Capacity Planning for Web Services: metrics, models, and methods
Capacity Planning for Web Services: metrics, models, and methods
Design of a new cloud computing simulation platform
ICCSA'11 Proceedings of the 2011 international conference on Computational science and its applications - Volume Part III
GroudSim: an event-based simulation framework for computational grids and clouds
Euro-Par 2010 Proceedings of the 2010 conference on Parallel processing
Search-based genetic optimization for deployment and reconfiguration of software in the cloud
Proceedings of the 2013 International Conference on Software Engineering
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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.