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Capacity Planning And Performance Monitoring Term Paper

In short, the simulation lacks the randomness in workflows that actual usage of this dual processor configuration would encounter over the long-term. As a result, the performance of these simulations must be taken in that context, mindful of the limitations they have. Potential Uses of this Simulation

This simulation would be very effective in defining how best to manage multiprocessor workloads in a complex server environment, including the planning of a data center to run Cloud-based applications. It is feasible Amazon Web Services has a comparable simulator running today to ensure their Cloud platform stays at its optimal performance levels. In addition, there is the ability to create a multicomputer network message processor design based on comparable simulations (Unger,...

For either of these uses to be effective, they must replicate the full, random workload of networks to ensure the user has a stable, reliable experience when using systems based on these architectures. The ability to align all of these elements together and deliver a reliable system is key, and simulations can help in this regard.
References

Serrazi, G. (2007) Shared-Memory Multiprocessor Systems -- Hierarchical Task Queue. University of Lugano, Advanced Learning and Research Institute. Retrieved March 7, 2012 from http://www.idsi.md/files/file/publicatii/PERFORMANCE_EVALUATION_Exercises_Zamsa.pdf

Unger, B.W., & Bidulock, D.S. (1982). The design and simulation of a multi-computer network message processor. Computer Networks, 6(4), 263-263.

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References

Serrazi, G. (2007) Shared-Memory Multiprocessor Systems -- Hierarchical Task Queue. University of Lugano, Advanced Learning and Research Institute. Retrieved March 7, 2012 from http://www.idsi.md/files/file/publicatii/PERFORMANCE_EVALUATION_Exercises_Zamsa.pdf

Unger, B.W., & Bidulock, D.S. (1982). The design and simulation of a multi-computer network message processor. Computer Networks, 6(4), 263-263.
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