{"title":"体育视频直播快速分发的云边缘合作机制","authors":"Jie Feng","doi":"10.1002/itl2.70041","DOIUrl":null,"url":null,"abstract":"<div>\n \n <p>The proliferation of live video has led to an explosion of video content across cross-domain edge–cloud networks. This is particularly evident during intensive event coverage, where Sports Live imposes significant processing pressures on real-time delivery and user experience within these networks. To address these challenges, this paper introduces a fast video distribution system for sports content that leverages the synergy between cloud computing and edge computing. By deploying edge devices to distribute sports video content, the system adeptly manages the sparsity and randomness of user requests and behaviors in edge networks. Focusing on the characteristics of smaller user groups allows for a more accurate representation of the broader audience, optimizing performance at a lower operational cost. Both cloud and edge computing devices are equipped with storage capabilities to cache sports video content, thereby implementing a dual caching strategy. This approach offers two primary benefits: it conserves core network bandwidth and minimizes latency for users accessing content. Given the escalating demands for low-latency and high-bandwidth multimedia sports video content—such as real-time interactive sports broadcasts and UHD sports videos—the proposed cloud–edge collaborative caching mechanism effectively meets these stringent requirements. The system ensures seamless and efficient delivery, enhancing both user satisfaction and operational efficiency in dynamic sports streaming environments.</p>\n </div>","PeriodicalId":100725,"journal":{"name":"Internet Technology Letters","volume":"8 4","pages":""},"PeriodicalIF":0.9000,"publicationDate":"2025-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Cloud-Edge Cooperation Mechanism for Fast Live Sports Video Distribution\",\"authors\":\"Jie Feng\",\"doi\":\"10.1002/itl2.70041\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div>\\n \\n <p>The proliferation of live video has led to an explosion of video content across cross-domain edge–cloud networks. This is particularly evident during intensive event coverage, where Sports Live imposes significant processing pressures on real-time delivery and user experience within these networks. To address these challenges, this paper introduces a fast video distribution system for sports content that leverages the synergy between cloud computing and edge computing. By deploying edge devices to distribute sports video content, the system adeptly manages the sparsity and randomness of user requests and behaviors in edge networks. Focusing on the characteristics of smaller user groups allows for a more accurate representation of the broader audience, optimizing performance at a lower operational cost. Both cloud and edge computing devices are equipped with storage capabilities to cache sports video content, thereby implementing a dual caching strategy. This approach offers two primary benefits: it conserves core network bandwidth and minimizes latency for users accessing content. Given the escalating demands for low-latency and high-bandwidth multimedia sports video content—such as real-time interactive sports broadcasts and UHD sports videos—the proposed cloud–edge collaborative caching mechanism effectively meets these stringent requirements. The system ensures seamless and efficient delivery, enhancing both user satisfaction and operational efficiency in dynamic sports streaming environments.</p>\\n </div>\",\"PeriodicalId\":100725,\"journal\":{\"name\":\"Internet Technology Letters\",\"volume\":\"8 4\",\"pages\":\"\"},\"PeriodicalIF\":0.9000,\"publicationDate\":\"2025-05-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Internet Technology Letters\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://onlinelibrary.wiley.com/doi/10.1002/itl2.70041\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"TELECOMMUNICATIONS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Internet Technology Letters","FirstCategoryId":"1085","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/itl2.70041","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"TELECOMMUNICATIONS","Score":null,"Total":0}
Cloud-Edge Cooperation Mechanism for Fast Live Sports Video Distribution
The proliferation of live video has led to an explosion of video content across cross-domain edge–cloud networks. This is particularly evident during intensive event coverage, where Sports Live imposes significant processing pressures on real-time delivery and user experience within these networks. To address these challenges, this paper introduces a fast video distribution system for sports content that leverages the synergy between cloud computing and edge computing. By deploying edge devices to distribute sports video content, the system adeptly manages the sparsity and randomness of user requests and behaviors in edge networks. Focusing on the characteristics of smaller user groups allows for a more accurate representation of the broader audience, optimizing performance at a lower operational cost. Both cloud and edge computing devices are equipped with storage capabilities to cache sports video content, thereby implementing a dual caching strategy. This approach offers two primary benefits: it conserves core network bandwidth and minimizes latency for users accessing content. Given the escalating demands for low-latency and high-bandwidth multimedia sports video content—such as real-time interactive sports broadcasts and UHD sports videos—the proposed cloud–edge collaborative caching mechanism effectively meets these stringent requirements. The system ensures seamless and efficient delivery, enhancing both user satisfaction and operational efficiency in dynamic sports streaming environments.