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Optimized container-based process execution in the cloud
Publikationstyp
Conference Paper
Date Issued
2018
Sprache
English
First published in
Number in series
11230 LNCS
Start Page
3
End Page
21
Citation
Confederated International Conferences - On the Move to Meaningful Internet Systems - (OTM 2018)
Contribution to Conference
Publisher DOI
Scopus ID
A key challenge for elastic business processes is the resource-efficient scheduling of cloud resources in such a way that Quality-of-Service levels are met. So far, this has been difficult, since existing approaches use a coarse-granular resource allocation based on virtual machines. In this paper, we present a technique that provides fine-granular resource scheduling for elastic processes based on containers. In order to address the increased complexity of the respective scheduling problem, we develop a novel technique called GeCo based on genetic algorithms. Our evaluation demonstrates that in comparison to a baseline that follows an ad hoc approach a cost saving between 32.90% and 47.45% is achieved by GeCo while considering a high service level.
Subjects
Business process management
Elastic processes
Optimization
Scheduling
Software containers