Cloud BI: Future of business intelligence in the Cloud

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

Research output: Contribution to journalArticle

20 Citations (Scopus)

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.

LanguageEnglish
Pages85-96
Number of pages12
JournalJournal of Computer and System Sciences
Volume81
Issue number1
Early online date25 Jun 2014
DOIs
Publication statusPublished - Feb 2015
Externally publishedYes

Fingerprint

Business Intelligence
Competitive intelligence
Online Analytical Processing
Servers
Server
Cloud computing
Processing
Cloud Computing
OPNET
Cloud Model
Data warehouses
Data Warehouse
Relational Database
Parallel Processing
Networking
Simulation
Traffic
Query
Resources

Cite this

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Cloud BI : Future of business intelligence in the Cloud. / Al-Aqrabi, Hussain; Liu, Lu; Hill, Richard; Antonopoulos, Nick.

In: Journal of Computer and System Sciences, Vol. 81, No. 1, 02.2015, p. 85-96.

Research output: Contribution to journalArticle

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