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    Usage Analytics: Research Directions to Discover Insights from Cloud-based Applications.


    Dang-Nguyen, Duc-Tien, Kesavulu, Manoj and Helfert, Markus (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.

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    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 frontend 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.
    Item Type: Conference or Workshop Item (Paper)
    Additional Information: This work was supported with the financial support of the Science Foundation Ireland grant 13/RC/2094 and co-funded under the European Regional Development Fund through the Southern & Eastern Regional Operational Programme to Lero - the Irish Software Research Centre (www.lero.ie).
    Keywords: Usage Analytics; Cloud-based Applications; User Satisfaction; Resource Provisioning;
    Academic Unit: Faculty of Social Sciences > Research Institutes > Innovation Value Institute, IVI
    Faculty of Social Sciences > School of Business
    Item ID: 13437
    Identification Number: 10.5220/0006764002540261
    Depositing User: Markus Helfert
    Date Deposited: 09 Oct 2020 16:26
    Refereed: Yes
    Funders: Science Foundation Ireland (SFI), European Regional Development Fund
    Related URLs:
    URI: https://mu.eprints-hosting.org/id/eprint/13437
    Use Licence: This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here

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