Internet of things identification analytic method with intelligent cache module

Abstract

The invention provides an internet of things identification analytic method with an intelligent cache module. The method comprises the steps of receiving a query analytic request for an application program of a client terminal by calling an interface to obtain an article code, conducting query on the intelligent cache module of an analytic device, if an analytic result exists in the intelligent cache module, directly returning the analytic result from the intelligent cache module, if the analytic result does not exist, converting the code into a domain name which can be identified by a DNS, conducting interactive query on the domain name, a local cache name server and a DNS cloud, and returning the analytic result back to the application program. The intelligent cache module records and stores logs generated by the every-time query request and the every-time query result, and can predict the article code of the next query. According to the internet of things identification analytic method with the intelligent cache module, loads of a root server are reduced, behavior habits of the application program can be obtained through the introduced intelligent prediction cache, prediction can be achieved in advance, the response time of the application program is shortened, and the analytic efficiency is improved.

Description

technical field [0001] The invention belongs to the field of computers, and relates to an Internet of Things identification analysis method with an intelligent cache module, in particular to an Internet of Things identification analysis method with an intelligent prediction cache. Background technique [0002] In 1999, Professor Ashton of the MIT Auto-ID Center firstly proposed the concept of the Internet of Things (Internet of Things) at the International Conference on Mobile Computing and Networks held in the United States. After that, the Internet of Things has been vigorously developed in various countries. The Internet of Things defines a unique identifier for each item for identification, and connects various items through the existing network infrastructure to achieve positioning, tracking, monitoring and management. With the geometric multiplication of the number of connected things, the distribution of identities and their interpretation become more and more serious...

AI Technical Summary

Problems solved by technology

In addition, ONS makes full use of the DNS infrastructure and inherits all the shortcomings of DNS. Although the recursive server uses a caching mechanism, the client does not have a caching mechanism that is really suitable for the actual needs of the Internet of Things.

To sum up, the above two reasons lead to the use of ONS design, which will cause delay in response to query analysis requests, overload the server, and each query will generate a lot of request messages, which also increases the load on the network, and the analysis efficiency is low.

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