Dang-Nguyen, Duc-Tien ORCID: 0000-0002-2761-2213, Kesavulu, Manoj and Helfert, Markus ORCID: 0000-0001-6546-6408 (2018) Usage analytics: research directions to discover insights from cloud-based applications. In: International Conference on Smart Cities and Green ICT Systems (SMARTGREENS), 16-8 Mar 2018, Funchal, Madeira, Portugal. ISBN 978-989-758-292-9
Abstract
Usage in the software field deals with knowledge about how end-users use the application and how the application reacts to the users’ actions. In a complex and heterogeneous cloud computing environment, the process of extracting and analysing usage data is difficult since the usage data is spread across various front-end interfaces and back-end underlying infrastructural components of the cloud that host the application. In this paper we propose Usage Analytics, a set of potential research directions that could help tackle various challenges in the cloud domain. We provide an overview of usage analytics in the cloud environment and propose how to discover insights using these analytics solutions. We give some discussions about challenges in discovering insights from the usage data as well as provide vision of how usage data will bring benefits to the cloud environment.
Metadata
Item Type: | Conference or Workshop Item (Paper) |
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Event Type: | Conference |
Refereed: | Yes |
Uncontrolled Keywords: | Usage Analytics; Cloud-based Applications; User Satisfaction; Resource Provisioning |
Subjects: | Computer Science > Computer software Computer Science > Software engineering |
DCU Faculties and Centres: | DCU Faculties and Schools > Faculty of Engineering and Computing > School of Computing Research Institutes and Centres > Lero: The Irish Software Engineering Research Centre Research Institutes and Centres > ADAPT |
Published in: | Proceedings of the 7th International Conference on Smart Cities and Green ICT Systems. Proceedings of the International Conference on Smart Cities and Green ICT Systems . Sitepress. ISBN 978-989-758-292-9 |
Publisher: | Sitepress |
Official URL: | https://doi.org/10.5220/0006764002540261 |
Copyright Information: | © 2018 The Authors |
Use License: | This item is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 3.0 License. View License |
Funders: | Science Foundation Ireland grant 13/RC/2094, Co-funded under the European Regional Development Fund through the Southern & Eastern Regional Operational Programme to Lero |
ID Code: | 22276 |
Deposited On: | 23 Mar 2018 11:26 by Duc-Tien Dang-Nguyen . Last Modified 08 Nov 2021 14:38 |
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