Collaborative computing platform system and method in edge environment
A computing platform and computing method technology, applied in the field of big data analysis, can solve problems such as low degree of parallelism and need to improve operating efficiency, and achieve the effect of ensuring security, strong scalability, and ensuring data security
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[0033] The specific implementation manners of the present invention will be described in detail below in conjunction with the accompanying drawings.
[0034] When users submit computing requests in different ways, the implementation steps of the collaborative computing method in the edge environment of the present invention are as follows: figure 1 and figure 2 shown. When directly specifying a single service call (the called service can be a streaming or non-streaming computing service), the implementation steps are as follows:
[0035] (1) Calculation request analysis. The user directly specifies a computing service and parameters through the computing request page (step ①), and the request parsing module generates an atomic service call task accordingly and sends it to the service execution task scheduling sub-module of the central node control module (step ②);
[0036] (2) Generation and release of service invocation tasks. After the service execution task scheduling ...
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