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Advanced Computing for Green Internet of Things
Published in Bandana Mahapatra, Anand Nayyar, Green Internet of Things, 2023
Bandana Mahapatra, Anand Nayyar
The continuous raise in demand as well as usage of mobile device has given way to the mobile edge computing concept for devices showing low latency demand. The concept of Multi Access Edge Computing (MEC) offers advanced technologies like mobile computing, network congestion control and storage capacity to the edges of the networks. The MEC technology reduces the consumption of mobile energy as well as processes and supports even the critical applications suffering with latency. The popularity of MEC concept was facilitated by 5G technology that combined together both the wireless communication and the mobile computing in order to offload the network computation. The WSN mode is currently carrying out the requirement of sending data by indoor devices, at the front end of Wireless Mesh Sensor Networks (WMSNs). Here the edge devices are deployed to reduce the network congestion that can support the users to tailor their needs via MEC [6].
Securing Future Autonomous Applications Using Cyber-Physical Systems and the Internet of Things
Published in Amit Kumar Tyagi, Niladhuri Sreenath, Handbook of Research of Internet of Things and Cyber-Physical Systems, 2022
S. Sobana, S. Krishna Prabha, T. Seerangurayar, S. Sudha
Edge computing is the new upcoming technology using distributed and open architecture to enable decentralized processing power at the edge of network, closer to the source of data thereby improving performance of the existing data processing technologies such as IoT, cloud computing and mobile computing. The edge computing processes the data by the device itself or by a local server or by a local computer instead of using centralized data processing. Thus, edge computing is capable of supporting latency challenges such as data stream acceleration, i.e., real-time data processing, concentrating on effective utilization of user bandwidths, supporting all types of future network infrastructure. Thus, edge computing can be effectively used in remote locations with useful layer of security and privacy for sensitive data. For the development of IoT and 5G applications, edge computing uses some emerging technologies. They are multi-access edge computing (MEC) or mobile edge computing (MEC), cloudlets, fog computing, micro-data centers and cloud of things.
Evolving Variability Requirements of IoT Systems
Published in Ivan Mistrik, Matthias Galster, Bruce R. Maxim, Software Engineering for Variability Intensive Systems, 2019
Luis Chumpitaz, Andrei Furda, Seng Loke
Multi-access edge computing (MEC) is an ecosystem that enables information technology and cloud-computing capabilities at the edge of a radio access network (RAN). RAN is defined as the section of the network that is shared by all devices in an IoT network and that is closest to the end-user [35]. It provides an environment with low-latency, high-bandwidth and real-time access to radio and network analytics [59]. MEC is based on the idea of hosting applications on the network edge, assuming that this is the closest possible location to service consumers [18].
A novel variable neighborhood search for the offloading and resource allocation in Mobile-Edge Computing
Published in International Journal of Computers and Applications, 2022
Mohamed Younes Kaci, Malika Bessedik, Amina Lammari
To deal with the above-mentioned conflicting objectives, a new emerging concept known as ‘Multi-access Edge Computing’ (MEC), also called ‘Mobile Edge Computing’ has been introduced. The use of MEC technology enables the network to support more user equipment (UEs) and offer a better QoS to mobile device users. Therefore, MEC became a major key to 5G technology. It also represents a new paradigm that extends the capabilities of the remote centralized cloud to edge servers. Indeed, it moves the computing of traffic and services from a centralized cloud to the network edge and closer to the customer. Instead of sending all data to a cloud for processing, the network edge analyzes, processes, and stores the data, thus reducing latency and bringing real-time performance to high-bandwidth applications.