MURAL - Maynooth University Research Archive Library



    Modeling and Simulation of Multi-tier Enterprise IT System


    Puvvala, Abhinay and Rai, Veerendra K. (2018) Modeling and Simulation of Multi-tier Enterprise IT System. In: PACIS 2018 Proceedings. AIS eLibrary. ISBN 9784902590838

    [img]
    Preview
    Download (1MB) | Preview
    Official URL: https://aisel.aisnet.org/pacis2018/241


    Share your research

    Twitter Facebook LinkedIn GooglePlus Email more...



    Add this article to your Mendeley library


    Abstract

    This paper discusses modelling and simulation of multi-tier enterprise IT system. The layers in multi-tier architecture consist of web layer, application layer and database layer. Entities in the multi-tier system have been abstracted out into 3 categories- consumer, resource and router. Existing modelling and simulation frameworks for multi-tier systems focus on power management or performance of load balancing algorithms. Our framework enables seamless modelling, simulation, and experimentation of a wide range of what-if scenarios in multi-tier systems while encapsulating all the variations that arise due to configuration, composition, design and deployment. As an illustration, we discuss and simulate prediction of bottleneck scenario with results.

    Item Type: Book Section
    Additional Information: Cite as: Puvvala, Abhinay and Rai, Veerendra Kumar, "Modeling and Simulation of Multi-tier Enterprise IT System" (2018). PACIS 2018 Proceedings. 241. https://aisel.aisnet.org/pacis2018/241
    Keywords: Enterprise IT; Multi-Tier System; Simulation framework; What-if scenarios;
    Academic Unit: Faculty of Social Sciences > Research Institutes > Innovation Value Institute, IVI
    Faculty of Social Sciences > School of Business
    Item ID: 13422
    Depositing User: Abhinay Puvvala
    Date Deposited: 07 Oct 2020 15:58
    Publisher: AIS eLibrary
    Refereed: Yes
    URI:

    Repository Staff Only(login required)

    View Item Item control page

    Downloads

    Downloads per month over past year