Large-scale interconnection cluster method for vehicle-mounted terminal

Abstract

The invention relates to a large-scale interconnection cluster method for a vehicle-mounted terminal. The large-scale interconnection cluster method is characterized by comprising the following steps:(1) building a netty server cluster, wherein the netty server cluster comprises a plurality of netty service assemblies and two sets of netty load balancing middleware; (2) performing, by one set ofnetty load balancing middleware, load balancing on the netty service assemblies to receive requests sent by a plurality of sets of vehicle-mounted terminal equipment in real time, sending the requeststo the surviving netty service assemblies, and performing, by the other set of netty load balancing middleware, real-time monitoring in a background; (3) sending, by each surviving netty service assembly, the requests to a service provider, and distributing, by the service provider, all the requests to corresponding microservices; (4) sending, by the microservices, business data requests to a database; and (5) reading or writing, by the database, the business data requests by adopting a double master library and double slave library mode, and feeding a processing result back to the corresponding vehicle-mounted terminal equipment. The large-scale interconnection cluster method can be widely applied to the technical field of the Internet of vehicles.

Description

technical field [0001] The invention relates to a method for a large-scale interconnection cluster of vehicle-mounted terminals, and belongs to the technical field of the Internet of Vehicles. Background technique [0002] In recent years, the particularity of the Internet of Vehicles industry and the explosive growth of the number of terminal devices have put forward higher requirements for the IT service architecture of the Internet of Vehicles. There may be millions of vehicle-mounted terminal devices in the Internet of Vehicles that continuously collect data. The data of the Internet of Vehicles must be stored safely for use by others or the system. How to ensure that the data of the Internet of Vehicles can be uploaded to the cloud server safely and quickly is a concern of people. [0003] The existing data collection methods of the Internet of Vehicles generally have low disaster tolerance and weak scalability, and the difficulty of unlimited expansion of big data stor...

AI Technical Summary

Problems solved by technology

[0003] The existing data collection methods of the Internet of Vehicles generally have low disaster tolerance and weak scalability, and the difficulty of unlimited expansion of big data storage is also very high. Therefore, a distributed and high-reliability Internet of Vehicles data collection system (responsive data system) is important

Secondly, the existing data storage architecture of the Internet of Vehicles cannot meet the data storage needs of the Internet of Vehicles under the explosive growth of the number of vehicle-mounted terminal devices. Still intact car data storage architecture is also important

At the same time, because the Internet of Vehicles needs to respond in a timely manner, the data storage of the Internet of Vehicles has a low latency (millisecond level), and the existing Internet data access speed cannot meet the needs of the Internet of Vehicles.

[0004] However, the existing data collection and storage architecture of the Internet of Vehicles generally adopts dual-master (mutual active-standby) failover to realize data synchronization between two nodes, but this method cannot guarantee the consistency of data reception of the Internet of Vehicles. Moreover, the delay in receiving data from the Internet of Vehicles is relatively high. Therefore, it is urgent to establish a method that can effectively solve the above problems

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