Talks and Poster Presentations (with Proceedings-Entry):

P. Hönisch, S. Schulte, S. Venugopal, S. Dustdar:
"Self-Adaptive Resource Allocation for Elastic Process Execution";
Talk: IEEE Sixth International Conference on Cloud Computing, CLOUD 2013, Santa Clara, CA, USA; 2013-06-27 - 2013-07-02; in: "Proceedings of the IEEE Sixth International Conference on Cloud Computing, CLOUD 2013", IEEE Computer Society, (2013), ISBN: 978-0-7695-5028-2; 220 - 227.

English abstract:
Especially in large companies, business process landscapes may be made up from thousands of different process definitions and instances. As a result, a Business Process Management System (BPMS) needs to be able to handle the concurrent execution of a very large number of workflow steps. Many of these workflow steps may be resource-intensive, leading to ever-changing requirements regarding the needed computing resources to execute them.
Using Cloud technologies, it is possible to allocate workflow
steps to resources obtained on demand from Cloud platform
providers. However, current BPMS do not feature the means to
make use of Cloud resources in order to execute workflows. This
work presents an approach to automatically lease and release Cloud resources for workflow executions based on knowledge about the current and future process landscape. This approach to self-adaptive resource allocation for elastic process execution is implemented as part of ViePEP, a research BPMS able to handle workflow executions in the Cloud.

"Official" electronic version of the publication (accessed through its Digital Object Identifier - DOI)

Related Projects:
Project Head Schahram Dustdar:
Erweiterte Diagnose und Testen für SOAs - Audit 4 SOAs

Project Head Schahram Dustdar:
Titel deutsch

Created from the Publication Database of the Vienna University of Technology.