Article ID Journal Published Year Pages File Type
429534 Journal of Computer and System Sciences 2015 12 Pages PDF
Abstract

•Answer these key questions in regards to taking business intelligence to the Cloud.•The Cloud hosting of BI has been demonstrated with the help of simulation.•Efficiently process online analytical processing (OLAP) application demands on Cloud computing.

In 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.

Related Topics
Physical Sciences and Engineering Computer Science Computational Theory and Mathematics
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