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On-Demand Resource Provisioning for BPEL Workflows Using Amazon's Elastic Compute Cloud

The work

AuthorsTim Dörnemann; Ernst Juhnke; Bernd Freisleben
Editors
Typemisc
Year2009
Citekeydornemann2009ondemand

Where it appeared

Published inIEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGrid)
Pages140--147

Identifiers

DOI10.1109/ccgrid.2009.30
OpenAlexW2131091094

From OpenAlex, which stores abstracts as an index of words and their positions: what is shown is rebuilt from that, and reads fluently whether or not it is what the author wrote.

Abstract

BPEL is the de facto standard for business process modeling in today's enterprises and is a promising candidate for the integration of business and Grid applications. Current BPEL implementations do not provide mechanisms to schedule service calls with respect to the load of the target hosts. In this paper, a solution that automatically schedules workflow steps to underutilized hosts and provides new hosts using Cloud computing infrastructures in peak-load situations is presented. 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.

How it got here

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Added2026-10-29 05:09 UTC
Not denied bya person 2026-10-29 17:12 UTC

Cite it as

@misc{dornemann2009ondemand,
  title        = {On-Demand Resource Provisioning for BPEL Workflows Using Amazon's Elastic Compute Cloud},
  author       = {Tim Dörnemann and Ernst Juhnke and Bernd Freisleben},
  year         = {2009},
  journal      = {IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGrid)},
  pages        = {140--147},
  doi          = {10.1109/ccgrid.2009.30},
}

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