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An edge-based approach for virtual network embedding based on the graph edit distance.

Zexi Xu1, Lei Zhuang1, Mengyang He2,3

  • 1The School of Computer and Artificial Intelligence, Zhengzhou University, Zhengzhou, Henan, China.

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Summary
This summary is machine-generated.

This study introduces an edge-based virtual network embedding approach for precise network resource allocation. The method enhances resource management, leading to improved energy savings and revenue-cost ratios.

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Area of Science:

  • Computer Science
  • Network Engineering
  • Resource Management

Background:

  • Virtualization and resource isolation enable efficient networked resource sharing.
  • Growing user demands necessitate accurate and flexible network resource allocation control.
  • Existing methods face challenges in precise and flexible resource management.

Purpose of the Study:

  • To present a novel edge-based virtual network embedding approach.
  • To accurately control network resource usage and allocation.
  • To enhance overall network resource management efficiency.

Main Methods:

  • Employing a graph edit distance method for precise resource usage control.
  • Restricting network resource use conditions and structure via common substructure isomorphism.
  • Utilizing an improved spider monkey optimization algorithm for substrate network pruning.

Main Results:

  • The proposed method demonstrates superior performance compared to existing algorithms.
  • Achieved enhanced resource management capacity.
  • Showcased improvements in energy savings and revenue-cost ratio.

Conclusions:

  • The edge-based virtual network embedding approach offers effective network resource management.
  • The integration of graph edit distance and optimization algorithms enhances control and efficiency.
  • The method provides a viable solution for meeting increasing user demands in networked environments.