Simulation of Dynamic Grid Replication Strategies in OptorSim
GRID '02 Proceedings of the Third International Workshop on Grid Computing
JSIM: A JAVA-Based Simulation and Animation Environment
SS '97 Proceedings of the 30th Annual Simulation Symposium (SS '97)
ACM SIGMETRICS Performance Evaluation Review - Special issue on tools for computer architecture research
Scalable online simulation for modeling grid dynamics
Scalable online simulation for modeling grid dynamics
Multifacet's general execution-driven multiprocessor simulator (GEMS) toolset
ACM SIGARCH Computer Architecture News - Special issue: dasCMP'05
Virtual Clusters for Grid Communities
CCGRID '06 Proceedings of the Sixth IEEE International Symposium on Cluster Computing and the Grid
Speed and accuracy of network simulation in the SimGrid framework
Proceedings of the 2nd international conference on Performance evaluation methodologies and tools
Combining batch execution and leasing using virtual machines
HPDC '08 Proceedings of the 17th international symposium on High performance distributed computing
A toolkit for modelling and simulating data Grids: an extension to GridSim
Concurrency and Computation: Practice & Experience
HPCC '08 Proceedings of the 2008 10th IEEE International Conference on High Performance Computing and Communications
The Eucalyptus Open-Source Cloud-Computing System
CCGRID '09 Proceedings of the 2009 9th IEEE/ACM International Symposium on Cluster Computing and the Grid
A High-Performance Computing Forecast: Partly Cloudy
Computing in Science and Engineering
Virtual Infrastructure Management in Private and Hybrid Clouds
IEEE Internet Computing
Power-aware provisioning of Cloud resources for real-time services
Proceedings of the 7th International Workshop on Middleware for Grids, Clouds and e-Science
A Heuristic for Mapping Virtual Machines and Links in Emulation Testbeds
ICPP '09 Proceedings of the 2009 International Conference on Parallel Processing
New techniques for simulating high performance MPI applications on large storage networks
The Journal of Supercomputing
Building an automated and self-configurable emulation testbed for grid applications
Software—Practice & Experience
PARA'10 Proceedings of the 10th international conference on Applied Parallel and Scientific Computing - Volume Part I
ESOCC'12 Proceedings of the First European conference on Service-Oriented and Cloud Computing
Hardware-in-the-loop simulation for automated benchmarking of cloud infrastructures
Proceedings of the Winter Simulation Conference
A goal-oriented simulation approach for obtaining good private cloud-based system architectures
Journal of Systems and Software
On the validity of flow-level tcp network models for grid and cloud simulations
ACM Transactions on Modeling and Computer Simulation (TOMACS)
Meta-scheduling algorithms for managing inter-cloud interoperability
International Journal of High Performance Computing and Networking
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Cloud computing is a paradigm which allows the use of outsourced infrastructures in a "pay-as-you-go" basis, thanks to which scalable and customizable infrastructures can be built on demand. The ability to infer the number and type of the Virtual Machines (VM) needed determines the final budget, thus it represents a key in order to efficiently manage a cloud infrastructure. In order to develop new proposals aimed at different topics related to cloud computing (for example, datacenter management, or provision of resources), a lot of work and money is required to set up an adequately sized testbed including different datacenters from different organizations and public cloud providers. Therefore, it is easier to use simulation as a tool for studying complex scenarios. With this in mind, this paper introduces iCanCloud, a novel simulator of cloud infrastructures with remarkable features such as usability, flexibility, performance and scalability. This tool is specially aimed at simulating instance types provided by Amazon, so models of these are included in the simulation framework. Accuracy experiments conducted by means of comparing results obtained using iCanCloud and a validated mathematical model of Amazon in the context of a given application are also presented. These illustrate the efficiency of iCanCloud at reproducing the behavior of Amazon instance types.