Information updating method, information updating device, terminal and server

Abstract

The invention provides an information updating method, an information updating device, a terminal and a server. The information updating method comprises the following steps of constructing an empty Bloom filter; serializing a characteristic value sequence of to-be-detected information in the terminal to a corresponding character string; computing a hash value of the character string according to an unencrypted hash function and filling the Bloom filter according to the hash value; and sending the filled Bloom filter and detection parameter information to the server to make the server detect whether the to-be-detected information is updated according to the filled Bloom filter and the detection parameter information. Through the technical scheme of the invention, minimization of mobile network traffic can be realized, the technical scheme can be realized through serializing the characteristic value of the to-be-detected information and computing the hash value, and the algorithm is simple and efficient.

Description

technical field [0001] The present invention relates to the field of information technology, in particular, to an information update method, an information update device, a terminal and a server. Background technique [0002] At present, due to the limitations of mobile network traffic, bandwidth and availability, applications in terminals usually need to cache some data on the terminal to save mobile network traffic, while still providing services to users when mobile network quality is low or unavailable. Moreover, since the data on the server may change at any time, it is necessary to detect and update the cached data on the terminal to keep the cached data on the terminal synchronized with the data on the server. [0003] Traditional data synchronization methods generally rely on the last updated timestamp of each data record or give a globally incremented version number. However, in a distributed deployment service environment, it is necessary to maintain the global con...

AI Technical Summary

Problems solved by technology

[0003] Traditional data synchronization methods generally rely on the last updated timestamp of each data record or give a globally incremented version number. However, in a distributed deployment service environment, it is necessary to maintain the global consistency of multiple server timestamps and version numbers. The cost is very high, and this synchronization method is difficult to process cached data in scenarios with changing timestamps or discontinuous version numbers

Moreover, this data synchronization method needs to send all the cached data on the terminal to the server to detect whether the cached data needs to be updated, which requires a large amount of mobile network traffic and complex calculations. For the terminal, a large number of mobile network The traffic and complex calculations are unbearable for the terminal

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