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dc.contributor.authorAl-Aqrabi, Hussain
dc.contributor.authorLiu, Lu
dc.contributor.authorHill, Richard
dc.contributor.authorAntonopoulos, Nikolaos
dc.date.accessioned2016-11-16T17:26:00Z
dc.date.available2016-11-16T17:26:00Z
dc.date.issued2014-06-25
dc.identifier.citationAl-Aqrabi, H. (2015) 'Cloud BI: Future of business intelligence in the Cloud', Journal of Computer and System Sciences, 81 (1):85en
dc.identifier.issn00220000
dc.identifier.doi10.1016/j.jcss.2014.06.013
dc.identifier.urihttp://hdl.handle.net/10545/620869
dc.description.abstractIn self-hosted environments it was feared that business intelligence (BI) will eventually face a resource crunch situation due to the never ending expansion of data warehouses and the online analytical processing (OLAP) demands on the underlying networking. Cloud computing has instigated a new hope for future prospects of BI. However, how will BI be implemented on Cloud and how will the traffic and demand profile look like? This research attempts to answer these key questions in regards to taking BI to the Cloud. The Cloud hosting of BI has been demonstrated with the help of a simulation on OPNET comprising a Cloud model with multiple OLAP application servers applying parallel query loads on an array of servers hosting relational databases. The simulation results reflected that extensible parallel processing of database servers on the Cloud can efficiently process OLAP application demands on Cloud computing.
dc.language.isoenen
dc.publisherElsevieren
dc.relation.urlhttp://linkinghub.elsevier.com/retrieve/pii/S0022000014001007en
dc.rightsArchived with thanks to Journal of Computer and System Sciencesen
dc.subjectBusiness intelligenceen
dc.subjectOnline analytical processingen
dc.subjectCloud computingen
dc.subjectSoftware-as-a-serviceen
dc.titleCloud BI: Future of business intelligence in the Clouden
dc.typeArticleen
dc.contributor.departmentUniversity of Derbyen
dc.identifier.journalJournal of Computer and System Sciencesen
refterms.dateFOA2019-02-28T14:55:38Z
html.description.abstractIn self-hosted environments it was feared that business intelligence (BI) will eventually face a resource crunch situation due to the never ending expansion of data warehouses and the online analytical processing (OLAP) demands on the underlying networking. Cloud computing has instigated a new hope for future prospects of BI. However, how will BI be implemented on Cloud and how will the traffic and demand profile look like? This research attempts to answer these key questions in regards to taking BI to the Cloud. The Cloud hosting of BI has been demonstrated with the help of a simulation on OPNET comprising a Cloud model with multiple OLAP application servers applying parallel query loads on an array of servers hosting relational databases. The simulation results reflected that extensible parallel processing of database servers on the Cloud can efficiently process OLAP application demands on Cloud computing.


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