作者
Shahrukh Khan Kasi, Mumraiz Khan Kasi, Kamran Ali, Mohsin Raza, Hifza Afzal, Aboubaker Lasebae, Bushra Naeem, Saif Ul Islam, Joel JPC Rodrigues
发表日期
2020/12/1
期刊
IEEE Internet of Things Journal
卷号
8
期号
13
页码范围
10308-10317
出版商
IEEE
简介
Rapid developments in industry 4.0, machine learning, and digital twins have introduced new latency, reliability, and processing restrictions in Industrial Internet of Things (IIoT) and mobile devices. However, using current information and communications technology (ICT), it is difficult to optimally provide services that require high computing power and low latency. To meet these requirements, mobile-edge computing is emerging as a ubiquitous computing paradigm that enables the use of network infrastructure components such as cluster heads/sink nodes in IIoT and cellular network base stations to provide local data storage and computation servers at the edge of the network. However, optimal location selection for edge servers within a network out of a very large number of possibilities, such as to balance workload and minimize access delay, is a challenging problem. In this article, the edge server placement …
引用总数
学术搜索中的文章
SK Kasi, MK Kasi, K Ali, M Raza, H Afzal, A Lasebae… - IEEE Internet of Things Journal, 2020