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An algorithm for fragment-aware virtual network reconfiguration.

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Current virtual network embedding methods suffer from low acceptance and revenue due to unaddressed resource fragmentation. The new fragment-aware virtual network reconfiguration (FA-VNR) algorithm significantly improves these metrics by intelligently migrating virtual nodes.

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Area of Science:

  • Computer Science
  • Network Engineering
  • Algorithm Design

Background:

  • Online virtual network embedding algorithms often neglect resource fragmentation, leading to suboptimal performance.
  • Low acceptance ratios and revenue-to-cost ratios are persistent issues in current virtual network embedding.

Purpose of the Study:

  • To address the limitations of existing virtual network embedding algorithms.
  • To improve the acceptance ratio and revenue-to-cost ratio in virtual network embedding.

Main Methods:

  • Developed a mathematical model for virtual network reconfiguration.
  • Proposed a novel heuristic algorithm named fragment-aware virtual network reconfiguration (FA-VNR).
  • FA-VNR strategically selects virtual nodes for migration based on physical node fragment degrees and embedding costs.

Main Results:

  • FA-VNR demonstrably enhances the acceptance ratio of virtual network embedding.
  • The algorithm significantly improves the revenue-to-cost ratio compared to existing methods.
  • Simulation results indicate FA-VNR outperforms current virtual network reconfiguration algorithms.

Conclusions:

  • The proposed FA-VNR algorithm effectively mitigates resource fragmentation in virtual network embedding.
  • FA-VNR offers a superior approach to virtual network reconfiguration, boosting network resource utilization and economic efficiency.