Quality of Data aware Optimization Techniques for Workflows
While many workflow languages,
execution engines, and analysis and optimization techniques have
been developed,
the research so far has
neglected the quality of data (QoD) aspects in the design, execution and
analysis of workflows. Until now, QoD for input data,
intermediate results and final results of workflows has not been dealt
and has been assumed under the responsibility of the users. However, this
assumption cannot be hold and the users cannot guarantee the QoD
in their workflows due to the complexity and scale of input data and
computational models and algorithms handling the input data and
intermediate results in their workflows. We need novel QoD-aware
techniques integrated into the workflow design and execution, otherwise, a lot of resources, energy and time, will be
wasted for the design and execution of workflows that produce
unacceptable quality of results.
- Measurement and analysis of QoD in workflows
- Workflow optimization based on QoD
Principal Investigators
External Collaborators, PhD students, Internship
Contact Hong-Linh Truong for further information.
Michael Reiter, Hong-Linh Truong, Schahram Dustdar, Dimka Karastoyanova, Robert Krause, Frank Leymann, Dieter Pahr, On Analyzing Quality of Data Infuences on Performance of Finite Elements driven Computational Simulations (Submitted PDF), 18th International European Conference on Parallel and Distributed Computing (EuroPar 2012), 27-31 August, 2012, Rhodes Island, Greece
Michael Reiter, Uwe Breitenbuecher, Schahram Dustdar, Dimka
Karastoyanova, Frank Leymann, Hong-Linh Truong, A
Novel Framework for Monitoring and Analyzing Quality of Data in
Simulation Workflows (Submitted
PDF), (c)IEEE Computer
Society, The 7th IEEE
International Conference on e-Science, 5-8 December, 2011,
Stockholm, Sweden. Accepted
Michael Reiter, Dimka Karastoyanova, Frank Leymann, Hong-Linh
Truong, "On The Measurement and
Analysis of Data Quality Metrics for Complex Simulations", ( Poster PDF), International Conference on Simulation Technology 2011, 14-17 June, 2011, Stuttgart, Germany.
Hong-Linh Truong, Schahram Dustdar "On Evaluating and
Publishing Data Concerns for Data as a Service" (Submitted PDF, Supplement Materials, ), The 2010 Asia-Pacific Services Computing Conference (IEEE APSCC 2010), (c) IEEE, December 6 - 10, 2010, Hangzhou, China Accepted.
Hong-Linh Truong
Last modified: Fri Oct 25 21:27:09 CEST 2013