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Scalability Analysis of Cloud Software Services

Scalability Analysis of Cloud Software Services

Category
Part of a book/report
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.
Client
  • Norges forskningsråd / 256669
Language
English
Author(s)
Affiliation
  • SINTEF Digital / Software Engineering, Safety and Security
  • Bavarian Julius-Maximilians University of Würzburg
  • Slovenia
Year
2017
Published in
Proceedings of the International Conference on Autonomic Computing
ISSN
2474-0764
Publisher
IEEE
Book
2017 IEEE International Conference on Autonomic Computing, Columbus, Ohio 17-21 July, 2017
Booklet
2017
ISBN
978-1-5386-1761-8
Page(s)
285 - 292