Traffic Grooming Optimization for Elastic Optical Network Energy Minimization
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Solution Overview
Problem
Existing IP over elastic optical networks face challenges in optimizing energy consumption and improving quality of service due to inefficient bandwidth allocation and high energy usage from optical components.
Innovation Solution
An optimization method and system that uses integer linear programming to minimize network energy consumption by generating service request sets, calculating reachable paths, establishing virtual reachable paths, and determining resource allocation constraints to ensure efficient bandwidth use and reduce optical component usage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If conventional traffic grooming method is used, then bandwidth resource allocation is simplified, but spectrum resource efficiency and energy consumption efficiency are reduced
Solution Approach 1:
The patent changes the parameters of routing and spectrum allocation by introducing multi-path routing consideration and remaining spectrum resource utilization. Instead of simple single-path routing, the system evaluates multiple possible paths and selects optimal combinations that maximize spectrum utilization and minimize energy consumption, thereby resolving the contradiction between allocation simplicity and energy efficiency.
Solution Approach 2:
The patent makes the routing and spectrum allocation system more universal by considering both path selection and spectrum assignment simultaneously. The system can handle various service requests with different bandwidth requirements and establish multiple virtual paths that share optical channels, allowing a single allocation mechanism to serve multiple optimization goals (spectrum efficiency, energy savings, QoS) at once.
2Ease of operation
If one optical channel carries only the same service request, then path selection is simple, but spectrum resource utilization is insufficient
Solution Approach 1:
The patent merges multiple service requests into a single optical channel by establishing virtual paths that aggregate traffic. Instead of dedicating separate physical paths for each service request, the system combines multiple requests with compatible requirements into shared virtual paths, thereby increasing spectrum resource utilization while maintaining manageable path selection through virtualization.
Solution Approach 2:
The patent introduces a virtual path dimension alongside the physical path dimension. By creating virtual paths that can be established on top of physical infrastructure, the system adds an layer of abstraction that enables more flexible spectrum allocation. This dimensional change allows multiple service requests to share physical channels while maintaining logical separation, thus improving spectrum utilization without complicating the selection process.
3Adaptability or versatility
If flexible spectrum slicing is adopted, then bandwidth resource flexibility is improved, but network complexity and energy consumption increase
Solution Approach 1:
The patent segments the spectrum into discrete units (spectrum slots) that can be independently allocated and managed. By dividing the continuous spectrum into manageable segments, the system achieves flexible bandwidth allocation while simplifying the control complexity. Each spectrum slot can be assigned to different virtual paths based on service requirements, enabling adaptability without overwhelming complexity in the allocation mechanism.
Data Source
AI summary
The present invention provides an optimization method and system for minimizing network energy consumption based on traffic grooming. The method includes: generating a set of service requests in an elastic optical network, and calculating a reachable node set of shortest paths from source to destination nodes for each service request; establishing a virtual reachable path in the reachable node set of shortest paths; and establishing a target function of an integer linear programming model of the minimizing network energy consumption, and sequentially determining whether a bandwidth capacity constraint of a single spectrum slot, a path uniqueness constraint, a spectrum allocation constraint, and an optical regenerator quantity constraint are satisfied, where if all constraints are satisfied, the service request is successfully established, or if any of the constraints is not satisfied, the service request fails to be established. The present invention helps to improve the energy efficiency of service requests.