, Parallel, and Cluster Computing Neural and Evolutionary Computing Networking and Internet Architecture |
| url | https://arxiv.org/abs/2504.00761 |