TUHH Open Research
Help
  • Log In
    New user? Click here to register.Have you forgotten your password?
  • English
  • Deutsch
  • Communities & Collections
  • Publications
  • Research Data
  • People
  • Institutions
  • Projects
  • Statistics
  1. Home
  2. TUHH
  3. Publication References
  4. ViePEP-C: A Container-Based Elastic Process Platform
 
Options

ViePEP-C: A Container-Based Elastic Process Platform

Publikationstyp
Journal Article
Date Issued
2021-01-01
Sprache
English
Author(s)
Waibel, Philipp  
Hochreiner, Christoph  
Schulte, Stefan  
Koschmider, Agnes  
Mendling, Jan  
TORE-URI
http://hdl.handle.net/11420/11348
Journal
IEEE transactions on cloud computing  
Volume
9
Issue
4
Start Page
1657
End Page
1674
Citation
IEEE Transactions on Cloud Computing 9 (4): 1657-1674 (2021)
Publisher DOI
10.1109/TCC.2019.2912613
Scopus ID
2-s2.0-85121025353
Business Process Management Systems (BPMS) need to be able to take into account the fluctuating demand for computational resources during the execution of business process activities. Today, BPMS rely on the leasing and releasing of virtual machines (VMs) on cloud resources, which leads to a rather coarse-grained allocation of computational resources. This may result in an increase in the execution cost, flexibility restrictions, and a negative impact on the Quality of Service. In order to overcome these drawbacks, we introduce the Vienna Platform for Elastic Processes on Containers (ViePEP-C). ViePEP-C is an elastic BPMS that uses containers instead of VMs for the execution of business process activities on cloud resources, leading to a more fine-grained execution environment. To achieve this, ViePEP-C offers cloud controller, monitoring and business process execution functionalities and provides a platform for different resource and task scheduling algorithms. To evaluate the benefits of ViePEP-C, we further present a resource and task scheduling algorithm and show that, by using containers as execution environment, the execution cost can be decreased by over 20 percent (compared to a state-of-the-art VM-based scheduling algorithm) while considering a high service level.
Subjects
business process management
Cloud computing
containers
elastic processes
TUHH
Weiterführende Links
  • Contact
  • Send Feedback
  • Cookie settings
  • Privacy policy
  • Impress
DSpace Software

Built with DSpace-CRIS software - Extension maintained and optimized by 4Science
Design by effective webwork GmbH

  • Deutsche NationalbibliothekDeutsche Nationalbibliothek
  • ORCiD Member OrganizationORCiD Member Organization
  • DataCiteDataCite
  • Re3DataRe3Data
  • OpenDOAROpenDOAR
  • OpenAireOpenAire
  • BASE Bielefeld Academic Search EngineBASE Bielefeld Academic Search Engine
Feedback