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Related Experiment Video

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Evaluating Usability Aspects of a Mixed Reality Solution for Immersive Analytics in Industry 4.0 Scenarios
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Performance Evaluation of Resource Management in Cloud Computing Environments.

Bruno Guazzelli Batista1, Julio Cezar Estrella1, Carlos Henrique Gomes Ferreira1

  • 1ICMC, University of São Paulo, São Carlos, SP, Brazil.

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|November 12, 2015
PubMed
Summary

Dynamic resource management in cloud computing ensures quality of service and optimizes resource use. This study evaluates a module that dynamically adjusts resources on-the-fly, balancing client needs with provider efficiency for fair pricing.

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Area of Science:

  • Computer Science
  • Cloud Computing
  • Resource Management

Background:

  • Cloud computing offers on-demand services but requires dynamic resource management for guaranteed quality of service.
  • Optimizing resources is challenging due to workload modeling, virtualization, and performance monitoring complexities.

Purpose of the Study:

  • To evaluate a dynamic resource management module for cloud environments.
  • To ensure quality of service (QoS) and optimize resource utilization during execution time.

Main Methods:

  • Performance evaluation of a resource management module.
  • Analysis of various resource configurations to identify key scaling dimensions.
  • Modeling and simulation of a cloud system with on-the-fly resource allocation and pricing adjustments.

Main Results:

  • Identified specific resource scaling dimensions that significantly impact client requests.
  • Demonstrated the feasibility of a simulated cloud system with dynamic resource allocation.
  • Showcased on-the-fly resource adjustments with corresponding price changes.

Conclusions:

  • The proposed module effectively ensures quality of service for clients.
  • The module optimizes resource utilization for providers, enabling fair pricing.
  • Dynamic resource management is crucial for balancing client satisfaction and provider efficiency in cloud environments.