Method for online distribution information system
A technology for publishing information and messages, applied in the field of computer networks, and can solve problems such as upload bandwidth performance bottlenecks
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Embodiment 1
[0028] Embodiment 1: The online publishing information system is an information interaction system based on network technology. At present, the network-based application architecture basically uses a client / server (C / S) model. In this architecture, two equal and autonomous machines are used. When one party needs the service of the other party, the party requesting the service acts as a client to initiate a request to the server that provides the service, and the server responds to the request and processes it. The result is returned to the client. Even if the execution of this task does not require the result of the previous request as a prerequisite, the client needs to be in a waiting state until it gets the response from the server, and cannot continue to perform other tasks. This C / S model is relatively simple, and can meet most application requirements. It can reduce the coupling degree between different systems that need to work together, and improve the cohesion among ...
Embodiment 2
[0044] In the matching class, the classification attribute is established according to the classification number, the classification attribute is a typical word representing the classification number, and the typical word is a key predicate contained therein, and the described n groups under each classification number For the meta event and the complex event, a plurality of data groups are established, and each of the data groups represents a classification number, including n data groups, and each unit in the data group stores one of the For meta-events or complex events, the first unit of the first data group stores the classification attributes, and for a subscription message, first classifies words according to the filtering conditions specified by the subscription client included in it. Extract the keywords contained in it to find the matching data group, when the meta-event and the complex event in the data group and the subscription message are expressed as meta-events o...
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