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
Link To Document :
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