Routing Control Using Predicted Traffic Transitions
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Solution Overview
Problem
Current network resource management techniques lack the ability to predict long-term traffic transitions and optimize resource allocation proactively, leading to inefficient resource utilization and increased operational costs, especially during peak traffic periods or abnormal conditions.
Innovation Solution
A routing control method that utilizes predicted utilization transition data, including traffic volume, utilization rate, and bandwidth, to select resources optimally, anticipating future traffic demands and allocating resources accordingly, thereby improving long-term resource efficiency and reducing costs.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If network resources are allocated based on current traffic status, then resource allocation responds to immediate demands, but long-term resource utilization efficiency deteriorates due to inability to predict future traffic patterns
Solution Approach 1:
The patent applies preliminary action by predicting future traffic patterns and proactively allocating network resources before actual traffic demands occur. The prediction unit forecasts traffic volume, utilization rate, and bandwidth requirements, allowing the routing control system to pre-configure optimal paths and resource allocations, thereby improving long-term resource utilization efficiency while avoiding reactive delays.
2Reliability
If more network resources are allocated to handle peak traffic, then network performance during peak periods improves, but resource consumption during normal periods increases leading to higher operational costs
Solution Approach 1:
The patent implements dynamic resource allocation by continuously adjusting network resource allocation based on predicted traffic patterns. The system dynamically modifies routing paths, bandwidth allocations, and resource provisioning according to forecasted demand, ensuring adequate performance during peak traffic while minimizing resource consumption and operational costs during normal periods.
Solution Approach 2:
The patent changes key parameters such as routing paths, bandwidth allocation ratios, and resource provisioning levels based on predicted traffic conditions. By adjusting these parameters proactively according to forecasted demand, the system maintains high network performance during peak periods while optimizing resource utilization and reducing operational costs during normal operations.
3Productivity
If traditional routing methods are used without traffic prediction, then routing decisions are simple and fast, but resource optimization capability deteriorates
Solution Approach 1:
The patent introduces a prediction unit as an intermediary component that bridges traditional simple routing methods and advanced resource optimization. This prediction unit forecasts traffic patterns and provides guidance to the routing control system, enabling resource optimization without requiring complete redesign of the routing architecture. The intermediary layer maintains compatibility with existing systems while adding predictive capabilities.
Data Source
AI summary
This invention is to enable appropriate routing based on transition prediction of network traffic. This routing control method includes: reading out predicted utilization transition data (e.g. utilization rate, or utilized bandwidth) associated with a received connection set-up request from a predicted utilization transition data storage storing said predicted utilization transition data for each resource (e.g. links between routers, or server) in a network in future; and selecting a resource satisfying a predetermined condition based on the read predicted utilization transition data. Thus, by using said predicted utilization transition data, an appropriate resource is identified in accordance with future time transition of the resource utilization rate, for example, and thereby, appropriate routing is possible. For example, when a link that a traffic volume will increase after a predetermined time exists, it is possible to judge that such a link is not used even when there are a lot of available bandwidths now.