Network device management and energy saving method as well as resource management device and route energy saving device thereof

Abstract

The invention relates to a network device management and energy saving method as well as a resource management device and a route energy saving device thereof. The network device management and energy saving method comprises the following steps: network devices are divided into non-intersected groups which are independent and cover a whole network, intersected groups which have shared devices with other groups and cover the whole network, and an auxiliary group which is composed of a number of scattered devices and cannot cover the whole network; sorting all the network device groups in a unified manner; conducting a global energy-saving routing algorithm on the groups one by one; and determining working network device groups and dormant network device groups according to the relationship between network traffic and network capacity and the sorting sequence of the network device groups. As the network resource reorganization of devices of a whole data center network is based on mastering of the original network structure of the data center network, and the subsequent algorithm is conducted on the groups one by one, the complexity of the algorithm is greatly reduced, and the practicability is improved; and not only the problems that working hours of the devices are uneven and the devices are started frequently, but also the problem that network oscillation can be caused by dormancy awakening of the devices is solved.

Description

technical field [0001] The present invention relates to the technical field of network equipment, in particular to a network equipment management and energy-saving method, a resource management device, and a routing energy-saving device. Background technique [0002] The current data center network equipment has high redundancy and low actual use efficiency. Idle network equipment leads to high energy consumption of the data center network. Elastic tree is a typical example of data center network energy saving. The algorithm complexity is high and the optimal path cannot be obtained. And the lack of research on device sleep and wake strategies. [0003] Academic research divides network energy-saving strategies into network-level energy-saving strategies and device-level energy-saving strategies. Among them, the device-level energy-saving strategy is mainly aimed at the specific network infrastructure, and achieves the overall energy-saving goal by reducing the energy consu...

AI Technical Summary

Problems solved by technology

However, the complexity of the algorithm is high, the consumption time is too long, the work efficiency is low, the uncertainty of network equipment dormancy is large, and the risk of network shock is high.

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