Cloud-edge collaboration based computer vision inference mechanism
The popularity of deep learning and cloud computing has promoted the widespread application of computer vision in various industries.However, centralized cloud inference services have problems such as high bandwidth resource consumption, image data privacy leakage, and high latency.It is hard that s...
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| Format: | Article |
| Language: | zho |
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Beijing Xintong Media Co., Ltd
2021-05-01
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| Series: | Dianxin kexue |
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| Online Access: | http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2021107/ |
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| author | Boheng TANG Xingang CHAI |
| author_facet | Boheng TANG Xingang CHAI |
| author_sort | Boheng TANG |
| collection | DOAJ |
| description | The popularity of deep learning and cloud computing has promoted the widespread application of computer vision in various industries.However, centralized cloud inference services have problems such as high bandwidth resource consumption, image data privacy leakage, and high latency.It is hard that satisfy demand which requires diversified computer vision application.The dual gigabit upgrade of the communication network will promote depth collaboration of computer vision cloud-edge algorithms.Aiming to study the computer vision inference mechanism based on cloud-edge collaboration.Firstly, the advantages and disadvantages of the mainstream cloud and edge computer vision inference models in recent years were analyzed and explained, and on this basis, research on the cloud-edge collaborative computer vision inference model framework and deployment mechanism was carried out, model distributed reasoning model segmentation strategy, cloud-side collaborative network deployment optimization strategy was discussed in detail.In the end, the challenge and prospect of deep learning cloud-edge collaboration inference in future was discussed through data collaboration, network partition collaboration, and business function collaboration . |
| format | Article |
| id | doaj-art-ac30ca1ac8624e4abca222e2f28d5f14 |
| institution | Kabale University |
| issn | 1000-0801 |
| language | zho |
| publishDate | 2021-05-01 |
| publisher | Beijing Xintong Media Co., Ltd |
| record_format | Article |
| series | Dianxin kexue |
| spelling | doaj-art-ac30ca1ac8624e4abca222e2f28d5f142025-01-15T03:26:15ZzhoBeijing Xintong Media Co., LtdDianxin kexue1000-08012021-05-0137728159808062Cloud-edge collaboration based computer vision inference mechanismBoheng TANGXingang CHAIThe popularity of deep learning and cloud computing has promoted the widespread application of computer vision in various industries.However, centralized cloud inference services have problems such as high bandwidth resource consumption, image data privacy leakage, and high latency.It is hard that satisfy demand which requires diversified computer vision application.The dual gigabit upgrade of the communication network will promote depth collaboration of computer vision cloud-edge algorithms.Aiming to study the computer vision inference mechanism based on cloud-edge collaboration.Firstly, the advantages and disadvantages of the mainstream cloud and edge computer vision inference models in recent years were analyzed and explained, and on this basis, research on the cloud-edge collaborative computer vision inference model framework and deployment mechanism was carried out, model distributed reasoning model segmentation strategy, cloud-side collaborative network deployment optimization strategy was discussed in detail.In the end, the challenge and prospect of deep learning cloud-edge collaboration inference in future was discussed through data collaboration, network partition collaboration, and business function collaboration .http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2021107/computer visiondeep learning,cloud-edge collaboration |
| spellingShingle | Boheng TANG Xingang CHAI Cloud-edge collaboration based computer vision inference mechanism Dianxin kexue computer vision deep learning, cloud-edge collaboration |
| title | Cloud-edge collaboration based computer vision inference mechanism |
| title_full | Cloud-edge collaboration based computer vision inference mechanism |
| title_fullStr | Cloud-edge collaboration based computer vision inference mechanism |
| title_full_unstemmed | Cloud-edge collaboration based computer vision inference mechanism |
| title_short | Cloud-edge collaboration based computer vision inference mechanism |
| title_sort | cloud edge collaboration based computer vision inference mechanism |
| topic | computer vision deep learning, cloud-edge collaboration |
| url | http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2021107/ |
| work_keys_str_mv | AT bohengtang cloudedgecollaborationbasedcomputervisioninferencemechanism AT xingangchai cloudedgecollaborationbasedcomputervisioninferencemechanism |