Network equipment management and energy saving method and its resource management device, routing energy saving device

Abstract

The present invention relates to a network equipment management and energy-saving method and its resource management device, and a routing energy-saving device, including dividing network equipment into disjoint groups that are independent and cover the entire network, and intersecting groups that share equipment with other groups and cover the entire network and a number of scattered devices and affiliated groups that cannot cover the entire network, sort each network device group uniformly, and use the group as a unit to perform a global energy-saving routing algorithm. According to the relationship between network traffic and network capacity, according to the sorting order of each group Determine the working network equipment group and the dormant network equipment group. The present invention reorganizes the network resources of the entire data center network equipment on the basis of mastering the original network structure of the data center, and uses the group as a unit in the subsequent algorithm, greatly reducing It reduces the complexity of the algorithm and improves the practicability; it avoids the problems of uneven working time and frequent startup of the device, and also solves the problem of network shocks that may be caused by the device waking up from sleep.

Description

Technical field[0001]The present invention relates to the field of network equipment, and in particular, there is a network device management and an energy saving method and its resource management device, and a routed energy-saving device.Background technique[0002]The current data center network device is high, the actual use efficiency is low, and the idle network equipment causes the data center network energy consumption. Elastic Tree is a typical type of the data center network energy saving. There is a high complexity of the algorithm and cannot obtain the optimal path. And the lack of research on equipment sleep and wake-up strategies.[0003]Academic research divides network energy saving strategies into network-level energy-saving strategies and equipment-level energy-saving strategies. Among them, the equipment-level energy-saving strategy is mainly for specific network infrastructure, and the overall energy-saving target is achieved by reducing each hardware device itself, ...

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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