Roman99
2024-05-03, 07:41 PM
Xiao Ma, Mengwei Xu, Qing Li, "5G Edge Computing: Technologies, Applications and Future Visions"
English | 2024 | ISBN-13: 978-981-97-0212-1 | 209 pages | PDF+EPUB | 8.27 MB
Edge computing has been identified as one of the key technologies for 5G networks and beyond due to two prominent advantages: low network latency and reduced core network load. By empowering cloud capabilities and IT service environments at the network edge, edge computing can well support applications of 5G and beyond, such as augmented/virtual reality (AR/VR), vehicular network (ultra-reliable low-latency communication services), Internet of Things (massive machine type communication services), and mobile high-definition video (enhanced mobile broadband services). Therefore, edge computing has attracted the attention of both industry and academia since its emergence.
In specific, the book is important for the research community for the following four reasons. First, we present the first comprehensive measurement study on a leading public edge platform, and critical concerns on edge computing are studied in depth through passive-active integrated measurements (Chaps. 2–3). The dataset is open-sourced, which will benefit researchers and practitioners of edge computing and cloud computing significantly. Second, following the measurement results, several key technologies of 5G edge computing are investigated to improve the quality of experience for end users, and optimize the system performance/minimize system cost for edge service providers (Chaps. 4–7). Third, this book explores the integration of edge computing with 5G networks. We implement an end-to-end edge computing system following the 5G standard 3GPP TS 23.501, which supports edge functions such as edge service migration (Chap. 8). Fourth, this book discusses visions of edge computing in the future 6G networks and presents our pioneering exploration (both research and practice) toward edge computing in the 6G era (Chap. 9).
https://turbobita.net/ohbw0itzl7rh.html
English | 2024 | ISBN-13: 978-981-97-0212-1 | 209 pages | PDF+EPUB | 8.27 MB
Edge computing has been identified as one of the key technologies for 5G networks and beyond due to two prominent advantages: low network latency and reduced core network load. By empowering cloud capabilities and IT service environments at the network edge, edge computing can well support applications of 5G and beyond, such as augmented/virtual reality (AR/VR), vehicular network (ultra-reliable low-latency communication services), Internet of Things (massive machine type communication services), and mobile high-definition video (enhanced mobile broadband services). Therefore, edge computing has attracted the attention of both industry and academia since its emergence.
In specific, the book is important for the research community for the following four reasons. First, we present the first comprehensive measurement study on a leading public edge platform, and critical concerns on edge computing are studied in depth through passive-active integrated measurements (Chaps. 2–3). The dataset is open-sourced, which will benefit researchers and practitioners of edge computing and cloud computing significantly. Second, following the measurement results, several key technologies of 5G edge computing are investigated to improve the quality of experience for end users, and optimize the system performance/minimize system cost for edge service providers (Chaps. 4–7). Third, this book explores the integration of edge computing with 5G networks. We implement an end-to-end edge computing system following the 5G standard 3GPP TS 23.501, which supports edge functions such as edge service migration (Chap. 8). Fourth, this book discusses visions of edge computing in the future 6G networks and presents our pioneering exploration (both research and practice) toward edge computing in the 6G era (Chap. 9).
https://turbobita.net/ohbw0itzl7rh.html