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
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