基于云的视频流服务:趋势、挑战和机遇

IF 8.4 2区 计算机科学 Q1 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE CAAI Transactions on Intelligence Technology Pub Date : 2024-03-14 DOI:10.1049/cit2.12299
Tajinder Kumar, Purushottam Sharma, Jaswinder Tanwar, Hisham Alsghier, Shashi Bhushan, Hesham Alhumyani, Vivek Sharma, Ahmed I. Alutaibi
{"title":"基于云的视频流服务:趋势、挑战和机遇","authors":"Tajinder Kumar,&nbsp;Purushottam Sharma,&nbsp;Jaswinder Tanwar,&nbsp;Hisham Alsghier,&nbsp;Shashi Bhushan,&nbsp;Hesham Alhumyani,&nbsp;Vivek Sharma,&nbsp;Ahmed I. Alutaibi","doi":"10.1049/cit2.12299","DOIUrl":null,"url":null,"abstract":"<p>Cloud computing has drastically changed the delivery and consumption of live streaming content. The designs, challenges, and possible uses of cloud computing for live streaming are studied. A comprehensive overview of the technical and business issues surrounding cloud-based live streaming is provided, including the benefits of cloud computing, the various live streaming architectures, and the challenges that live streaming service providers face in delivering high-quality, real-time services. The different techniques used to improve the performance of video streaming, such as adaptive bit-rate streaming, multicast distribution, and edge computing are discussed and the necessity of low-latency and high-quality video transmission in cloud-based live streaming is underlined. Issues such as improving user experience and live streaming service performance using cutting-edge technology, like artificial intelligence and machine learning are discussed. In addition, the legal and regulatory implications of cloud-based live streaming, including issues with network neutrality, data privacy, and content moderation are addressed. The future of cloud computing for live streaming is examined in the section that follows, and it looks at the most likely new developments in terms of trends and technology. For technology vendors, live streaming service providers, and regulators, the findings have major policy-relevant implications. Suggestions on how stakeholders should address these concerns and take advantage of the potential presented by this rapidly evolving sector, as well as insights into the key challenges and opportunities associated with cloud-based live streaming are provided.</p>","PeriodicalId":46211,"journal":{"name":"CAAI Transactions on Intelligence Technology","volume":"9 2","pages":"265-285"},"PeriodicalIF":8.4000,"publicationDate":"2024-03-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/cit2.12299","citationCount":"0","resultStr":"{\"title\":\"Cloud-based video streaming services: Trends, challenges, and opportunities\",\"authors\":\"Tajinder Kumar,&nbsp;Purushottam Sharma,&nbsp;Jaswinder Tanwar,&nbsp;Hisham Alsghier,&nbsp;Shashi Bhushan,&nbsp;Hesham Alhumyani,&nbsp;Vivek Sharma,&nbsp;Ahmed I. Alutaibi\",\"doi\":\"10.1049/cit2.12299\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>Cloud computing has drastically changed the delivery and consumption of live streaming content. The designs, challenges, and possible uses of cloud computing for live streaming are studied. A comprehensive overview of the technical and business issues surrounding cloud-based live streaming is provided, including the benefits of cloud computing, the various live streaming architectures, and the challenges that live streaming service providers face in delivering high-quality, real-time services. The different techniques used to improve the performance of video streaming, such as adaptive bit-rate streaming, multicast distribution, and edge computing are discussed and the necessity of low-latency and high-quality video transmission in cloud-based live streaming is underlined. Issues such as improving user experience and live streaming service performance using cutting-edge technology, like artificial intelligence and machine learning are discussed. In addition, the legal and regulatory implications of cloud-based live streaming, including issues with network neutrality, data privacy, and content moderation are addressed. The future of cloud computing for live streaming is examined in the section that follows, and it looks at the most likely new developments in terms of trends and technology. For technology vendors, live streaming service providers, and regulators, the findings have major policy-relevant implications. Suggestions on how stakeholders should address these concerns and take advantage of the potential presented by this rapidly evolving sector, as well as insights into the key challenges and opportunities associated with cloud-based live streaming are provided.</p>\",\"PeriodicalId\":46211,\"journal\":{\"name\":\"CAAI Transactions on Intelligence Technology\",\"volume\":\"9 2\",\"pages\":\"265-285\"},\"PeriodicalIF\":8.4000,\"publicationDate\":\"2024-03-14\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://onlinelibrary.wiley.com/doi/epdf/10.1049/cit2.12299\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"CAAI Transactions on Intelligence Technology\",\"FirstCategoryId\":\"94\",\"ListUrlMain\":\"https://onlinelibrary.wiley.com/doi/10.1049/cit2.12299\",\"RegionNum\":2,\"RegionCategory\":\"计算机科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"CAAI Transactions on Intelligence Technology","FirstCategoryId":"94","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1049/cit2.12299","RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE","Score":null,"Total":0}
引用次数: 0

