Multi-access edge computing enabled internet of things: advances and novel applications
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EDITORIAL
Multi-access edge computing enabled internet of things: advances and novel applications Rongbo Zhu1 • Lu Liu2 • Houbing Song3 • Maode Ma4
Ó Springer-Verlag London Ltd., part of Springer Nature 2020
Abstract Multi-access edge computing (MEC) is emerging as a new and promising methodology with the development of Internet of Things (IoT) and smart devices, which enables a large class of applications and has emerged with a significance to change our life, and also is raising the challenging research issues due to the requirements of low latency, deployment independence, location awareness and mobility support. However, recent advances on distributed artificial intelligence (AI), big data, and edge/terminal cooperation schemes show that IoT still struggles with fundamental, long-standing problems, such as computational models, resource allocation and scheduling, power efficient data processing and cooperative decisionmaking mechanisms in edge. How to enhance IoT with MEC, distributed AI, cooperation and novel applications is worth exploring. The objective of this special issue is to report high-quality state-of-the-art research contributions that address these key aspects of MEC-enabled IoT and novel applications. By presenting a selection of papers on various topics related to MEC-enabled IoT, we hope to shed light on the multiple aspects of this emerging paradigm. The papers included in this issue propose solutions for resource management and allocation, multimedia processing, as well as novel applications. Keywords Internet of things Multi-access edge computing Novel applications
1 Introduction With the rapid growth of communication-intensive mobile applications, smart cities and Internet of Things (IoT) are raising the challenging research issues due to the requirements of low latency, deployment independence, location awareness and mobility support [1]. We need better
& Rongbo Zhu [email protected] Lu Liu [email protected] Houbing Song [email protected] Maode Ma [email protected] 1
South-Central University for Nationalities, Wuhan, China
2
University of Leicester, Leicester, UK
3
Embry-Riddle Aeronautical University, Daytona Beach, FL, USA
4
Nanyang Technological University, Singapore, Singapore
computing power and service capabilities to make the IoT intelligent and optimize cloud-edge-terminal ecosystem for tackling network bottleneck. Multi-access edge computing (MEC) offers application developers and content providers cloud-computing capabilities and an information technology (IT) service environment at the edge of the network [2, 3], and a new ecosystem and value chain are provided by MEC enabled IoT, which allows operator to flexibly and rapidly deploy innovative applications and intelligent services towards mobile subscribers, enterprises and vertical segments [4]. Despite numerous benefits from MEC, there are still some challenges in MEC-enabled IoT. MEC-enabled IoT integrates and merges multidiscipline. Considering that MEC
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