To main content

Scalability Analysis of Cloud Software Services

Abstract

Cloud computing theoretically offers its customers unlimited cloud resources. However, the scalability of software services is often limited by their underlying architecture. In contrast to current scalability analysis approaches, we make work parameters, quality thresholds, as well as the resource space explicit in a conceptually consistent set of equations. We propose two scalability metric functions based on these equations. The resource scalability metric function describes the relation between the capacity of the multi-tier cloud software service and its use of cloud resources, whereas the cost scalability metric function replaces cloud resources with cost. We validate using the Cloud-Store application. CloudStore follows the TPC-W specification, representing an online book store. We have experimented with 21 different public Amazon Web Service configurations and two private OpenStack configurations.
Read publication

Category

Academic chapter/article/Conference paper

Client

  • Research Council of Norway (RCN) / 256669

Language

English

Author(s)

Affiliation

  • SINTEF Digital / Software Engineering, Safety and Security
  • Julius-Maximilians University of Würzburg
  • Slovenia

Year

2017

Publisher

IEEE (Institute of Electrical and Electronics Engineers)

Book

2017 IEEE International Conference on Autonomic Computing, Columbus, Ohio 17-21 July, 2017

Issue

2017

ISBN

978-1-5386-1761-8

Page(s)

285 - 292

View this publication at Cristin