Evaluating Scheduling and Replica Optimisation Strategies in OptorSim
GRID '03 Proceedings of the 4th International Workshop on Grid Computing
The Grid 2: Blueprint for a New Computing Infrastructure
The Grid 2: Blueprint for a New Computing Infrastructure
The Anatomy of the Grid: Enabling Scalable Virtual Organizations
International Journal of High Performance Computing Applications
Simulation of grid computing infrastructure: challenges and solutions
WSC '05 Proceedings of the 37th conference on Winter simulation
SimGrid: A Generic Framework for Large-Scale Distributed Experiments
UKSIM '08 Proceedings of the Tenth International Conference on Computer Modeling and Simulation
A Simulation Framework for Dependable Distributed Systems
ICPPW '08 Proceedings of the 2008 International Conference on Parallel Processing - Workshops
Decentralised meta-scheduling strategy in Grid environments
International Journal of Grid and Utility Computing
Decentralized Dynamic Resource Allocation for Workflows in Grid Environments
SYNASC '08 Proceedings of the 2008 10th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing
Simulation Model and Instrument to Evaluate Replication Techniques
3PGCIC '10 Proceedings of the 2010 International Conference on P2P, Parallel, Grid, Cloud and Internet Computing
Meta-scheduling issues in interoperable HPCs, grids and clouds
International Journal of Web and Grid Services
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The scale, complexity and worldwide geographical spread of the Large Hadron Collider (LHC) computing and data analysis problems are unprecedented in scientific research. The complexity of processing and accessing this data is increased substantially by the size and global span of the major experiments, combined with the limited wide-area network bandwidth available. This paper discusses the latest generation of the MONARC (MOdels of Networked Analysis at Regional Centers) simulation framework, as a design and modeling tool for large-scale distributed systems applied to high-energy physics experiments. We present a simulation study designed to evaluate the capabilities of the current real-world distributed infrastructures deployed to support existing LHC physics analysis processes and the means by which the experiments band together to meet the technical challenges posed by the storage, access and computing requirements of LHC data analysis. The Compact Muon Solenoid (CMS) experiment, in particular, uses a general-purpose detector to investigate a wide range of physics. We present a simulation study designed to evaluate the capability of its underlying distributed processing infrastructure to support the physics analysis processes. The results, made possible by the MONARC model, demonstrate that the LHC infrastructures are well suited to support the data processes envisioned by the CMS computing model.