Joint admission control and content caching policy for energy harvesting access points

2016 ◽  
Author(s):  
Dusit Niyato ◽  
Dong In Kim ◽  
Ping Wang ◽  
Mehdi Bennis
Keyword(s):  
Energy Harvesting ◽  
Admission Control ◽  
Access Points ◽  
Content Caching ◽  
Caching Policy

Resource Allocation and Admission Control for an Energy Harvesting Cooperative OFDMA Network

2018 ◽  
Vol 67 (5) ◽  
pp. 4071-4086 ◽  
Author(s):  
Fei Wang ◽  
Songtao Guo ◽  
Bin Xiao ◽  
Yuanyuan Yang ◽  
Xi Zhang
Keyword(s):  
Resource Allocation ◽  
Energy Harvesting ◽  
Admission Control

scholarly journals Popularity-Aware In-Network Caching for Edge Named Data Network

2021 ◽  
Vol 2021 ◽  
pp. 1-13
Author(s):  
Jiliang Yin ◽  
Congfeng Jiang ◽  
Hidetoshi Mino ◽  
Christophe Cérin
Keyword(s):  
Network Architecture ◽  
Cloud Service ◽  
Reduction Ratio ◽  
Core Network ◽  
Content Caching ◽  
User Request ◽  
Content Popularity ◽  
Flow Pressure ◽  
Edge Networks ◽  
Caching Policy

The traditional centralized network architecture can lead to a bandwidth bottleneck in the core network. In contrast, in the information-centric network, decentralized in-network caching can alleviate the traffic flow pressure from the network center to the edge. In this paper, a popularity-aware in-network caching policy, namely, Pop, is proposed to achieve an optimal caching of network contents in the resource-constrained edge networks. Specifically, Pop senses content popularity and distributes content caching without adding additional hardware and traffic overhead. We conduct extensive performance evaluation experiments by using ndnSIM. The experiments showed that the Pop policy achieves 54.39% cloud service hit reduction ratio and 22.76% user request average hop reduction ratio and outperforms other policies including Leave Copy Everywhere, Leave Copy Down, Probabilistic Caching, and Random choice caching. In addition, we proposed an ideal caching policy (Ideal) as a baseline whose popularity is known in advance; the gap of Pop and Ideal in cloud service hit reduction ratio is 4.36%, and the gap in user request average hop reduction ratio is only 1.47%. More simulation results further show the accuracy of Pop in perceiving popularity of contents, and Pop has good robustness in different request scenarios.

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