A Method for Improving the Success Rate of Data Center Network Update

Abstract

A method for improving a data center network updating success rate provided by the present invention comprises the steps of detecting data streams on a congestion link of a candidate path, migrating a plurality of data streams from the congestion link, so that the new paths formed by the paths in which the migrated data streams are located before the migration can accommodate the new data streams, and the new data streams are transmitted in the new paths. How a feasible network state is searched does not need to be considered, so that an updating sequence does not need to be designed and executed carefully. By scheduling each new data stream locally, the feasible shortest paths are distributed for the new data streams, the updating efficiency is improved, and the migrated data traffic is reduced. According to the present invention, an objective data traffic matrix does not need to be searched in a whole network, and a series of transition states also do not need to be searched between an initial state and an objective state of the network, thereby reducing the packet loss rate of the data packets during a network updating process, and improving the network updating success rate.

Description

technical field [0001] The invention relates to network updating of a data center, in particular to a method for improving the success rate of data center network updating. Background technique [0002] Infrastructure as a Service (IaaS) is a cloud computing model that allows tenants to multiplex computing, storage and networking resources in a data center. With the rapid growth of IaaS, service providers have to rent or build a large-scale data center. Inside each data center, a special data center network (DCN) connects thousands of switches and hundreds of servers. Network update events frequently occur in cloud computing data centers, such as network topology updates, data flow updates caused by network operators, network updates caused by application programs and even switch failures. For example, data center operators periodically upgrade switches in the network and add more switches to support more servers; thus, topology changes occur. For applications, normal VM ...

AI Technical Summary

Problems solved by technology

These flows that need to be migrated will incur additional overhead and may also affect running applications

In other words, these flows that need to be migrated will cause some additional flows to be migrated, resulting in unnecessary rules that need to be installed on the switch

At the same time, link congestion and packet loss will also occur

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