Название: Computing at the EDGE: New Challenges for Service Provision
Автор: Georgios Karakonstantis, Charles J. Gillan
Издательство: Springer
Год: 2022
Страниц: 220
Язык: английский
Формат: pdf (true), epub
Размер: 33.9 MB
This book describes solutions to the problems of energy efficiency, resiliency and cyber security in the domain of Edge Computing and reports on early deployments of the technology in commercial settings. This book takes a business focused view, relating the technological outcomes to new business opportunities made possible by the edge paradigm. Drawing on the experience of end user deploying prototype edge technology, the authors discuss applications in financial management, wireless management, and social networks. Given the relative geographical remoteness of the traditional cloud data centre in the IoT environment, the seemingly obvious first step is to try to move the computing closer to the data source in order to overcome issues of latency. This is known as edge computing, meaning that significant amounts of processing, but not necessarily all of it, take place close to where the data is collected. Edge computing is in essence a model or a concept.
Автор: Georgios Karakonstantis, Charles J. Gillan
Издательство: Springer
Год: 2022
Страниц: 220
Язык: английский
Формат: pdf (true), epub
Размер: 33.9 MB
This book describes solutions to the problems of energy efficiency, resiliency and cyber security in the domain of Edge Computing and reports on early deployments of the technology in commercial settings. This book takes a business focused view, relating the technological outcomes to new business opportunities made possible by the edge paradigm. Drawing on the experience of end user deploying prototype edge technology, the authors discuss applications in financial management, wireless management, and social networks. Given the relative geographical remoteness of the traditional cloud data centre in the IoT environment, the seemingly obvious first step is to try to move the computing closer to the data source in order to overcome issues of latency. This is known as edge computing, meaning that significant amounts of processing, but not necessarily all of it, take place close to where the data is collected. Edge computing is in essence a model or a concept.