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Erschienen in: Neural Computing and Applications 3/2020

09.02.2019 | Intelligent Biomedical Data Analysis and Processing

Placement delivery array design for the coded caching scheme in medical data sharing

verfasst von: Rong Sun, Huihui Zheng, Jingwei Liu, Xiaojiang Du, Mohsen Guizani

Erschienen in: Neural Computing and Applications | Ausgabe 3/2020

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Abstract

A coded caching scheme for efficient storage and access of medical data is discussed in this paper. Being an inspiring technology for improving the availability and sharing of medical data, the coded caching scheme for medical data is not only convenient for the medical staffs to grasp the patients’ health conditions and treatment history in time, but also effective for the patients to obtain improved quality of medical services. In this paper, the coded caching scheme for the combination network which is the model for the medical data sharing is studied. In the combination network, the server communicates with the users via multiple relays, and the relays as well as the users have cache memories. Using the maximum distance separable codes and placement delivery array (PDA) algorithm, the coded placement phase and delivery phase for combination networks are designed. In addition, for combination networks that satisfy the resolvability property, we extend the PDA algorithm to the case where the users’ priority is considered. The proposed scheme greatly reduces the subpacketization level with slightly increasing the transmission rate. The users with higher priority can get the requested content faster. We demonstrate that relays with cache memories can reduce the data transmission in peak time. The gap between the upper bound and lower bound of the transmission rate is gradually decreased with the increase in the users’ memories. The proposed scheme will shorten the latency time of the system and improve system efficiency for storage and access of medical data.

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Metadaten
Titel
Placement delivery array design for the coded caching scheme in medical data sharing
verfasst von
Rong Sun
Huihui Zheng
Jingwei Liu
Xiaojiang Du
Mohsen Guizani
Publikationsdatum
09.02.2019
Verlag
Springer London
Erschienen in
Neural Computing and Applications / Ausgabe 3/2020
Print ISSN: 0941-0643
Elektronische ISSN: 1433-3058
DOI
https://doi.org/10.1007/s00521-019-04042-x

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