国家自然科学基金面上项目(61872215)
国家自然科学基金重大项目(U1611461)
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Figure 1
Research framework
Figure 2
(Color online) Number of regions involved in propagation versus the rank of content
Figure 3
Propagation-based content deployment
Figure 4
(Color online) CPCDN based on data-driven strategies
Figure 5
Importance of content elements in web content distribution
图 6
(网络版彩图) 内容传播的转发数量与用户关注者数量关系
图 7
(网络版彩图) 全局参与的转发数量与本地参与的转发数量关系
Figure 8
(Color online)Voronoi-based region segmentation: (a)$\sim$(c) show the segmentation results, where the original region is divided into sub-region 2, 3 and 4
Figure 9
(Color online) Load prediction for content hotspots
| Scalability | Distributed | Processing capability | Stability | Cost | |
| Centralized ( | Normal | Weak | Weak | High | High |
| Peer-to-Peer ( | Strong | Strong | Weak | Low | Low |
| CCN ( | Strong | Normal | Weak | High | High |
| Cloud-based ( | Strong | Normal | Strong | High | Low |
| Edge-based ( | Strong | Strong | Normal | High | Low |
| Beijing | Zhejiang | Guangxi | Shaanxi | |
| China Telecom | 366.8 | 281.4 | 338.7 | 249.4 |
| China Unicom | 512.2 | – | 462.8 | – |
| China Mobile | – | 491.8 | – | – |
| From/To | Business | Hospital | Residence | Campus | Attraction | Shoppingmall | Hotel |
| Business | 4908 | 2205 | 5114 | 1379 | 595 | 1082 | 657 |
| Hospital | 2223 | 1741 | 3479 | 802 | 394 | 698 | 360 |
| Residence | 5145 | 3425 | 9994 | 1787 | 995 | 1727 | 907 |
| Campus | 1369 | 797 | 1743 | 843 | 230 | 367 | 222 |
| Attraction | 596 | 399 | 984 | 215 | 183 | 187 | 123 |
| Shoppingmall | 1101 | 692 | 1671 | 358 | 234 | 494 | 169 |
| Hotel | 616 | 367 | 928 | 214 | 114 | 202 | 213 |
| Notation | Definition |
| $\mathcal{A}$ | Set of candidate edge devices |
| $\mathcal{A}^*$ | Set of edge devices for content distribution |
| $\mathcal{R}$ | Set of regions |
| $\mathcal{E}=\{1,2,\ldots,E\}$ | Set of user requests |
| $\mathcal{U}$ | Set of users |
| $\mathcal{V}$ | Set of content items |
| ${\boldsymbol~P}$ | User partition |
| $W(r)\rightarrow~v$ | Mapping from request $r\in~\mathcal{E}$ to content $v\in~\mathcal{V}$ |
| $E_{a}$ | Number of aggregated requests $a~\in~\mathcal{A}^*$ |
| $f_{ij}$ | Number of requests redirected from edge device $i$ to $j$ |
| $o_{a},~u_{a}$ | Storage and bandwidth capacity of device $a$ |
| $f_{a}$ | Upgrade cost for device $a$ |
| $d_{ea}$ | Distance between user $e$ and edge device $a$ |
| $s_{a}~\in~\{0,1\}$ | Decision variable for device $a$ |
| $x_{ea}\in~\{0,1\}$ | Decision variable for device $a$ to serve user $e$ |
| $\lambda~\in~[0,1]$ | Optimization weight |
| $w_{e}$ | Preference for request $e$ to be redirected |
| $\alpha$, $\beta$, $\gamma$ | Control parameters |
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