Fog Computing Algorithms: A Survey and Research Opportunities

IF 0.5 Q4 COMPUTER SCIENCE, THEORY & METHODS
Shaifali P. Malukani, C. Bhensdadia
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引用次数: 1

Abstract

Abstract The classic Internet of Things-Cloud Computing model faces challenges like high response latency, high bandwidth consumption, and high storage requirement with increasing velocity and volume of generated data. Fog computing offers better services to end users by bringing processing, storage, and networking closer to them. Recently, there has been significant research addressing architectural and algorithmic aspects of fog computing. In the existing literature, a systematic study of architectural designs is widely conducted for various applications. Algorithms are seldom examined. Algorithms play a crucial role in fog computing. This survey aims to performing a comparative study of existing algorithms. The study also presents a systematic classification of the current fog computing algorithms and highlights the key challenges and research issues associated with them.
雾计算算法:调查与研究机会
随着生成数据的速度和数量的增加,经典的物联网-云计算模型面临着高响应延迟、高带宽消耗和高存储需求等挑战。雾计算通过拉近处理、存储和网络距离,为最终用户提供更好的服务。最近,针对雾计算的架构和算法方面进行了大量的研究。在现有文献中,对建筑设计的系统研究被广泛地用于各种应用。算法很少被检查。算法在雾计算中起着至关重要的作用。本调查旨在对现有算法进行比较研究。该研究还对当前雾计算算法进行了系统分类,并强调了与之相关的关键挑战和研究问题。
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
Applied Computer Systems
Applied Computer Systems COMPUTER SCIENCE, THEORY & METHODS-
自引率
10.00%
发文量
9
审稿时长
30 weeks
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