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ERP: An elastic resource provisioning approach for cloud applications.

Danqing Feng1,2, Zhibo Wu1, DeCheng Zuo1

  • 1Computer science and Technology, Harbin Institute of Technology, Harbin, China.

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|April 27, 2019
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Summary
This summary is machine-generated.

This study introduces an elastic resource provisioning (ERP) framework using Grey relational analysis (GRA) for dynamic cloud resource scaling. The ERP approach optimizes CPU and memory thresholds, reducing overhead and improving response times for cloud elasticity.

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Area of Science:

  • Cloud Computing
  • Resource Management
  • Performance Optimization

Background:

  • Dynamic resource provisioning is crucial for meeting user demand in cloud environments.
  • Current methods often use coarse-grained scaling based solely on CPU utilization, neglecting other performance metrics.
  • Determining optimal scaling thresholds for CPU and memory is challenging.

Purpose of the Study:

  • To propose an elastic resource provisioning (ERP) framework for dynamic cloud resource scaling.
  • To develop a novel performance threshold policy using Grey relational analysis (GRA).
  • To evaluate the effectiveness of the ERP approach in real-world workloads.

Main Methods:

  • Implementation of an elastic scaling framework within a cloud layer model.
  • Development of a performance threshold based on Grey relational analysis (GRA) considering CPU and memory.
  • Resource scaling at physical machine (PM) and virtual machine (VM) levels, including resource shutdown.

Main Results:

  • The proposed ERP algorithm efficiently performs elastic strategies.
  • Significant reduction in overhead compared to traditional methods.
  • Demonstrated improvement in response time under real workloads.

Conclusions:

  • The ERP framework effectively addresses the limitations of coarse-grained resource provisioning.
  • The GRA-based threshold policy enables more accurate and efficient dynamic scaling.
  • The approach offers a practical solution for optimizing cloud resource management and performance.