Title: A fog-based approach for distributed cloud testing: a VR-assist rental testing case study

Authors: Fatima Zahra Moutai; Sara Hsaini; Salma Azzouzi; My El Hassan Charaf

Addresses: Faculty of Science, Ibn Tofail University, Kenitra, Morocco ' Faculty of Science, Ibn Tofail University, Kenitra, Morocco ' Faculty of Science, Ibn Tofail University, Kenitra, Morocco ' Faculty of Science, Ibn Tofail University, Kenitra, Morocco

Abstract: Cloud computing offers the opportunity to improve productivity and reduce costs. However, this technology faces high latency problems. In this context, a decentralised cloud paradigm has been introduced in order to bring geographically cloud services close to users. Moreover, the growth of personal devices has stimulated cloud services with further requirements such as compliance (conformance) with a standard or high traffic volume. To cope with these problems, we need assessments to test for example how these requirements can affect the performance degradation in such environments and how we can enhance the distributed cloud architecture in order to perform the end-users objectives. The main contribution in this paper is to suggest a distributed testing approach derived from 'fog computing' design and leveraging its advantages especially optimising response time requirement. To this end, we present a comprehensive survey on distributed cloud architectures, and then we formally suggest a new architecture for testing in such environments. Finally, we illustrate our approach through a case study.

Keywords: distributed testing; distributed cloud; edge; core; internet of things; IoT.

DOI: 10.1504/IJPT.2022.121837

International Journal of Powertrains, 2022 Vol.11 No.1, pp.1 - 18

Received: 29 Feb 2020
Accepted: 09 Feb 2021
Published online: 07 Apr 2022 *

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