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Workload-based optimization of integration processes

Published: 26 October 2008 Publication History

Abstract

The efficient execution of integration processes between distributed, heterogeneous data sources and applications is a challenging research area of data management. These integration processes are an abstraction for workflow-based integration tasks, used in EAI servers and WfMS. The major problem are significant workload changes during runtime. The performance of integration processes strongly depends on those dynamic workload characteristics, and hence workload-based optimization is important. However, existing approaches of workflow optimization only address the rule-based optimization and disregard changing workload characteristics. To overcome the problem of inefficient process execution in the presence of workload shifts, here, we present an approach for the workload-based optimization of instance-based integration processes and show that significant execution time reductions are possible.

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cover image ACM Conferences
CIKM '08: Proceedings of the 17th ACM conference on Information and knowledge management
October 2008
1562 pages
ISBN:9781595939913
DOI:10.1145/1458082
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 26 October 2008

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Author Tags

  1. integration processes
  2. optimization
  3. workload adaptation

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CIKM08
CIKM08: Conference on Information and Knowledge Management
October 26 - 30, 2008
California, Napa Valley, USA

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Overall Acceptance Rate 1,861 of 8,427 submissions, 22%

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  • (2018)Cost-based vectorization of instance-based integration processesInformation Systems10.1016/j.is.2010.06.00736:1(3-29)Online publication date: 29-Dec-2018
  • (2015)Data Integration Patterns for Data Warehouse AutomationNew Trends in Database and Information Systems II10.1007/978-3-319-10518-5_4(41-55)Online publication date: 2015
  • (2014)On-demand re-optimization of integration flowsInformation Systems10.1016/j.is.2014.03.00545(1-17)Online publication date: Sep-2014
  • (2011)Multi-flow Optimization via Horizontal Message Queue PartitioningEnterprise Information Systems10.1007/978-3-642-19802-1_3(31-47)Online publication date: 2011
  • (2009)Cost-Based Vectorization of Instance-Based Integration ProcessesProceedings of the 13th East European Conference on Advances in Databases and Information Systems10.1007/978-3-642-03973-7_19(253-269)Online publication date: 21-Aug-2009
  • (2009)Invisible Deployment of Integration ProcessesEnterprise Information Systems10.1007/978-3-642-01347-8_5(53-65)Online publication date: 2009
  • (2009)Vectorizing Instance-Based Integration ProcessesEnterprise Information Systems10.1007/978-3-642-01347-8_4(40-52)Online publication date: 2009

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