Best Practices for Resource Provisioning Declaration Within the Cognitive Cloud Continuum
Moreschini, Sergio; Albano, Michele; Hastbacka, David (2024-12-27)
IEEE
27.12.2024
S. Moreschini, M. Albano and D. Hastbacka, "Best Practices for Resource Provisioning Declaration Within the Cognitive Cloud Continuum," 2024 50th Euromicro Conference on Software Engineering and Advanced Applications (SEAA), Paris, France, 2024, pp. 134-137, doi: 10.1109/SEAA64295.2024.00028
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© 2024 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists,or reuse of any copyrighted component of this work in other works.
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Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi:oulu-202503252201
https://urn.fi/URN:NBN:fi:oulu-202503252201
Tiivistelmä
Abstract
The evolution of cloud computing, driven by ad-vances in mobile, edge technologies, and AI, has led to the development of the Cognitive Cloud Continuum (COCLCON). However, this paradigm introduces new challenges in managing and optimizing computing resources across a heterogeneous environment. This paper explores best practices for declaring resources within COCLCON, with a focus on efficient resource allocation and transparently declaring available resources by de-vices. In this study, we undertook a non-holistic literature review to identify current technologies used to specify requirements and to determine current gaps in best practices. The main outcome of our work is a proposed schema for Resource Provisioning Declaration, which will allow for increased knowledge related to the available devices and resources within the COCLCON.
The evolution of cloud computing, driven by ad-vances in mobile, edge technologies, and AI, has led to the development of the Cognitive Cloud Continuum (COCLCON). However, this paradigm introduces new challenges in managing and optimizing computing resources across a heterogeneous environment. This paper explores best practices for declaring resources within COCLCON, with a focus on efficient resource allocation and transparently declaring available resources by de-vices. In this study, we undertook a non-holistic literature review to identify current technologies used to specify requirements and to determine current gaps in best practices. The main outcome of our work is a proposed schema for Resource Provisioning Declaration, which will allow for increased knowledge related to the available devices and resources within the COCLCON.
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