Performance modeling to support multi-tier application deployment to infrastructure-as-a-service clouds

Proceedings - 2012 IEEE/ACM 5th International Conference on Utility and Cloud Computing, UCC 2012

Volumn , Issue , 2012, Pages 73-80

  Lloyd, Wes ^a,b   Pallickara, Shrideep ^a   David, Olaf ^a,b   Lyon, Jim ^b   Arabi, Mazdak ^b   Rojas, Ken ^c  

^a University Services Building   (United States)

^b Department of Chemical and Biological Engineering and School of Biomedical Engineering   (United States)

^c USDA NRCS   (United States)

Author keywords

Cloud computing; Infrastructure as a service; Performance modeling; Provisioning variation; Virtualization

Indexed keywords

APPLICATION COMPONENTS; APPLICATION PERFORMANCE; COMPONENT COMPOSITION; CONTEXT SWITCH; CPU TIME; DEPLOYMENT COSTS; DISK I/O; DIVERSE APPLICATIONS; EXECUTION TIME; IAAS CLOUDS; IDLE TIME; INDEPENDENT VARIABLES; MODELING APPROACH; MULTI-TIER APPLICATIONS; NETWORK BANDWIDTH; PERFORMANCE MODEL; PERFORMANCE MODELING; PHYSICAL RESOURCES; PROVISIONING VARIATION; RESOURCE UTILIZATIONS; SERVICE COMPOSITIONS; SERVICE EXECUTION; TEST APPLICATIONS; VIRTUAL MACHINES; VIRTUALIZATIONS;

CLOUD COMPUTING; DISKS (MACHINE COMPONENTS); FORECASTING; MODELS; TIME SWITCHES; VIRTUAL REALITY;

INFRASTRUCTURE AS A SERVICE (IAAS);

EID: 84874262872     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/UCC.2012.20     Document Type: Conference Paper

References (29)

1. A. Kivity et al., "kvm: the Linux Virtual Machine Monitor," Proc. 2007 Ottawa Linux Symposium (OLS 2007), Ottawa, Canada, June 27-30, 2007, pp. 225-230.
2. M. Rehman, M. Sakr, "Initial Findings for Provisioning Variation in Cloud Computing," Proc. of the IEEE 2nd Intl. Conf. on Cloud Computing Technology and Science (CloudCom '10), Indianapolis, IN, USA, Nov 30 - Dec 3, 2010, pp. 473-479.
3. M. Vouk, "Cloud Computing - Issues, Research, and Implementations," Proc. 30th Intl. Conf. Information Technology Interfaces (ITI 2008), Cavtat, Croatia, June 23-26, 2008, pp. 31-40.
4. F. Camargos, G. Girard, B. Ligneris, "Virtualization of Linux servers," Proc. 2008 Linux Syposium, Ottawa, Ontario, Canada, July 23-26, 2008, pp. 63-76.
5. D. Armstrong, K. Djemame, "Performance Issues In Clouds: An Evaluation of Virtual Image Propagation and I/O Paravirtualization," The Computer Journal, June 2011, vol. 54, iss. 6, pp. 836-849.
6. United States Department of Agriculture - Agricultural Research Service (USDA-ARS), Revised Universal Soil Loss Equation Version 2 (RUSLE2), http://www.ars.usda.gov/SP2UserFiles/Place/64080510/RUSLE/RUSLE2-Science-Doc.pdf
7. O. David et al., "Rethinking modeling framework design: Object Modeling System 3.0," Proc. iEMSs 2010 Intl. Congress on Environ. Modeling and Software, Ottawa, Canada, July 5-8, 2010, 8 p.
8. WineHQ - Run Windows applications on Linux, BSD, Solaris, and Mac OSX, http://www.winehq.org/
9. Apache Tomcat - Welcome, 2011, http://tomcat.apache.org/
10. D. Nurmi et al., "The Eucalyptus Open-source Cloud-computing System," Proc. IEEE Intl. Symposium on Cluster Computing and the Grid (CCGRID 2009), Shanghai, China, May 18-21, 8p.
11. PostGIS, 2011, http://postgis.refractions.net/
12. PostgreSQL: The world's most advanced open source database, http://www.postgresql.org/
13. nginx news, 2011, http://nginx.org/
14. Welcome to CodeBeamer, 2011, https://codebeamer.com/cb/user/
15. HAProxy - The Reliable, High Performance TCP/HTTP Load Balancer, http://haproxy.1wt.eu/
16. P. Barham et al., Xen and the art of virtualization, Proc. 19th ACM Symposium on Operating Systems Principles (SOSP '03), Bolton Landing, NY, USA, Oct 19-22, 2003, 14 p.
17. C. Xu, J. Rao, X. Bu, URL: A unified reinforcement learning approach for autonomic cloud management, Journal of Parallel and Distributed Computing, vol. 72, 2012, pp. 95-105.
18. O. Niehörster et al., "Autonomic Resource Management with Support Vector Machines," Proc. 12th IEEE/ACM Intl. Conf. on Grid Computing (GRID '11), Lyon, France, Sept 21-23, 2011, pp.157-164.
19. G. Kousiouris, T. Cucinotta, T. Varvarigou, "The effects of scheduling, workload type and consolidation scenarios on virtual machine performance and their prediction through optimized artificial neural networks," The Journal of Systems and Software, vol. 84, 2011, pp. 1270-1291.
20. T. Wood et al., Sandpiper: Black-box and gray-box resource management for virtual machines, Computer Networks, vol. 53, 2009, pp. 2923-2938.
21. W. Chen et al., Crossing and Nesting of Matching and Partitions, Transactions of the American Mathematical Society, vol. 359, No. 4, April 2007, pp. 1555-1575.
22. O. David et al., A software engineering perspective on environmental modeling framework design: The Object Modeling System, Environmental Modelling & Software, Available 13 June 2012, http://www.sciencedirect.com/science/ article/pii/S1364815212000886
23. R.H. Myers, Classical and modern regression with applications, 2nd Edition, PWS-KENT Publishing Company, Boston, MA, 1994.
24. J. Adler, R In a Nutshell: A Desktop Quick Reference, First Edition, O'Reilly, 2010.
25. P. Teetor, R Cookbook: Proven Recipes for Data Analysis, Statistics, and Graphics, First Edition, O'Reilly, 2011.
26. W. Lloyd et al., Migration of multi-tier applications to infrastructure-as-a-service clouds: An investigation using kernel-based virtual machines, Proc. 12th IEEE/ACM Intl. Conf. On Grid Computing (GRID 2011), Lyon, France, Sept 21-23, 2011, pp. 137-143.
27. P. Lama, X. Zhou, Efficient Server Provisioning with Control for End-to-End Response Time Guarantee on Multitier Clusters, IEEE Transactions on Parallel and Distributed Systems, vol. 23, No. 1, Jan 2012, pp. 78-86.
28. P. Lama, X. Zhou, Autonomic Provisioning with Self-Adaptive Neural Fuzzy Control for End-to-end Delay Guarantee, Proc. 18th IEEE/ACM Int. Symposium on Modeling, Analysis and Simulation of Computer and Telecommunication Systems (MASCOTS 2010), Miami Beach, FL, USA, August 17-19, 2010, pp. 151-160.
29. N. Bonvin, T. Papaioannou, K. Aberer, Autonomic SLA-driven Provisioning for Cloud Applications, Proc. IEEE/ACM Int. Symposium on Cluster, Cloud, and Grid Computing (CCGRID 2011), Newport Beach, CA, USA, 2011, pp. 434-44.