Robust energy efficiency routing method for teaching cloud computing network

Abstract

The invention discloses a robust energy efficiency routing method for a teaching cloud computing network, and belongs to the field of cloud computing network green communication. According to the invention, the maximum group of dormant links are searched by applying the SRLA, and the redundant links are converted into the dormant state as much as possible, so that the energy-saving network is realized. The REERA can meet the network robustness requirement under the condition of ensuring normal network routing. The MCRA routing algorithm represents the stability of the whole network through thenetwork criticality, and finally, the dormant redundant link algorithm is combined with the minimum criticality routing algorithm to construct the robust high-efficiency energy-saving routing of thecloud computing network, so that the problem of low-energy-efficiency cloud computing backbone network operation is solved. More importantly, the method can dynamically change and adjust the link weight, ensures that the links can be used in a maximum unified manner, avoids traffic congestion when some links of the cloud computing network are used excessively, and can improve the performance of the whole 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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