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.


RIS


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.

Tags

Press 'enter' for creating the tag

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

Associations

People
Waibel, Philipp (Details)
Yeshchenko, Anton (Details)
Mendling, Jan (Details)
External
Schulte, Stefan (TU Wien, Austria)
Organization
Applied Information Technology with Focus on IT in Organization (Details)
Google Scholar: Search