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.
BibTeX
Abstract
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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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 |
Associations
- People
- Waibel, Philipp (Former researcher)
- Yeshchenko, Anton (Details)
- Mendling, Jan (Details)
- External
- Schulte, Stefan (TU Wien, Austria)
- Organization
- Institute for Data, Process and Knowledge Management (AE Sabou) (Details)