Edge Computing for Efficient Storage and Low-Latency Video Streaming in Cloud Environments-Reference-Cited by-同舟云学术

Edge Computing for Efficient Storage and Low-Latency Video Streaming in Cloud Environments

Published:2023-09-16 Issue: Volume: Page:
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Container-title:2023 IEEE International Conference on Artificial Intelligence, Blockchain, and Internet of Things (AIBThings)
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Author:

Darwich Mahmoud¹,Khalil Kasem²,Ismail Yasser³,Bayoumi Magdy⁴

Affiliation:

1. University of Mount Union,Department of Mathematics and Computer Science,Alliance,OH,44601

2. University of Mississippi, University,Department of Electrical and Computer Engineering,MS,38677

3. Southern University and A&M College,Electrical Engineering Department,Baton Rouge,LA,70807

4. University of Louisiana at Lafayette,Department of Electrical and Computer Engineering,LA,70504

Publisher

IEEE

Link

Reference17 articles.

Cited by 7 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

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2. Utilizing Swarm Intelligence for Optimized Video Data Distribution in Edge Networks;2024 IEEE 3rd International Conference on Computing and Machine Intelligence (ICMI);2024-04-13

4. Optimizing QoE in IoT-Based Video Streaming through Deep Learning Algorithms;2024 International Conference on Artificial Intelligence in Information and Communication (ICAIIC);2024-02-19

5. Deep Learning-Driven Video Summarization on the Cloud: A Pathway to Efficient Storage and Quick Access;2023 IEEE 16th International Symposium on Embedded Multicore/Many-core Systems-on-Chip (MCSoC);2023-12-18