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Hierarchical Cache-Aided Networks for Linear Function Retrieval.
Zhang, Lingyu; Kong, Yun; Wu, Youlong; Cheng, Minquan.
  • Zhang L; Guangxi Key Laboratory of Multi-Source Information Mining & Security, Guangxi Normal University, Guilin 541004, China.
  • Kong Y; The Department of Electrical Engineering, University of North Texas, Denton, TX 76207, USA.
  • Wu Y; The School of Information Science and Technology, ShanghaiTech University, Shanghai 201210, China.
  • Cheng M; Guangxi Key Laboratory of Multi-Source Information Mining & Security, Guangxi Normal University, Guilin 541004, China.
Entropy (Basel) ; 26(3)2024 Feb 25.
Article en En | MEDLINE | ID: mdl-38539707
ABSTRACT
In a hierarchical caching system, a server is connected to multiple mirrors, each of which is connected to a different set of users, and both the mirrors and the users are equipped with caching memories. All the existing schemes focus on single file retrieval, i.e., each user requests one file. In this paper, we consider the linear function retrieval problem, i.e., each user requests a linear combination of files, which includes single file retrieval as a special case. We propose a new scheme that reduces the transmission load of the first hop by jointly utilizing the two layers' cache memories, and we show that our scheme achieves the optimal load for the second hop in some cases.
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