Title: ACSmI: a solution to address the challenges of cloud services federation and monitoring towards the cloud continuum

Authors: Juncal Alonso; Maider Huarte; Leire Orue-Echevarria Arrieta

Addresses: TECNALIA, Basque Research and Technology Alliance (BRTA), Parque Científico y Tecnológico de Bizkaia, Astondo Bidea, 700, E-48160 Derio, Spain ' Department of Communications Engineering, Faculty of Engineering, University of the Basque Country UPV/EHU, Alda. Urquijo S/N, 48013, Bilbao, Spain ' TECNALIA, Basque Research and Technology Alliance (BRTA), Parque Científico y Tecnológico de Bizkaia, Astondo Bidea, 700, E-48160 Derio, Spain

Abstract: The evolution of cloud computing has changed the way in which cloud service providers offer their services and how cloud customers consume them, moving towards the use of multiple cloud services, in what it is called multi-cloud. Multi-cloud is gaining interest by the expansion of IoT, edge and the cloud continuum where distributed cloud federation models are necessary for effective application deployment and operation. This work presents advanced cloud service meta-intermediator (ACSmI), a solution that implements a cloud federation, supporting the seamless brokerage of cloud services. Technical details addressing the discovered shortcomings are presented, including a proof of concept built on JHipster, Java, InfluxDB, Telegraf and Grafana. ACSmI contributes to relevant elements of the European Gaia-X initiative, specifically to the federated catalogue, continuous monitoring, and certification of services. The experiments show that proposed solution effectively saves up to 75% of the DevOps teams' effort to discover, contract and monitor cloud services.

Keywords: cloud service broker; CSB; cloud services federation; cloud services brokerage; cloud services intermediation; hybrid cloud; cloud service monitoring; cloud services intermediation; multi-cloud; DevOps; cloud service level agreement; CSLA; cloud service discovery; multi-cloud service management; cloud continuum.

DOI: 10.1504/IJCSE.2023.133676

International Journal of Computational Science and Engineering, 2023 Vol.26 No.5, pp.537 - 554

Received: 14 Dec 2020
Accepted: 22 Mar 2021
Published online: 29 Sep 2023 *

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