An online learning method for multi-objective active caching based on linear weighting principle
A linearly weighted, learning-based technique with applications in selective content distribution, other database retrieval, electrical components, etc.
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[0028] The technical solution of the present invention will be described in detail below according to a specific implementation case. However, it should not be understood that the scope of the above-mentioned subject of the present invention is limited to the following examples, and all technologies implemented based on the content of the present invention belong to the scope of the present invention.
[0029] Firstly, the data setting of the specific implementation example of the present invention is introduced. It is assumed that the popularity of files and the value of files in the present invention obey the Zipf distribution. The file popularity Zipf value is set to 0.58; the file value Zipf value is set to 0.95. Time T=8000, number of users is 250, number of cached files is m=60, number of files is F=1000, h=(0.55, 0.45).
[0030] Such as figure 2 Shown is the flow chart of the algorithm, which specifically includes the following steps:
[0031] Step 1. Set the curre...
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