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Content Delivery Networks: State of the Art, Trends, and Future Roadmap

机译：内容交付网络：艺术状态，趋势和未来的路线图

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摘要

Recently, Content Delivery Networks (CDN) have become more and more popular. The technology itself is ahead of academic research in this area. Several dimensions of the technology have not been adequately investigated by academia. These dimensions include outline management, security, and standardization. Discovering and highlighting aspects of this technology that may have or have not been covered by academic research is the first step toward helping academia bridge the gap with industry or even go one step further to lead industry in the right direction. This suggests a comprehensive survey on research works in this regard. The literature in this area has already come up with some surveys and taxonomies, but some of them are outdated or do not cover every aspect of CDN while others fail to detect existing trends or to develop a holistic roadmap for research on the technology. Furthermore, none of the existing surveys aim at enlightening the dark aspects of the technology that have not been subject to academic research. In this survey, we first extract the lifecycle of a CDN as suggested by the existing research. Then, we investigate previous relevant works on each phase of the lifecycle to clarify where the research is currently located and headed. We show how CDN technology tends to converge with emerging paradigms such as cloud computing, edge computing, and machine learning, which are more mature in terms of academic research. This helps us determine the right direction for further research by revealing the deficiencies in existing works.
机译：最近，内容交付网络（CDN）变得越来越受欢迎。该技术本身在该地区的学术研究之前。学术界未得到充分调查该技术的几个维度。这些尺寸包括大纲管理，安全性和标准化。在学术研究中发现和突出显示这项技术的各个方面是帮助学术界的第一步，帮助学术界与行业的差距或甚至进一步走向正确的方向。这表明对这方面的研究工作综合调查。该地区的文献已经提出了一些调查和分类，但其中一些已经过时或不包括CDN的每个方面，而其他人则无法检测到现有趋势或开发用于技术研究的整体路线图。此外，现有的调查均目的旨在启发出尚未受到学术研究的技术的黑暗面面。在本调查中，我们首先提取了现有研究所建议的CDN的生命周期。然后，我们调查以前的相关工程，以澄清研究目前和领导的研究。我们展示了CDN技术如何倾向于与新兴范式汇聚，如云计算，边缘计算和机器学习，在学术研究方面更加成熟。这有助于我们通过揭示现有工作的缺陷来确定进一步研究的正确方向。

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  • 来源
    《ACM Computing Surveys》 |2021年第2期|34.1-34.34|共34页
  • 作者

    Zolfaghari Behrouz; Srivastava Gautam; Roy Swapnoneel; Nemati Hamid R.; Afghah Fatemeh; Koshiba Takeshi; Razi Abolfazl; Bibak Khodakhast; Mitra Pinaki; Rai Brijesh Kumar;

  • 作者单位

    Indian Inst Technol Guwahati Surjyamukhi Rd Gauhati 781039 Assam India;

    Brandon Univ Fac Sci Math & Comp Sci 270 18th St Brandon MB R7A 6A9 Canada;

    Univ North Florida 1 UNF Dr Jacksonville FL 32224 USA;

    Univ N Carolina 1400 Spring Garden St Greensboro NC 27412 USA;

    No Arizona Univ Sch Informat Comp & Cyber Syst 1899 S San Francisco St Flagstaff AZ 86011 USA;

    Waseda Univ 1 Chome 104 Totsukamachi Shinjuku City Tokyo 1698050 Japan;

    No Arizona Univ 1899 S San Francisco St Flagstaff AZ 86011 USA;

    Miami Univ 501 E High St Oxford OH 45056 USA;

    Indian Inst Technol Guwahati Surjyamukhi Rd Gauhati 781039 Assam India;

    Indian Inst Technol Guwahati Surjyamukhi Rd Gauhati 781039 Assam India;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Content delivery network; survey; trend;

    机译：内容交付网络;调查;趋势;

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