A Novel Model for Cloud Computing Analytics and Measurement

Shams, Armin, Sharif, Hossein and Helfert, Markus (2021) A Novel Model for Cloud Computing Analytics and Measurement. Journal of Advances in Information Technology, 12 (2). pp. 93-106. ISSN 1798-2340

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Abstract

A Cloud Computing system is a complex system. The existing metric systems are inadequate for providing a high-fidelity picture of what is going on in the complex cloud and do not facilitate all the assessments needed by businesses. Therefore, we have proposed a novel model for cloud service measurement resulting in implementation of an ontology of cloud computing metrics (“web of metrics”). It provides an armada of measures, including the existing metrics and those which are novel in the cloud service analytics literature. Its novelty partially stems from the fields such as business management, and also emerges as a result of recognizing service client, service provider and service regulator analytics requirements. Thirty-five metric attributes for each of the several hundred metrics have been distinguished. The ontology and the measurements can be made consumable for businesses through Business Intelligence and data science software, and customized dashboards can be produced for case, as the metric ontology is multi-faceted and is customised given the use-case at hand in order to gain business advantage. A detailed practical example regarding the development of an Elasticity trust mark for the benefit of cloud users, cloud service providers and the regulators has been provided.

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