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A Scalable Accounting Solution for Prepaid Services in Cloud Systems
Umeå University, Faculty of Science and Technology, Department of Computing Science.
Umeå University, Faculty of Science and Technology, Department of Computing Science.
Umeå University, Faculty of Science and Technology, Department of Computing Science.
Umeå University, Faculty of Science and Technology, Department of Computing Science.
2012 (English)In: Proceedings of the 2012 IEEE Ninth International Conference on Services Computing, 2012, 81-89 p.Conference paper, Published paper (Refereed)
Abstract [en]

Prepaid charging, an essential option for the accounting of cloud services, provides effective financial control for both service providers and customers. However, it has to be supported by real-time credit checking and cost calculation. These real-time actions consume resources of the providers' network and impose high overhead. To tackle this issue, we present a scalable accounting solution in which an accounting component is hosted in every cluster constituting a cloud system. Each of our accounting component supervises service consumptions based on a calculated interval of a service bundle that is composed of all services hosted in a cluster and consumed by one customer simultaneously. Credit will be re-allocated when a customer's credit in one cluster is not enough to compensate further usage, and the allocation is performed based on service consumptions. This work is intended to reduce the cost of prepaid services and to ensure service provision is not hampered by the charging part. Additionally, we perform theoretical and experimental analyses that indicate this work can provide an inexpensive accounting solution for the long-lived services in storage clouds.

Place, publisher, year, edition, pages
2012. 81-89 p.
Series
SCC ’12
Keyword [en]
Accounting Systems, prepaid accounting
National Category
Engineering and Technology Computer and Information Science
Identifiers
URN: urn:nbn:se:umu:diva-80122DOI: 10.1109/SCC.2012.40ISBN: 978-1-4673-3049-7 (print)OAI: oai:DiVA.org:umu-80122DiVA: diva2:646695
Conference
IEEE Ninth International Conference on Services Computing, Honolulu, HI, 24-29 June 2012
Available from: 2013-09-09 Created: 2013-09-09 Last updated: 2014-04-08Bibliographically approved
In thesis
1. Managing Resource Usage and Allocations in Multi-Cluster Clouds
Open this publication in new window or tab >>Managing Resource Usage and Allocations in Multi-Cluster Clouds
2013 (English)Licentiate thesis, comprehensive summary (Other academic)
Abstract [en]

 The emergence of large-scale Internet services has fueled a trend toward large-scale systems composed of geographically distributed clusters. Managing resource allocations and resource usage is an important task for such services.

Resource allocations and resource usage management mechanisms for services running across clusters play vital roles in the performance of the entire system, economical sustainability of the provider, and level of customers satisfaction provided by the system. However, when providing the utmost customer satisfaction the service provider ought to make sure not to over-commit resources beyond the agreed limit between the customer and the provider. Moreover, statistics of resources consumed by different services should be monitored and collected using an efficient mechanism with minimal overhead and interference on the system and the services. Thus, resource usage collection and allocations mechanisms should impose economical constraints to both sides, the customer and the cloud provider.

This thesis focuses on decentralized resource allocation and resource usage management for services running in multi cluster environments. Theoretical as well as experimental results indicate that our proposed approaches provide efficient management of resources for services running in a large-scale geographically distributed systems.

Place, publisher, year, edition, pages
Umeå: Umeå universitet, 2013. 26 p.
Series
Report / UMINF, ISSN 0348-0542 ; 13.16
National Category
Engineering and Technology Computer Science
Research subject
Computer Science
Identifiers
urn:nbn:se:umu:diva-87580 (URN)978-91-7459-687-8 (ISBN)
Presentation
2013-06-13, MA121, MIT-building, Umeå University, Umeå, 10:00 (English)
Opponent
Supervisors
Funder
EU, FP7, Seventh Framework ProgrammeeSSENCE - An eScience Collaboration
Available from: 2014-04-08 Created: 2014-04-04 Last updated: 2014-04-08Bibliographically approved

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Xu, LeiLakew, Ewnetu BayuhHernandez-Rodriguez, FranciscoElmroth, Erik

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CiteExportLink to record
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Citation style
  • apa
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Output format
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