A Robust Energy Efficient Routing Method for Teaching Cloud Computing Network

Abstract

The invention discloses a robust energy-efficient routing method for teaching cloud computing networks, which belongs to the field of green communication of cloud computing networks. The present invention uses SRLA to find the largest group of dormant links, and converts redundant links into dormant state as much as possible, so as to realize energy-saving network. In the case of ensuring normal network routing, REERA can meet the requirements of network robustness. The MCRA routing algorithm characterizes the stability of the entire network through the network criticality. Finally, the dormant redundant link algorithm is combined with the minimum criticality routing algorithm to construct a robust, efficient and energy-saving routing for cloud computing networks, which overcomes the low energy efficiency of the cloud. Computational backbone network operation problems. More importantly, this method can dynamically change and adjust link weights to ensure that the links can be used uniformly, avoiding traffic congestion when some links in the cloud computing network are overused, and can improve the performance of the entire network.

Description

technical field [0001] The invention belongs to the field of cloud computing network green communication, in particular to a robust energy-efficient routing method for cloud computing networks. Background technique [0002] Cloud computing services offer a novel style of collaborative and personalized learning, with significant implications for learning and teaching due to the wider range of applications it offers than other technologies. However, the huge growth in the number of network devices and service types makes it difficult to reduce energy consumption, especially in highly loaded cloud computing networks. In addition, the cost pressure of Internet Service Providers (Internet Service Providers, ISPs) is urgently needed to solve the problem of energy consumption due to rising energy prices. Therefore, researchers have proposed the concept of energy efficiency, which aims to improve the energy efficiency of the network and reduce the carbon footprint and energy consum...

AI Technical Summary

Problems solved by technology

This design solution solves the QoS problem, but also causes the problem of low energy efficiency of the network. How to design a routing algorithm that can meet the QoS requirements and realize a robust energy-saving network is the main purpose of the present invention

[0004] If the method of making idle routers and links dormant will lead to low utilization of network resources and network performance, it is not suitable for cloud computing networks

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