A-BEE-C: Autonomous Bandwidth-Efficient Edge Codecast

IF 3 3区计算机科学 Q2 COMPUTER SCIENCE, INFORMATION SYSTEMS

Pervasive and Mobile Computing Pub Date : 2025-06-04 DOI:10.1016/j.pmcj.2025.102075

Gyujeong Lim , Joon-Min Gil , Heonchang Yu

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引用次数: 0

Abstract

Edge computing is a new paradigm in cloud infrastructure that decentralizes computing and storage, bringing data and services closer to the users. This proximity allows users to access high quality or large sized data with lower latency. However, edge servers typically have fewer resources than cloud servers, necessitating efficient resource management. Emerging research focuses on increasing the cache hit rate of user requests to edge servers, which reduces response latency and improves efficiency. Nonetheless, if available bandwidth is not considered, it becomes challenging to maintain both speed and quality in edge environments. This paper proposes an Autonomous Bandwidth-Efficient Edge Codecast (A-BEE-C) method to enhance the effective bandwidth per device within an edge service area. Codecast, introduced in this paper, is a transmission method that encodes multiple files into a single file before sending it to users. A-BEE-C introduces a dynamic mechanism that switches between unicast and codecast modes based on real-time bandwidth assessment. Our proposed method increases the effective bandwidth per device by encoding multiple user requests into a single coded transmission when the bandwidth of the edge server is limited. Experimental results demonstrate that A-BEE-C reduces average latency per device by up to 9.89% (and up to 18.45% with Zipf pattern data) and increases effective bandwidth per user by up to 10.15% (up to 18.11% with Zipf pattern).

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A-BEE-C：自主带宽高效边缘编解码器

边缘计算是云基础设施中的一种新模式，它分散了计算和存储，使数据和服务更接近用户。这种接近性允许用户以更低的延迟访问高质量或大容量的数据。但是，边缘服务器通常比云服务器拥有更少的资源，因此需要有效的资源管理。新兴研究的重点是提高用户请求到边缘服务器的缓存命中率，从而减少响应延迟并提高效率。尽管如此，如果不考虑可用带宽，那么在边缘环境中保持速度和质量就变得具有挑战性。本文提出了一种自主带宽高效边缘编播（A-BEE-C）方法，以提高边缘服务区内每个设备的有效带宽。本文介绍的编解码是一种将多个文件编码成一个文件再发送给用户的传输方法。a - bee - c引入了一种基于实时带宽评估在单播和编播模式之间切换的动态机制。该方法在边缘服务器带宽有限的情况下，通过将多个用户请求编码为单个编码传输，提高了每个设备的有效带宽。实验结果表明，A-BEE-C将每个设备的平均延迟减少了9.89% (Zipf模式数据最多减少18.45%)，并将每个用户的有效带宽增加了10.15% （Zipf模式数据最多减少18.11%）。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Pervasive and Mobile Computing COMPUTER SCIENCE, INFORMATION SYSTEMS-TELECOMMUNICATIONS

CiteScore

7.70

自引率

2.30%

发文量

审稿时长

68 days

期刊介绍： As envisioned by Mark Weiser as early as 1991, pervasive computing systems and services have truly become integral parts of our daily lives. Tremendous developments in a multitude of technologies ranging from personalized and embedded smart devices (e.g., smartphones, sensors, wearables, IoTs, etc.) to ubiquitous connectivity, via a variety of wireless mobile communications and cognitive networking infrastructures, to advanced computing techniques (including edge, fog and cloud) and user-friendly middleware services and platforms have significantly contributed to the unprecedented advances in pervasive and mobile computing. Cutting-edge applications and paradigms have evolved, such as cyber-physical systems and smart environments (e.g., smart city, smart energy, smart transportation, smart healthcare, etc.) that also involve human in the loop through social interactions and participatory and/or mobile crowd sensing, for example. The goal of pervasive computing systems is to improve human experience and quality of life, without explicit awareness of the underlying communications and computing technologies. The Pervasive and Mobile Computing Journal (PMC) is a high-impact, peer-reviewed technical journal that publishes high-quality scientific articles spanning theory and practice, and covering all aspects of pervasive and mobile computing and systems.