Abstract
Cloud environments can be simulated using the toolkit CloudSim. By employing concepts such as physical servers in datacenters, virtual machine allocation policies, or coarse-grained models of deployed software, it focuses on a cloud provider perspective. In contrast, a cloud user who wants to migrate complex systems to the cloud typically strives to find a cloud deployment option that is best suited for its sophisticated system architecture, is interested in determining the best trade-off between costs and performance, or wants to compare runtime reconfiguration plans, for instance. We present significant enhancements of CloudSim that allow to follow this cloud user perspective and enable the frictionless integration of fine-grained application models that, to a great extent, can be derived automatically from software systems. Our quantitative evaluation demonstrates the applicability and accuracy of our approach by comparing its simulation results with actual deployments that utilize the cloud environment Amazon EC2.
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
Armbrust, M., Fox, A., Griffith, R., Joseph, A.D., Katz, R.H., Konwinski, A., Lee, G., Patterson, D.A., Rabkin, A., Stoica, I., Zaharia, M.: Above the Clouds: A Berkeley View of Cloud Computing. Tech. Rep. UCB/EECS-2009-28, EECS Department, University of California, Berkeley (February 2009)
Calheiros, R.N., Ranjan, R., Beloglazov, A., De Rose, C.A.F., Buyya, R.: CloudSim: a toolkit for modeling and simulation of cloud computing environments and evaluation of resource provisioning algorithms. Software: Practice and Experience 41, 23–50 (2011)
Fittkau, F.: Simulating Cloud Deployment Options for Software Migration Support. Master’s thesis, Software Engineering Group, University of Kiel, Kiel, Germany (March 2012)
Frey, S., Hasselbring, W., Schnoor, B.: Automatic Conformance Checking for Migrating Software Systems to Cloud Infrastructures and Platforms. Journal of Software Maintenance and Evolution: Research and Practice (2012), doi:10.1002/smr.582
Grundy, J., Kaefer, G., Keong, J., Liu, A.: Guest Editors’ Introduction: Software Engineering for the Cloud. IEEE Software 29, 26–29 (2012)
Kliazovich, D., Bouvry, P., Khan, S.: GreenCloud: a packet-level simulator of energy-aware cloud computing data centers. The Journal of Supercomputing, 1–21 (2010), doi:10.1007/s11227-010-0504-1
Lim, S.H., Sharma, B., Nam, G., Kim, E.K., Das, C.: MDCSim: A multi-tier data center simulation, platform. In: IEEE International Conference on Cluster Computing and Workshops 2009, pp. 1–9 (August 2009)
Menasce, D.A., Almeida, V.A.F.: Capacity Planning for Web Services: Metrics, Models, and Methods. Prentice Hall International (September 2001)
Nuñez, A., Vázquez-Poletti, J.L., Caminero, A.C., Carretero, J., Llorente, I.M.: Design of a New Cloud Computing Simulation Platform. In: Murgante, B., Gervasi, O., Iglesias, A., Taniar, D., Apduhan, B.O. (eds.) ICCSA 2011, Part III. LNCS, vol. 6784, pp. 582–593. Springer, Heidelberg (2011)
Ostermann, S., Plankensteiner, K., Prodan, R., Fahringer, T.: GroudSim: An Event-Based Simulation Framework for Computational Grids and Clouds. In: Guarracino, M.R., Vivien, F., Träff, J.L., Cannatoro, M., Danelutto, M., Hast, A., Perla, F., Knüpfer, A., Di Martino, B., Alexander, M. (eds.) Euro-Par- 2010 Workshop. LNCS, vol. 6586, pp. 305–313. Springer, Heidelberg (2011)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2012 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Fittkau, F., Frey, S., Hasselbring, W. (2012). Cloud User-Centric Enhancements of the Simulator CloudSim to Improve Cloud Deployment Option Analysis. In: De Paoli, F., Pimentel, E., Zavattaro, G. (eds) Service-Oriented and Cloud Computing. ESOCC 2012. Lecture Notes in Computer Science, vol 7592. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-33427-6_15
Download citation
DOI: https://doi.org/10.1007/978-3-642-33427-6_15
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-33426-9
Online ISBN: 978-3-642-33427-6
eBook Packages: Computer ScienceComputer Science (R0)