Intelligent scheduling distributed path calculation method and system

Abstract

The invention discloses an intelligent scheduling distributed path calculation method and system, and the method comprises the steps: a detection server initiates a detection data request; the intelligent scheduling platform obtains the heartbeat detection result of the central path calculation server cluster of each region from the monitoring platform, and if the heartbeat detection result of the target central path calculation server cluster of the region where the detection server is located is normal, the target central path calculation server cluster of the region where the detection server is located is abnormal; scheduling the detection data request to the target central path computing server cluster; and a switch in the target central path computing server cluster schedules the detection data request to a central path computing server according to a load balancing mode, so that the detection data is stored through the central path computing server. And synchronizing the detection data to a central path computing server cluster in other regions. According to the technical scheme provided by the invention, the processing efficiency of the detection request can be improved.

Description

technical field [0001] The invention relates to the technical field of the Internet, in particular to an intelligent scheduling distributed path calculation method and system. Background technique [0002] The traditional CDN (Content Delivery Network, Content Distribution Network) dynamically loads the intelligent routing system to dynamically request users, mainly through the detection server to actively initiate periodic detection requests to detect the availability and network performance of the CDN's transit nodes and source stations. As a result, the optimal back-to-source link is selected. However, after obtaining the detection results, in order to reduce the computational pressure of the detection server, the detection and route selection function modules are usually separated into different servers or server clusters, and the route selection uses a special server (usually a high-end machine based on the border gateway protocol) ) as the central path calculation ser...

AI Technical Summary

Problems solved by technology

[0003] In order to achieve high availability of central path computing, some of the existing central path computing server architectures are server clusters that are only deployed in a certain area. This method will lead to the problem of long delay or even failure in reporting detection data.

In addition, once the computer room in the area is powered off or cut over, the calculation of the optimal back-to-source path cannot be performed

Some are deployed in multiple different regions, but adopt the active-standby architecture. Although this method can solve the problem of power failure in the computer room in a certain region, it cannot schedule the detection data requests reported by the detection servers in different regions nearby, and the backup central path Computing servers are idle in most cases, which not only wastes resources, but also the active and standby central path computing server clusters cannot balance the requests for reporting detection data from detection servers in different regions, and it is not convenient to expand and change the cluster in the future

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