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Related Experiment Video

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Measuring the Functional Abilities of Children Aged 3-6 Years Old with Observational Methods and Computer Tools
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Evaluating the Influence of the Client Behavior in Cloud Computing.

Mário Henrique Souza Pardo1, Adriana Molina Centurion1, Paulo Sérgio Franco Eustáquio1

  • 1Institute of Mathematical and Computer Sciences, University of São Paulo, São Carlos, Brazil.

Plos One
|July 22, 2016
PubMed
Summary

This study introduces a new client entity for cloud computing simulations, enhancing realism by incorporating client behavior. This approach improves the accuracy of cloud performance modeling and simulation results.

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Area of Science:

  • Computer Science
  • Cloud Computing
  • Simulation Modeling

Background:

  • Cloud computing systems require realistic simulation scenarios for performance evaluation.
  • Existing simulation frameworks may not fully capture the impact of client behavior on system performance.

Purpose of the Study:

  • To propose and implement a novel client entity for cloud computing simulations.
  • To enhance the realism of simulation scenarios by integrating client behavior.
  • To analyze the influence of client behavior on cloud system performance.

Main Methods:

  • Development of a client entity with characteristics affecting cloud performance (submission modes, think time).
  • Integration of the client entity into the CloudSim simulation framework.
  • Experimental evaluation of different client behaviors, including individual requests and burst workloads.

Main Results:

  • The proposed client entity enables more realistic simulation scenarios.
  • Client behavior significantly influences the performance of cloud computing services.
  • Consideration of think time and submission modes impacts simulation outcomes.

Conclusions:

  • The novel client entity provides a more accurate method for simulating cloud computing environments.
  • Understanding client behavior is crucial for optimizing cloud service performance.
  • The approach enhances the fidelity of cloud performance modeling and analysis.