scholarly journals Edge caching strategy design and reward contract optimization for uAV-enabled mobile edge networks

Author(s):  
Weidang Lu ◽  
Bin Yin ◽  
Guoxiang Huang ◽  
Bo Li
2021 ◽  
Vol 2021 ◽  
pp. 1-14
Author(s):  
Shijie Jia ◽  
Zhen Zhou ◽  
WeiLing Li ◽  
Youzhong Ma ◽  
Ruiling Zhang ◽  
...  

The video traffic offloading in edge networks is an effective method for remission of congestion of backward paths in 5G networks by continual optimization of video distribution to promote scale and efficiency of video delivery in edge networks (e.g., D2D-based near-end sharing). Because the video resources are dispersedly cached in local buffer of mobile devices of video users, the management of local video resources of video users in edge networks (e.g., caching and removing of local videos) causes dynamic variation of video distribution in networks. The real-time adjustment of local resources of users in terms of the influence levels (e.g., promotion and recession) of video sharing performance is significant for the continual distribution optimization. In this paper, we propose a novel Social-aware Edge Caching Strategy of Video Resources in 5G Ultra-Dense Network (SECS). SECS designs an estimation method of interest domain of users, which employs the Spectral Clustering to generate initial video clusters and makes use of the Fuzzy C-Means (FCM) to refine the initial video clusters. A user clustering method is proposed, which enables the users with common and similar interests to be clustered into the same groups by estimating similarity levels of interest domain between users. SECS designs a performance-aware video caching strategy, which enables the users intelligently implement management (caching and removing) of local video resources in terms of influence for the intragroup sharing performance. Extensive tests show how SECS achieves much better performance results in comparison with the state-of-the-art solutions.


2021 ◽  
Author(s):  
Chao Yao ◽  
Changkun Jiang ◽  
Zun Liu ◽  
Jie Chen ◽  
Jianqiang Li

2013 ◽  
Vol 2013 ◽  
pp. 1-9 ◽  
Author(s):  
Jinjiang Liu ◽  
Yihua Lan ◽  
Jingjing Liang ◽  
Quanzhou Cheng ◽  
Chih-Cheng Hung ◽  
...  

Traditional caching strategy is mainly based on the memory cache, taking read-write speed as its ultimate goal. However, with the emergence of SSD, the design ideas of traditional cache are no longer applicable. Considering the read-write characteristics and times limit of erasing, the characteristics of SSD are taken into account as far as possible at the same time of designing caching strategy. In this paper, the flexible and adaptive cache strategy based on SSD is proposed, called FAC, which gives full consideration to the characteristics of SSD itself, combines traditional caching strategy design ideas, and then maximizes the role SSD has played. The core mechanism is based on the dynamic adjustment capabilities of access patterns and the efficient selection algorithm of hot data. We have developed dynamical adjust section hot data algorithm, DASH in short, to adjust the read-write area capacity to suit the current usage scenario dynamically. The experimental results show that both read and write performance of caching strategy based on SSD have improved a lot, especially for read performance. Compared with traditional caching strategy, the technique can be used in engineering to reduce write times to SSD and prolong its service life without lowering read-write performance.


2018 ◽  
Vol 12 (14) ◽  
pp. 1728-1736 ◽  
Author(s):  
Shuo Wang ◽  
Xing Zhang ◽  
Lin Wang ◽  
Juwo Yang ◽  
Wenbo Wang

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