DocumentCode
3090372
Title
Incorporating Business Intelligence in Cloud Marketplaces
Author
Gatzioura, Anna ; Menychtas, Andreas ; Moulos, Vrettos ; Varvarigou, Theodora
Author_Institution
Distrib., Knowledge & Media Syst. Lab., Nat. Tech. Univ. of Athens, Athens, Greece
fYear
2012
fDate
10-13 July 2012
Firstpage
466
Lastpage
472
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.
Keywords
business data processing; cloud computing; information technology; IT systems; business ecosystem; business level; cloud computing; cloud marketplaces; incorporating business intelligence; innovative technological environment; service offering; Biological system modeling; Cloud computing; Ecosystems; Engines; Pricing; Quality of service; Business Models; Business Requirements; Cloud Computing; Marketplace; Service Level Agreement; Service Resolution; Service Selection;
fLanguage
English
Publisher
ieee
Conference_Titel
Parallel and Distributed Processing with Applications (ISPA), 2012 IEEE 10th International Symposium on
Conference_Location
Leganes
Print_ISBN
978-1-4673-1631-6
Type
conf
DOI
10.1109/ISPA.2012.68
Filename
6280328
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