Change search
ReferencesLink to record
Permanent link

Direct link
A time interval-based credit reservation approach for prepaid composite services in cloud environments
Umeå University, Faculty of Science and Technology, Department of Computing Science. (UMIT)
Umeå University, Faculty of Science and Technology, Department of Computing Science. (UMIT)
2011 (English)In: Web Services (ECOWS), 2011 Ninth IEEE European Conference on, 2011, 158-165 p.Conference paper (Refereed)
Abstract [en]

A typical business model in cloud environments for service providers is the provision of composite services built from resources and services offered by other providers. Customers of these composite services can make an advance payment before consumption. In this scenario, accounting systems will supervise each service comprising given composite services individually. As the number of constituent services and requests submitted by customers increase dramatically, scalability issues arise. To tackle this problem, we present an approach that estimates the highest cost of a given composite service composed of multiple pre-paid services, and then calculates the duration of a time interval based on which accounting systems access and update target customers' account. It is intended to reduce overhead imposed by supervising services individually in real-time. Commercial agreements between involved business partners and potential economic compensations due to the violation of Service Level Agreement (SLA) are mirrored in the cost estimation.

Place, publisher, year, edition, pages
2011. 158-165 p.
National Category
Computer Science
URN: urn:nbn:se:umu:diva-51027DOI: 10.1109/ECOWS.2011.14ISBN: 978-1-4577-1532-7 (print)OAI: diva2:474209
ECOWS 2011: The European Conference on Web Services, 14-16 september 2011, Lugano Switzerland
Available from: 2012-01-09 Created: 2012-01-09 Last updated: 2012-02-01Bibliographically approved

Open Access in DiVA

No full text

Other links

Publisher's full text

Search in DiVA

By author/editor
Xu, LeiElmroth, Erik
By organisation
Department of Computing Science
Computer Science

Search outside of DiVA

GoogleGoogle Scholar
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

Altmetric score

Total: 24 hits
ReferencesLink to record
Permanent link

Direct link