Cloud BI: Future of business intelligence in the Cloud

Al-Aqrabi, Hussain; Liu, Lu; Hill, Richard; Antonopoulos, Nick

Abstract

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.

Citation

Al-Aqrabi, H., Liu, L., Hill, R., & Antonopoulos, N. (2015). Cloud BI: Future of business intelligence in the Cloud. Journal of Computer and System Sciences, 81(1), 85-96. https://doi.org/10.1016/j.jcss.2014.06.013

• Journal Article Type: Article
• Acceptance Date: Jan 22, 2014
• Online Publication Date: Jun 25, 2014
• Publication Date: 2015-02
• Deposit Date: Feb 12, 2019
• Journal: Journal of Computer and System Sciences
• Print ISSN: 0022-0000
• Publisher: Elsevier
• Peer Reviewed: Peer Reviewed
• Volume: 81
• Issue: 1
• Pages: 85-96
• DOI: https://doi.org/10.1016/j.jcss.2014.06.013
• Keywords: Business intelligence, online analytical processing, cloud computing, software-as-a-service, database-as-a-service, massively parallel systems
• Public URL: http://researchrepository.napier.ac.uk/Output/1557149