Issue No. 05 - Sept.-Oct. (2013 vol. 15)
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/MITP.2012.68
Michael Seibold , Technical University of Munich, Germany
Dean Jacobs , SAP
Alfons Kemper , Technical University of Munich, Germany
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.
Throughput, Time factors, Database systems, Customer relationship management, Competitive intelligence, Software development, Query processing
Michael Seibold, Dean Jacobs, Alfons Kemper, "Operational Business Intelligence: Processing Mixed Workloads", IT Professional, vol. 15, no. , pp. 16-21, Sept.-Oct. 2013, doi:10.1109/MITP.2012.68