Privacy protection distributed computing method and system for dynamically loading code library
A distributed computing and privacy protection technology, applied in the field of cloud platform distributed computing and cloud user privacy protection, it can solve problems such as performance impact and triggering, and achieve the effect of guaranteed minimization, guaranteed trusted area, and high performance
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[0045] In order to further illustrate the features and advantages of the present invention, the following will be described in detail with reference to the accompanying drawings.
[0046] This embodiment provides a privacy-protected distributed computing method and system for dynamically loading a code base, using an open source distributed cluster Hadoop MapReduce as the underlying system support, and providing a series of security execution components on it. The system is fully compatible with the native MapReduce programming framework. If the user needs to run the job in a privacy-protected manner, it can be achieved by calling the provided API in the code. At the same time, this system also has good portability. By implementing the corresponding computing interface, it can also be applied to other clusters, such as Apache Spark and Storm.
[0047] Before using this system, the system needs to be deployed. In addition to following the deployment method of the original Had...
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