Please use this identifier to cite or link to this item:
Publication type: Article in scientific journal
Type of review: Peer review (publication)
Title: Elastic scaling of cloud application performance based on Western Electric rules by injection of aspect-oriented code
Authors : Benz, Konstantin
Bohnert, Thomas M.
DOI : 10.21256/zhaw-3337
Published in : Procedia Computer Science
Volume(Issue) : 61
Pages : 198
Pages to: 205
Issue Date: 2015
Publisher / Ed. Institution : Elsevier
ISSN: 1877-0509
Language : English
Subjects : Cloud computing; Autoscaling; Virtualization; Elasticity; Scalability; Availability; Reliability; Performance; Western Electric rule; Statistical process control; Aspect-oriented code
Subject (DDC) : 004: Computer science
Abstract: The main benefit of cloud computing lies in the elasticity of virtual resources that are provided to end users. Cloud users do not have to pay fixed hardware costs and are charged for consumption of computing resources only. While this might be an improvement for software developers who use the cloud, application users and consumers might rather be interested in paying for application performance than resource consumption. However there is little effort on providing elasticity based on performance goals instead of resource consumption. In this paper an autoscaling method is presented which aims at providing increased application performance as it is demanded by consumers. Elastic scaling is based on “statistical process monitoring and control” and “Western Electric rules”. By demonstrating the architecture of the autoscaling method and providing performance measurements gathered in an OpenStack cloud environment, we show how the injection of aspect-oriented code into cloud applications allows for improving application performance by automatically adapting the underlying virtual environment to pre-defined performance goals. The effectiveness of the autoscaling method is verified by an experiment with a test program which shows that the program executes in only half of the time which is required if no autoscaling capabilities are provided.
Fulltext version : Published version
License (according to publishing contract) : CC BY-NC-ND 4.0: Attribution - Non commercial - No derivatives 4.0 International
Departement: School of Engineering
Organisational Unit: Institute of Applied Information Technology (InIT)
Appears in Collections:Publikationen School of Engineering

Files in This Item:
File Description SizeFormat 
2015_Benz_Elastic_scaling_of_cloud_application_performance.pdf445.48 kBAdobe PDFThumbnail

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.