DocumentCode :
14517
Title :
Operational Business Intelligence: Processing Mixed Workloads
Author :
Seibold, Michael ; Jacobs, Daniel ; Kemper, Alfons
Author_Institution :
Tech. Univ. of Munich, Munich, Germany
Volume :
15
Issue :
5
fYear :
2013
fDate :
Sept.-Oct. 2013
Firstpage :
16
Lastpage :
21
Abstract :
Modern business applications have operational business intelligence features that require processing analytical queries and business transactions together at the same time and on the same data. This results in mixed workloads, which are a big challenge for current database management systems. Cloud computing fosters the development of data management systems optimized for specific application scenarios. The authors propose an architecture for software-as-a-service business applications that helps process these mixed workloads with a special-purpose main-memory database system, while meeting strict service-level objectives with stringent response-time and throughput guarantees.
Keywords :
business data processing; cloud computing; competitive intelligence; database management systems; software architecture; business transactions; cloud computing; database management systems; mixed workload processing; operational business intelligence; service-level objectives; software-as-a-service business applications; special-purpose main-memory database system; Competitive intelligence; Customer relationship management; Database systems; Query processing; Software development; Throughput; Time factors; SaaS; mixed workloads; operational business intelligence; software-as-a-service;
fLanguage :
English
Journal_Title :
IT Professional
Publisher :
ieee
ISSN :
1520-9202
Type :
jour
DOI :
10.1109/MITP.2012.68
Filename :
6205725
Link To Document :
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