Recent advances on intelligent mobility and edge computing

• Main Authors: Shao, Xun, Liu, Zhi, Chen, Xianfu, Loke, Seng W., TAN, Hwee-pink
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2021
• Subjects: Software Engineering
• Online Access: https://ink.library.smu.edu.sg/sis_research/7173; https://ink.library.smu.edu.sg/context/sis_research/article/8176/viewcontent/Shao2021_EditorialRecentAdvancesIntelligentMob_pvoa.pdf
• Institution: Singapore Management University

In recent years, we have seen fast development of wireless communications, networking, and cloud computing: 4G, 5G and multiaccess networks greatly enhance the quality of service (QoS) of wireless access networks; software-defined networking, network function virtualization, and information-centric networking largely reduce the cost of network service providers and improve the quality of experience (QoE) of end-users; the development of mobile devices and mobile cloud computing lead to explosive deployment of mobile services and applications; the recent development of advanced algorithms such as Deep Learning has shown great potential in resource allocation and service orchestration. Deep integration of the above technologies provides a large number of opportunities for realizing the future mobile computing systems. On the other hand, to realize an efficient and sustainable ecosystem, many challenges exist. The challenges lie in a wide range, including devices technologies, communications and networking technologies, cloud and edge computing technologies, energy harvesting technologies, and incentive and marketing mechanisms. Among the above-mentioned research directions, this special issue puts special focus on IoT and mobile edge computing (MEC), which is an essential component of the upcoming 5G architecture, and of fundamental importance to the future mobile computing systems. This special issue features six selected papers with high quality.