Abstract
Success of Cloud computing requires that both customers and providers can be confident that signed Service Level Agreements (SLA) are supporting their respective business activities to their best extent. Currently used SLAs fail in providing such confidence, especially when providers outsource resources to other providers. These resource providers typically support very simple metrics, or metrics that hinder an efficient exploitation of their resources.
In this paper, we propose a resource-level metric for specifying fine-grain guarantees on CPU performance. This metric allows resource providers to allocate dynamically their resources among the running services depending on their demand. This is accomplished by incorporating the customer’s CPU usage in the metric definition, but avoiding fake SLA violations when the customer’s task does not use all its allocated resources. As demonstrated in our evaluation, which has been conducted in a virtualized provider where we have implemented the needed infrastructure for using our metric, our solution presents fewer SLA violations than other CPU-related metrics.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
The Grid Workloads Archive, http://gwa.ewi.tudelft.nl
Abrahao, B., Almeida, V., Almeida, J., Zhang, A., Beyer, D., Safai, F.: Self-Adaptive SLA-Driven Capacity Management for Internet Services. In: 10th IEEE/IFIP Network Operations and Management Symposium (NOMS 2006), Vancouver, Canada, April 3-7, pp. 557–568 (2006)
Amazon EC2, http://aws.amazon.com/ec2/
Andrieux, A., Czajkowski, K., Dan, A., Keahey, K., Ludwig, H., Pruyne, J., Rofrano, J., Tuecke, S., Xu, M.: Web Services Agreement Specification (WS-Agreement). In: Global Grid Forum GRAAP-WG, Draft (August 2004)
Aneka Software, http://www.manjrasoft.com/products.html
Appleby, K., Fakhouri, S., Fong, L., Goldszmidt, G., Krishnakumar, S., Pazel, D., Pershing, J., Rochwerger, B.: Oceano - SLA-based Management of a Computing Utility. In: Symposium on Integrated Network Management (IM 2001), Seattle, WA, USA, May 14-18, pp. 855–868 (2001)
Bennani, M., Menasce, D.: Resource Allocation for Autonomic Data Centers using Analytic Performance Models. In: 2nd International Conference on Autonomic Computing (ICAC 2005), Seattle, USA, June 13-16, pp. 229–240 (2005)
EU BREIN project, http://www.eu-brein.com
Ching, A., Sacks, L., McKee, P.: SLA Management and Resource Modelling for Grid Computing. In: London Communications Symposium (LCS 2003), London, UK, September 8-9 (2003)
van Dorst, W.: BogoMips mini-Howto. Tech. rep., Clifton Scientific Text Services V38 (March 2006)
Amazon EC2 Service Level Agreement, http://aws.amazon.com/ec2-sla/
Fitó, J.O., Goiri, I., Guitart, J.: SLA-driven Elastic Cloud Hosting Provider. In: 18th Euromicro Conference on Parallel, Distributed and Network-based Processing (PDP 2010), Pisa, Italy, February 17-19, pp. 111–118 (2010)
GoGrid Service Level Agreement, http://www.gogrid.com/legal/sla.php
Goiri, I., Julia, F., Ejarque, J., Palol, M., Badia, R., Guitart, J., Torres, J.: Introducing Virtual Execution Environments for Application Lifecycle Management and SLA-Driven Resource Distribution within Service Providers. In: 8th IEEE International Symposium on Network Computing and Applications (NCA 2009), July 9-11, pp. 211–218 (2009)
Keller, A., Ludwig, H.: The WSLA Framework: Specifying and Monitoring Service Level Agreements for Web Services. Journal of Network and Systems Management 11(1), 57–81 (2003)
Lodi, G., Panzieri, F., Rossi, D., Turrini, E.: SLA-Driven Clustering of QoS-Aware Application Servers. IEEE Transactions on Software Engineering 33(3), 186–197 (2007)
Menasce, D., Casalicchio, E.: Quality of Service Aspects and Metrics in Grid Computing. In: Computer Measurement Group Conference (CMG 2004), Las Vegas, USA, December 5-10, pp. 521–532 (2004)
Raj, H., Nathuji, R., Singh, A., England, P.: Resource Management for Isolation Enhanced Cloud Services. In: 2009 ACM Cloud Computing Security Workshop (CCSW 2009), Chicago, IL, USA, November 13, pp. 77–84. ACM, New York (2009)
Sahai, A., Graupner, S., Machiraju, V., van Moorsel, A.: Specifying and Monitoring Guarantees in Commercial Grids through SLA. In: 3rd IEEE/ACM International Symposium on Cluster Computing and the Grid (CCGrid 2003), Tokyo, Japan, May 12-15, pp. 292–299 (2003)
Skital, L., Janusz, M., Slota, R., Kitowski, J.: Service Level Agreement Metrics for Real-Time Application on the Grid. In: Wyrzykowski, R., Dongarra, J., Karczewski, K., Wasniewski, J. (eds.) PPAM 2007. LNCS, vol. 4967, pp. 798–806. Springer, Heidelberg (2008)
Xen Hypervisor, http://www.xen.org
Xu, J., Zhao, M., Fortes, J., Carpenter, R., Yousif, M.: On the Use of Fuzzy Modeling in Virtualized Data Center Management. In: 4th International Conference on Autonomic Computing (ICAC 2007), Jacksonville, USA, June 11-15, p. 25 (2007)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2010 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Goiri, Í., Julià, F., Fitó, J.O., Macías, M., Guitart, J. (2010). Resource-Level QoS Metric for CPU-Based Guarantees in Cloud Providers. In: Altmann, J., Rana, O.F. (eds) Economics of Grids, Clouds, Systems, and Services. GECON 2010. Lecture Notes in Computer Science, vol 6296. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-15681-6_3
Download citation
DOI: https://doi.org/10.1007/978-3-642-15681-6_3
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-15680-9
Online ISBN: 978-3-642-15681-6
eBook Packages: Computer ScienceComputer Science (R0)