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10.1109/ISPA.2012.68guideproceedingsArticle/Chapter ViewAbstractPublication PagesConference Proceedingsacm-pubtype
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Incorporating Business Intelligence in Cloud Marketplaces

Published: 10 July 2012 Publication History

Abstract

Cloud computing has changed considerably the architecture of modern IT systems introducing new design principles based on the notion of the service as main building unit. Decoupling the service offering from the underlying infrastructure, cloud computing allows for more efficient management of the required resources which in business level is translated into higher flexibility and increased profit. To this end, Clouds are not only an innovative technological environment but also a beneficial market for all the involved stakeholders. This market expands continuously and new service aggregations, customizations and business models are offered in order to cover the needs of all end-users. However, even in this new business ecosystem, the question still remains: "Which offering should I buy"? In this paper we present an approach for incorporating business intelligence in cloud marketplaces through a mechanism for answering this question based on the individual requirements and use profile of each particular cloud customer.

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  • (2016)Design science research contribution to business intelligence in the cloud - A systematic literature reviewFuture Generation Computer Systems10.1016/j.future.2015.11.01463:C(108-122)Online publication date: 1-Oct-2016
  1. Incorporating Business Intelligence in Cloud Marketplaces

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    Published In

    cover image Guide Proceedings
    ISPA '12: Proceedings of the 2012 IEEE 10th International Symposium on Parallel and Distributed Processing with Applications
    July 2012
    875 pages
    ISBN:9780769547015

    Publisher

    IEEE Computer Society

    United States

    Publication History

    Published: 10 July 2012

    Author Tags

    1. Business Models
    2. Business Requirements
    3. Cloud Computing
    4. Marketplace
    5. Service Level Agreement
    6. Service Resolution
    7. Service Selection

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    • (2016)Design science research contribution to business intelligence in the cloud - A systematic literature reviewFuture Generation Computer Systems10.1016/j.future.2015.11.01463:C(108-122)Online publication date: 1-Oct-2016

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