Abstract
In order to provide high resource utilization and QoS assurance in utility computing hosting concurrently various services, this paper proposes a service computing framework-RAINBOW for VM(Virtual Machine)-based utility computing. In RAINBOW, we present a priority-based resource scheduling scheme including resource flowing algorithms (RFaVM) to optimize resource allocations amongst services. The principle of RFaVM is preferentially ensuring performance of some critical services by degrading of others to some extent when resource competition arises. Based on our prototype, we evaluate RAINBOW and RFaVM. The experimental results show that RAINBOW without RFaVM provides 28%~324% improvements in service performance, and 26% higher the average CPU utilization than traditional service computing framework (TSF) in typical enterprise environment. RAINBOW with RFaVM further improves performance by 25%~42% for those critical services while only introducing up to 7% performance degradation to others, with 2%~8% more improvements in resource utilization than RAINBOW without RFaVM.
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.
Similar content being viewed by others
References
Menascé, D.A., Bennani, M.N.: Autonomic Virtualized Environments. In: ICAS 2006, p. 28 (2006)
Hewlett-Packard: HP Utility Data Centre – Technical White Paper (October 2001), www.hp.com
Sandklef, H.: Testing applications with Xnee. Linux Journal 2004(117), 5 (2004)
Yu, H., Zheng, D., Zhao, B.Y., et al.: Understanding User Behavior in Large-Scale Video-on-Demand Systems. In: EuroSys 2006, pp. 333–344 (2006)
IBM Redbook: Advanced POWER Virtualization on IBM System p5: Introduction and Configuration (January 2007)
Wang, J., Sun, Y., Fan, J.: Analysis on Resource Utilization Patterns of Office Computer. In: PDCS 2005, pp. 626–631 (2005)
Xu, J., Zhao, M., et al.: On the Use of Fuzzy Modeling in Virtualized Data Center Management. In: ICAC 2007, p. 25 (2007)
Appleby, K., et al.: Oceano-SLA based management of a computing utility. In: Proceedings of the IFIP/IEEE International Symposium on Integrated Network Management, pp. 855–868 (2001)
Kallahalla, M., Uysal, M., Swaminathan, R., et al.: SoftUDC: A Software-Based Data Center for Utility Computing, November 2004, pp. 38–46. IEEE Computer Society, Los Alamitos (2004)
Nelson, M., Lim, B.H., Hutchins, G.: Fast Transparent Migration for Virutal Machines. In: 2005 USENIX Annual Technical Conference, pp. 391–394 (2005)
Barham, P., Dragovic, B., et al.: Xen and the art of virtualization. In: SOSP, pp. 164–177 (2003)
Padala, P., Zhu, X., Uysal, M., et al.: Adaptive Control of Virtualized Resources in Utility Computing Environments. In: EuroSys 2007, pp. 289–302 (2007)
Wang, Q., Makaroff, D.: Workload Characterization for an E-commerce Web Site. In: Proc. CASCON 2003, pp. 313–327 (2003)
Fielding, R.T., Kaiser, G.: The Apache HTTP Server Project. IEEE Internet Computing 1(4), 88–90 (1997)
Govindan, S., Nath, A.R., Das, A.: Xen and Co.: Communication-aware CPU scheduling for consolidated Xen-based hosting platforms. In: VEE, pp. 126–136 (2007)
Tannenbaum, T., Wright, D., Miller, K., et al.: Condor - A Distributed Job Scheduler. In: Sterling, T. (ed.) Beowulf Cluster Computing with Linux, pp. 307–350. The MIT Press, Cambridge (2002)
VMware Infrastructure: Resource Management with VMware DRS
Wang, X., Lan, D., Wang, G., et al.: Appliance-based Autonomic Provisioning Framework for Virtualized Outsourcing Data Center. In: ICAC 2007, p. 29 (2007)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2008 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Song, Y. et al. (2008). A Service-Oriented Priority-Based Resource Scheduling Scheme for Virtualized Utility Computing. In: Sadayappan, P., Parashar, M., Badrinath, R., Prasanna, V.K. (eds) High Performance Computing - HiPC 2008. HiPC 2008. Lecture Notes in Computer Science, vol 5374. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-89894-8_22
Download citation
DOI: https://doi.org/10.1007/978-3-540-89894-8_22
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-89893-1
Online ISBN: 978-3-540-89894-8
eBook Packages: Computer ScienceComputer Science (R0)