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First, we require a representative workload for profiling.
This is done by combining several recently proposed techniques, such as statistical simulation, representative workload design, trace sampling and reduced input sets.
The methodology we propose is the first one that uses a standard benchmark, providing both a representative workload as well as the ability to customize it to evaluate the features of MOM platforms selectively.
Fortunately, these slow simulations can be sped up: (i) by selecting a limited but representative workload, (ii) by applying trace sampling and reduced input sets to limit the simulation time per benchmark, and (iii) by optimizing the architectural simulators.
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Based on analytically derived performance models, our evaluation with representative workloads show that offloading processing and performing point-to-point data communication improve performance over centralized architectures.
Unlike the setup in [4], instead of having a list of workloads and the time periods that they are active, we have a list of potential or representative workloads, and probabilities that they are active at any given time instant.
The software is then exercised on representative workloads, using the instrumentation to collect data on measured CPU usage and frequency of execution for software functions as well as data exchange between them.
A survey was conducted of an unselected sample of oncology patients representative of the workload of the oncology department from which the referrals came, to determine the prevalence of comparable psychosocial problems among patients who were not referred for help and to assess whether doctors were aware of the problems patients reported.
The NPB represents an implementation independent problem set, representative of Computational Aeroscience workload computations.
The workload is representative of an IaaS cloud environment such as Amazon EC2, where VMs are created and managed by several independent users.
In particular, we discuss (i) how it tackles the main issues challenging the representative replication of network workload, and (ii) our design choices and its advanced features that make it suitable to analyze complex and emerging network scenarios.
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