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User-Friendly Orchestration Management Proposal

Authors: Rojas Yepes, Pablo Josue; Hernández, Carlos Jaime Barrios; Carrillo, Oscar; Le Mouël, Frédéric;

User-Friendly Orchestration Management Proposal

Abstract

Computing Continuum, with its diverse architectures and distributed features, presents certain challenges in managing and orchestrating resources. Traditional orchestration often requires specialized knowledge, which can be a barrier for users who may lack expertise. In this paper, we introduce User-Friendly Orchestration Management (UFOM), an innovative approach designed to simplify the orchestration of containerized services. With an intuitive interface, automated workflows, and contextual support, UFOM streamlines the entire process. Importantly, UFOM integrates seamlessly with Osmotic Computing, enabling smooth interactions between users and technology. This novel approach democratizes orchestration, empowering users to deploy and manage applications with minimal technical difficulty. We will examine its impact on Quality of Experience (QoE) and present a case study on smart home automation. This case study highlights the capabilities of UFOM in real-world environments, stressing its effectiveness in streamlining deployment, monitoring, and maintenance. Our findings suggest that UFOM not only fosters user independence, but also maintains system reliability and efficiency.

Keywords

DevOps, Service, [INFO.INFO-MC] Computer Science [cs]/Mobile Computing, [INFO.INFO-OS] Computer Science [cs]/Operating Systems [cs.OS], Orchestration, [INFO.INFO-DC] Computer Science [cs]/Distributed, Parallel, and Cluster Computing [cs.DC], Osmotic Computing, QoS, [INFO.INFO-IU] Computer Science [cs]/Ubiquitous Computing, User QoE, Computing Continuum

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    influence
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green