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Mobile Edge Computing by Anwesha Mukherjee     КНИГИ » СЕТЕВЫЕ ТЕХНОЛОГИИ

Mobile Edge Computing by Anwesha MukherjeeНазвание: Mobile Edge Computing
Автор: Anwesha Mukherjee, Debashis De
Издательство: Springer
Год: 2021
Страниц: 598
Язык: английский
Формат: pdf (true)
Размер: 14.7 MB

Mobile Edge Computing (MEC) provides cloud-like subscription-oriented services at the edge of mobile network. For low latency and high bandwidth services, edge computing assisted IoT (Internet of Things) has become the pillar for the development of smart environments and their applications such as smart home, smart health, smart traffic management, smart agriculture, and smart city. This book covers the fundamental concept of the MEC and its real-time applications. The book content is organized into three parts: Part A covers the architecture and working model of MEC, Part B focuses on the systems, platforms, services and issues of MEC, and Part C emphases on various applications of MEC.

Fifth generation mobile networks aim to use multi-tier heterogeneous cellular networks integrated with cloud computing to provide users with low latency and energy-aware service. However, for high bandwidth and low latency services, edge/fog computing comes into the scenario. In edge/fog computing, the intermediate devices between end users and cloud participate in processing and storage of data as well as execution of applications. Mobile edge computing provides cloud computing services at the edge of mobile network, which facilitates the developers, service providers as well as the users. Internet of Things (IoT) has become a principle component to design smart technological solutions for our daily life. For low latency and high bandwidth services, edge computing assisted IoT has become the pillar for the development of smart home, smart health etc.

MEC is a principle component for fifth generation (5G) network. As MEC is located close to the mobile users and within the Radio Access Network (RAN), low latency and high bandwidth access can be provided [4]. Hence, the QoS is improved. Moreover, service deployment and caching at the edge of the network helps to efficiently handle user requests and minimize congestion. In mobile edge computing computations are performed at the edge of the network, which helps to minimize the latency.

The MEC can be partitioned into three management systems (MS): (i) hosting infrastructure, (ii) application platform, and (iii) application. The first one contains a virtualization manager and virtualization layer. The second one offers traffic control, service registry, communication services and RAN information services. The third one serves as a virtualized machine for applications. Before getting deeper into the architecture of MEC, we will discuss few models closely related to MEC.

This book is targeted for graduate students, researchers, developers, and service providers interested in learning about the state-of-the-art in MEC technologies, innovative applications, and future research directions.

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