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.

RIS

@ARTICLE{Waibel2018,
title = {Optimized Container-Based Process Execution in the Cloud},
author = {Philipp Waibel and Anton Yeshchenko and Jan Mendling and Stefan Schulte},
year = {2018},
doi = {http://dx.doi.org/10.1007/978-3-030-02671-4_1},
volume = {11230},
language = {EN},
pages = {3-21},
journal = {Lecture Notes in Computer Science (LNCS)},
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.},
}