Method and device for determining quantile points of sample characteristics in distributed clusters
A distributed cluster and sample feature technology, applied in the field of sample feature quantile determination, which can solve problems such as frequent reading
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[0089] The solutions provided in this specification will be described below in conjunction with the accompanying drawings.
[0090] figure 1 It is a schematic diagram of an implementation scenario of an embodiment disclosed in this specification. Multiple nodes in a Trusted Execution Environment (TEE) can form a distributed cluster. In this distributed cluster, nodes can be divided into master nodes and slave nodes. figure 1 Only 3 slave nodes are shown in , and this description does not limit the number of nodes in the distributed cluster. Nodes in TEE include CPU and memory. figure 1In the figure, the master node is taken as an example, and the CPU and memory in it are shown. Memory is used to store data, CPU is used to process data, and CPU can access data in memory. Specifically, the CPU can read data from the memory, process the data with an application program running on the CPU, and write data to the memory. The trusted execution environment isolates the CPU and m...
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