Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Conference Papers Conference Paper Faculty Publications- Conference Papers Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Analysis of Workloads for Cloud Services Subject The topic of the resource Cloud Computing; Cloud Tiers; Data sets; Worflows; Workloads Description An account of the resource Capturing best quality datasets for a study is the first evidence for better outcomes of research. If the analysis are based on such datasets, then the metrics, the characteristics and few factors determines proof point for well proven theories. Hence it is obvious that we rely on the best possible ways to arrive at such data acquiring sources. It can be either based on historical techniques or from the innovations in application of it to industry. This paper introduces a mapping framework for analyzing, and characterizing data previously used by research community and how they are made to fit for Cloud systems, i.e. using 'workloads' and 'datasets' as the 'refined definitions'. It was contributed in the past two decades within the scientific community setting their own workflow analysis mechanisms. The framework thus is validated by acquiring a sample workload per layer of cloud. The sources are form the literature that are available from existing scientific theories. These workloads are then experimented against the three tiers of the cloud computing ie., IaaS(Infrastructure as a Service), PaaS(Platform as a Service), &amp; SaaS(Software as a Service). The selected data is analyzed by the authors for an offline model presented here based on the Machine Learning tool-kits. There are future studies planned for and to be experimented in a cloud auto scaled environment with online model as well. 2022 IEEE. Creator An entity primarily responsible for making the resource Sankaran L.; Saleema J.S.; Suleiman B. Source A related resource from which the described resource is derived Proceedings - 2022 IEEE/ACIS 7th International Conference on Big Data, Cloud Computing, and Data Science, BCD 2022, pp. 117-123. Publisher An entity responsible for making the resource available Institute of Electrical and Electronics Engineers Inc. Date A point or period of time associated with an event in the lifecycle of the resource 2022-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/BCD54882.2022.9900564" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/BCD54882.2022.9900564</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85141439570&amp;doi=10.1109%2FBCD54882.2022.9900564&amp;partnerID=40&amp;md5=22c940ecb7675593d62470dc2e07c85f" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85141439570&amp;doi=10.1109%2fBCD54882.2022.9900564&amp;partnerID=40&amp;md5=22c940ecb7675593d62470dc2e07c85f</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 978-166546582-3 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Conference paper Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Sankaran L., CHRIST (Deemed to Be University), Department of Computer Science, Bengaluru, India; Saleema J.S., CHRIST (Deemed to Be University), Department of Computer Science, Bengaluru, India; Suleiman B., University of Sydney, Faculty of Engineering, Sydney, Australia