首页    期刊浏览 2024年12月12日 星期四
登录注册

文章基本信息

  • 标题:Energy-Efficient and Secure Load Balancing Technique for SDN-Enabled Fog Computing
  • 本地全文:下载
  • 作者:Singh, Jagdeep ; Singh, Parminder ; Amhoud, El Mehdi
  • 期刊名称:Sustainability
  • 印刷版ISSN:2071-1050
  • 出版年度:2022
  • 卷号:14
  • 期号:19
  • 页码:1-22
  • DOI:10.3390/su141912951
  • 语种:English
  • 出版社:MDPI, Open Access Journal
  • 摘要:The number of client applications on the fog computing layer is increasing due to advancements in the Internet of Things (IoT) paradigm. Fog computing plays a significant role in reducing latency and enhancing resource usage for IoT users’ tasks. Along with its various benefits, fog computing also faces several challenges, including challenges related to resource overloading, security, node placement, scheduling, and energy consumption. In fog computing, load balancing is a difficult challenge due to the increased number of IoT devices and requests, which requires an equal load distribution throughout all available resources. In this study, we proposed a secure and energy-aware fog computing architecture, and we implemented a load-balancing technique to improve the complete utilization of resources with an SDN-enabled fog environment. A deep belief network (DBN)-based intrusion detection method was also implemented as part of the proposed techniques to reduce workload communication delays in the fog layer. The simulation findings showed that the proposed technique provided an efficient method of load balancing in a fog environment, minimizing the average response time, average energy consumption, and communication delay by 15%, 23%, and 10%, respectively, as compared with other existing techniques.
  • 关键词:fog computing; load balancing; software defined network; resource management; intrusion detection
国家哲学社会科学文献中心版权所有