ERAM-EE: Efficient resource allocation and management strategies with energy efficiency under fog–internet of things environments

IF 3.2 4区计算机科学 Q2 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Connection Science Pub Date : 2024-05-06 DOI:10.1080/09540091.2024.2350755

Prakasam Periasamy, R. Ujwala, K. Srikar, Y.V. Durga Sai, K.S. Preetha, D. Sumathi, Md. Shohel Sayeed

引用次数: 0

Abstract

Due to technological advancements, most devices are generating a significant amount of data which needs appropriate technology to handle the data generated by IoT devices. Fog computing addresses t...

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ERAM-EE：雾-物联网环境下具有能源效率的高效资源分配和管理策略

由于技术的进步，大多数设备都在产生大量数据，这就需要适当的技术来处理物联网设备产生的数据。雾计算解决了这一问题。

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

Connection Science 工程技术-计算机：理论方法

CiteScore

6.50

自引率

39.60%

发文量

审稿时长

3 months

期刊介绍： Connection Science is an interdisciplinary journal dedicated to exploring the convergence of the analytic and synthetic sciences, including neuroscience, computational modelling, artificial intelligence, machine learning, deep learning, Database, Big Data, quantum computing, Blockchain, Zero-Knowledge, Internet of Things, Cybersecurity, and parallel and distributed computing. A strong focus is on the articles arising from connectionist, probabilistic, dynamical, or evolutionary approaches in aspects of Computer Science, applied applications, and systems-level computational subjects that seek to understand models in science and engineering.