coded caching
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Author(s):  
Kangning Ma ◽  
Shuo Shao ◽  
Jianfeng Shao
Keyword(s):  

Author(s):  
Leitang Huang ◽  
Xiaojun Li ◽  
Minquan Cheng ◽  
Kai Wan

Entropy ◽  
2021 ◽  
Vol 23 (11) ◽  
pp. 1459
Author(s):  
Behrouz Zolfaghari ◽  
Vikrant Singh ◽  
Brijesh Kumar Rai ◽  
Khodakhast Bibak ◽  
Takeshi Koshiba

The idea behind network caching is to reduce network traffic during peak hours via transmitting frequently-requested content items to end users during off-peak hours. However, due to limited cache sizes and unpredictable access patterns, this might not totally eliminate the need for data transmission during peak hours. Coded caching was introduced to further reduce the peak hour traffic. The idea of coded caching is based on sending coded content which can be decoded in different ways by different users. This allows the server to service multiple requests by transmitting a single content item. Research works regarding coded caching traditionally adopt a simple network topology consisting of a single server, a single hub, a shared link connecting the server to the hub, and private links which connect the users to the hub. Building on the results of Sengupta et al. (IEEE Trans. Inf. Forensics Secur., 2015), we propose and evaluate a yet more complex system model that takes into consideration both throughput and security via combining the mentioned ideas. It is demonstrated that the achievable rates in the proposed model are within a constant multiplicative and additive gap with the minimum secure rates.


2021 ◽  
Author(s):  
K. K. Krishnan Namboodiri ◽  
B. Sundar Rajan
Keyword(s):  

2021 ◽  
Author(s):  
Pooja Nayak Muralidhar ◽  
Digvijay Katyal ◽  
B. Sundar Rajan

2021 ◽  
Author(s):  
Pruthvi Trinadh ◽  
Monolina Dutta ◽  
Anoop Thomas ◽  
B. Sundar Rajan
Keyword(s):  

2021 ◽  
Author(s):  
Pooja Nayak Muralidhar ◽  
Digvijay Katyal ◽  
B. Sundar Rajan
Keyword(s):  

2021 ◽  
Author(s):  
Shreya Shrestha Meel ◽  
B. Sundar Rajan
Keyword(s):  

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