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A Resource and Task Scheduling Based Multi-Objective Optimization Model and Algorithms in Elastic Optical Networks.

Yuping Wang1, Qingdong Yang2, Xiaofang Guo1

  • 1School of Science, Xi'an Technological University, Xi'an 710021, China.

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|December 23, 2022
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Summary
This summary is machine-generated.

This study introduces a new model and algorithms to simultaneously optimize routing, spectrum, and data center allocation in elastic optical networks (EONs) with virtual network functions (VNFs). The approach effectively improves network efficiency and user service quality.

Keywords:
data center allocationelastic optical networksevolutionary algorithmmulti-objective optimizationroutingspectrum allocationvirtual network function

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Area of Science:

  • Computer Science
  • Telecommunications Engineering
  • Network Optimization

Background:

  • Elastic Optical Networks (EONs) are emerging network architectures.
  • Virtual Network Functions (VNFs) introduce complex resource allocation challenges.
  • Simultaneous optimization of routing, spectrum, and data center allocation is crucial but underexplored.

Purpose of the Study:

  • To address the simultaneous challenges of routing, spectrum, and data center allocation in EONs with VNFs.
  • To develop a multi-objective optimization model for minimizing path length, spectrum usage, and data center load imbalance.
  • To enhance overall network efficiency and user service quality.

Main Methods:

  • Formulation of a novel multi-objective optimization model.
  • Design and implementation of two new evolutionary algorithms to solve the optimization model.
  • Experimental validation on diverse network topologies and configurations.

Main Results:

  • The proposed multi-objective optimization model effectively integrates routing, spectrum, and data center allocation.
  • The developed evolutionary algorithms demonstrate efficacy in solving the complex optimization problem.
  • Experimental results confirm the effectiveness of the proposed approach in improving network performance.

Conclusions:

  • Simultaneous optimization of routing, spectrum, and data center allocation is feasible and beneficial for EONs with VNFs.
  • The presented model and algorithms offer a promising solution for improving network efficiency and user experience.
  • This work lays the foundation for more advanced resource management in future elastic optical networks.