Service Deployment Challenges in Cloud-to-Edge Continuum

Author:

Petcu Dana

Abstract

This position paper aims to identify the current and future challenges in application, workload or service deployment mechanisms in Cloud-to-Edge environments. We argue that the adoption of the microservices and unikernels on large scale is adding new entries on the list of requirements of a deployment mechanism, but offers an opportunity to decentralize the associated processes and improve the scalability of the applications. Moreover, the deployment in Cloud-to-Edge environment needs the support of federated machine learning.

Publisher

Scalable Computing: Practice and Experience

Subject

General Computer Science

Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Markov Blanket Composition of SLOs;2024 IEEE International Conference on Edge Computing and Communications (EDGE);2024-07-07

2. A Method for Selecting a Suitable Cloud Computing Deployment Strategy;2023 IEEE International Conference on e-Business Engineering (ICEBE);2023-11-04

3. A Scalable Semantic Framework for an Integrated Multi-Hazard Early Warning System;2023 International Conference on Artificial Intelligence, Big Data, Computing and Data Communication Systems (icABCD);2023-08-03

4. A Reference Architecture for Cloud–Edge Meta-Operating Systems Enabling Cross-Domain, Data-Intensive, ML-Assisted Applications: Architectural Overview and Key Concepts;Sensors;2022-11-21

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