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Beams are structural elements commonly employed in engineering applications requiring different load-carrying capacities. The first step in analyzing a beam under a distributed load is to simplify the problem by dividing the load into smaller regions, which allows one to consider each region separately and calculate the magnitude of the equivalent resultant load acting on each portion of the beam. The magnitude of the equivalent resultant load for each region can be determined by calculating...
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Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
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Dynamic weight routing and optical-code algorithm based on SDN.

Longfei Li1, Kun Li1, Xingyu Meng1

  • 1School of Information Science and Engineering, Yanshan University, Hebei Key Laboratory of Information Transmission and Signal Processing, Hebei, Qinhuangdao 066004, China.

Heliyon
|January 27, 2023
PubMed
Summary
This summary is machine-generated.

A new dynamic weighting algorithm improves optical transport networks by optimizing path selection for multi-service requirements. This enhances resource utilization and reduces data fragmentation in optical switching systems.

Keywords:
Multi-granularity optical switchingOptical-code granularityROCASDN

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Area of Science:

  • Optical networking
  • Telecommunications engineering
  • Computer networking

Background:

  • Optical transport networks are transitioning to multi-granularity switching and software management.
  • Existing control plane architectures need adaptation for multi-service and network management demands.

Purpose of the Study:

  • To propose a dynamic weighting algorithm for multi-granularity optical switching systems.
  • To enhance path selection and resource allocation in optical networks.

Main Methods:

  • A dynamic weighting algorithm based on optical code resources and service-channel matching degree.
  • Real-time network resource information collection by a Software Defined Networking (SDN) controller.
  • Dynamic path weighting for load balancing and optimized path calculation.

Main Results:

  • Reduced generation of optical code fragments.
  • Improved resource utilization in multi-granularity switching systems.
  • Average 4% reduction in blocking rate and 9% improvement in optical code resource utilization on NSFNET.

Conclusions:

  • The proposed algorithm effectively improves resource utilization and reduces blocking rates in optical transport networks.
  • SDN-based dynamic weighting offers a superior approach for multi-service optical network management.