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2010 IEEE 3rd International Conference on Cloud Computing
Data Flow Driven Scheduling of BPEL Workflows Using Cloud Resources
Miami, Florida
July 05-July 10
ISBN: 978-0-7695-4130-3
ASCII Text
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Tim Dörnemann, Ernst Juhnke, Thomas Noll, Dominik Seiler, Bernd Freisleben, "Data Flow Driven Scheduling of BPEL Workflows Using Cloud Resources," 2012 IEEE Fifth International Conference on Cloud Computing, pp. 196-203, 2010 IEEE 3rd International Conference on Cloud Computing, 2010.
 
 
BibTex
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@article{ 10.1109/CLOUD.2010.40,
author = {Tim Dörnemann and Ernst Juhnke and Thomas Noll and Dominik Seiler and Bernd Freisleben},
title = {Data Flow Driven Scheduling of BPEL Workflows Using Cloud Resources},
journal ={2012 IEEE Fifth International Conference on Cloud Computing},
volume = {0},
year = {2010},
isbn = {978-0-7695-4130-3},
pages = {196-203},
doi = {http://doi.ieeecomputersociety.org/10.1109/CLOUD.2010.40},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
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TY - CONF
JO - 2012 IEEE Fifth International Conference on Cloud Computing
TI - Data Flow Driven Scheduling of BPEL Workflows Using Cloud Resources
SN - 978-0-7695-4130-3
SP196
EP203
A1 - Tim Dörnemann,
A1 - Ernst Juhnke,
A1 - Thomas Noll,
A1 - Dominik Seiler,
A1 - Bernd Freisleben,
PY - 2010
KW - BPEL
KW - SOA
KW - Data flow
KW - scheduling
KW - workflow
KW - Cloud
KW - genetic algorithm
VL - 0
JA - 2012 IEEE Fifth International Conference on Cloud Computing
ER -
 
In this paper, an approach to assign BPEL workflow steps to available resources is presented. The approach takes data dependencies between workflow steps and the utilization of resources at runtime into account. The developed scheduling algorithm simulates whether the makespan of workflows could be reduced by providing additional resources from a Cloud infrastructure. If yes, Cloud resources are automatically set up and used to increase throughput. The proposed approach does not require any changes to the BPEL standard. An implementation based on the ActiveBPEL engine and Amazon's Elastic Compute Cloud is presented. Experimental results for a real-life workflow from a medical application indicate that workflow execution times can be reduced significantly.
Index Terms:
BPEL, SOA, Data flow, scheduling, workflow, Cloud, genetic algorithm
Citation:
Tim Dörnemann, Ernst Juhnke, Thomas Noll, Dominik Seiler, Bernd Freisleben, "Data Flow Driven Scheduling of BPEL Workflows Using Cloud Resources," cloud, pp.196-203, 2010 IEEE 3rd International Conference on Cloud Computing, 2010
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