摘要

云计算极大地改变了流媒体直播内容的传输和消费。本文研究了云计算在流媒体直播中的设计、挑战和可能用途。该书全面概述了与基于云的直播流相关的技术和业务问题,包括云计算的优势、各种直播流架构以及直播流服务提供商在提供高质量实时服务时面临的挑战。讨论了用于提高视频流性能的不同技术,如自适应比特率流、多播分发和边缘计算,并强调了在基于云的实时流中低延迟和高质量视频传输的必要性。还讨论了利用人工智能和机器学习等尖端技术改善用户体验和直播流媒体服务性能等问题。此外,还讨论了基于云的流媒体直播的法律和监管影响,包括网络中立、数据隐私和内容控制等问题。接下来的章节探讨了流媒体直播云计算的未来,并从趋势和技术的角度分析了最有可能出现的新发展。对于技术供应商、流媒体直播服务提供商和监管机构来说,研究结果具有重大的政策意义。本文就利益相关者应如何解决这些问题和利用这一快速发展的行业所带来的潜力提出了建议,并深入探讨了与基于云的流媒体直播相关的主要挑战和机遇。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

摘要图片

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Cloud-based video streaming services: Trends, challenges, and opportunities

Cloud computing has drastically changed the delivery and consumption of live streaming content. The designs, challenges, and possible uses of cloud computing for live streaming are studied. A comprehensive overview of the technical and business issues surrounding cloud-based live streaming is provided, including the benefits of cloud computing, the various live streaming architectures, and the challenges that live streaming service providers face in delivering high-quality, real-time services. The different techniques used to improve the performance of video streaming, such as adaptive bit-rate streaming, multicast distribution, and edge computing are discussed and the necessity of low-latency and high-quality video transmission in cloud-based live streaming is underlined. Issues such as improving user experience and live streaming service performance using cutting-edge technology, like artificial intelligence and machine learning are discussed. In addition, the legal and regulatory implications of cloud-based live streaming, including issues with network neutrality, data privacy, and content moderation are addressed. The future of cloud computing for live streaming is examined in the section that follows, and it looks at the most likely new developments in terms of trends and technology. For technology vendors, live streaming service providers, and regulators, the findings have major policy-relevant implications. Suggestions on how stakeholders should address these concerns and take advantage of the potential presented by this rapidly evolving sector, as well as insights into the key challenges and opportunities associated with cloud-based live streaming are provided.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
CAAI Transactions on Intelligence Technology
CAAI Transactions on Intelligence Technology COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE-
CiteScore
11.00
自引率
3.90%
发文量
134
审稿时长
35 weeks
期刊介绍: CAAI Transactions on Intelligence Technology is a leading venue for original research on the theoretical and experimental aspects of artificial intelligence technology. We are a fully open access journal co-published by the Institution of Engineering and Technology (IET) and the Chinese Association for Artificial Intelligence (CAAI) providing research which is openly accessible to read and share worldwide.
期刊最新文献
Guest Editorial: Knowledge-based deep learning system in bio-medicine Guest Editorial: Special issue on trustworthy machine learning for behavioural and social computing A fault-tolerant and scalable boosting method over vertically partitioned data Multi-objective interval type-2 fuzzy linear programming problem with vagueness in coefficient Prediction and optimisation of gasoline quality in petroleum refining: The use of machine learning model as a surrogate in optimisation framework
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1