Network dynamic topology control system and method thereof

Abstract

Disclosed are a network dynamic topology control system and a network dynamic topology control method, which belong to the technical field of network. The dynamic topology control system provided by the present invention comprises a link information collection module, a flow prediction module, an intelligent decision-making module and a topology update module. The system firstly collects link flow information and topology change information through the link information collection module, then carries out flow prediction and time prediction, and sends the prediction information and the topology change information to the intelligent decision-making module. The system carries out dormancy awakening decision in combination with a path feedback mechanism and the shuffled frog leaping algorithm (SFLA), in order to select best dormant links and routers, and accordingly deal with the topology. The dynamic topology control system can manage dynamic changes in network topology, the network is normally operated, and energy-saving effects are achieved.

Description

technical field [0001] The invention belongs to the field of network technology, and in particular relates to a network dynamic topology control system and method. Background technique [0002] Many current Internet devices are designed for peak operation, and the usual device utilization rate is very low, with the maximum average link utilization rate less than 30%, which causes problems such as high energy consumption, low efficiency, and waste in the network, and the sleep wake-up mechanism It has also become a hotspot of network research. In Energy-Aware Traffic Engineering, Nedeljko Vasic and Dejan Kostic proposed an algorithm based on distributed algorithm ideas to achieve energy saving, called EATe algorithm. EATe algorithm is a distributed algorithm based on border routers. The border router regularly collects the link information that is most likely to make a dormancy decision, and then performs a path feedback operation. If the path feedback is successful, the do...

AI Technical Summary

Problems solved by technology

[0002] Many current Internet devices are designed for peak operation, and the usual device utilization rate is very low, with the maximum average link utilization rate less than 30%, which causes problems such as high energy consumption, low efficiency, and waste in the network, and the sleep wake-up mechanism It has also become a hotspot in network research

However, this algorithm has certain defects. First, the algorithm only considers the traffic situation of the current link, but does not consider the traffic situation of a certain period of time in the future.

Secondly, the algorithm only judges and makes decisions on the link with the longest sleep time, and does not consider multiple links and routers.

Images