Quotation Waibel, Philipp, Yeshchenko, Anton, Mendling, Jan, Schulte, Stefan. 2018. Optimized Container-Based Process Execution in the Cloud. Lecture Notes in Computer Science (LNCS). 11230 3-21.




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.


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Publication's profile

Status of publication Published
Affiliation WU
Type of publication Journal article
Journal Lecture Notes in Computer Science (LNCS)
WU-Journal-Rating new STRAT-C
Language English
Title Optimized Container-Based Process Execution in the Cloud
Volume 11230
Year 2018
Page from 3
Page to 21
DOI http://dx.doi.org/10.1007/978-3-030-02671-4_1
Open Access N


Waibel, Philipp (Former researcher)
Yeshchenko, Anton (Details)
Mendling, Jan (Details)
Schulte, Stefan (TU Wien, Austria)
Institute for Data, Process and Knowledge Management (AE Sabou) (Details)
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