Abstract
Edge computing is an emerging concept based on distributed computing, storage, and control services closer to end network nodes. Edge computing lies at the heart of the fifth-generation (5G) wireless systems and beyond. While the current state-of-the-art networks communicate, compute, and process data in a centralized manner (at the cloud), for latency and compute-centric applications, both radio access and computational resources must be brought closer to the edge, harnessing the availability of computing and storage-enabled small cell base stations in proximity to the end devices. Furthermore, the network infrastructure must enable a distributed edge decision-making service that learns to adapt to the network dynamics with minimal latency and optimize network deployment and operation accordingly. This paper will provide a fresh look to the concept of edge computing by first discussing the applications that the network edge must provide, with a special emphasis on the ensuing challenges in enabling ultrareliable and low-latency edge computing services for mission-critical applications such as virtual reality (VR), vehicle-to-everything (V2X), edge artificial intelligence (AI), and so on. Furthermore, several case studies where the edge is key are explored followed by insights and prospect for future work.
| Original language | English |
|---|---|
| Journal | Proceedings of the IEEE |
| DOIs | |
| Publication status | E-pub ahead of print - 11 Jun 2019 |
| MoE publication type | A1 Journal article-refereed |
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Keywords
- Decision making
- Edge computing
- edge intelligence
- Mission critical systems
- Reliability
- Servers
- Task analysis
- URLLC
- vehicle-to-everything
- virtual reality.
- Wireless communication
Cite this
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Wireless Edge Computing With Latency and Reliability Guarantees. / Elbamby, Mohammed S.; Perfecto, Cristina; Liu, Chen Feng; Park, Jihong; Samarakoon, Sumudu; Chen, Xianfu; Bennis, Mehdi.
In: Proceedings of the IEEE, 11.06.2019.Research output: Contribution to journal › Article › Scientific › peer-review
TY - JOUR
T1 - Wireless Edge Computing With Latency and Reliability Guarantees
AU - Elbamby, Mohammed S.
AU - Perfecto, Cristina
AU - Liu, Chen Feng
AU - Park, Jihong
AU - Samarakoon, Sumudu
AU - Chen, Xianfu
AU - Bennis, Mehdi
PY - 2019/6/11
Y1 - 2019/6/11
N2 - Edge computing is an emerging concept based on distributed computing, storage, and control services closer to end network nodes. Edge computing lies at the heart of the fifth-generation (5G) wireless systems and beyond. While the current state-of-the-art networks communicate, compute, and process data in a centralized manner (at the cloud), for latency and compute-centric applications, both radio access and computational resources must be brought closer to the edge, harnessing the availability of computing and storage-enabled small cell base stations in proximity to the end devices. Furthermore, the network infrastructure must enable a distributed edge decision-making service that learns to adapt to the network dynamics with minimal latency and optimize network deployment and operation accordingly. This paper will provide a fresh look to the concept of edge computing by first discussing the applications that the network edge must provide, with a special emphasis on the ensuing challenges in enabling ultrareliable and low-latency edge computing services for mission-critical applications such as virtual reality (VR), vehicle-to-everything (V2X), edge artificial intelligence (AI), and so on. Furthermore, several case studies where the edge is key are explored followed by insights and prospect for future work.
AB - Edge computing is an emerging concept based on distributed computing, storage, and control services closer to end network nodes. Edge computing lies at the heart of the fifth-generation (5G) wireless systems and beyond. While the current state-of-the-art networks communicate, compute, and process data in a centralized manner (at the cloud), for latency and compute-centric applications, both radio access and computational resources must be brought closer to the edge, harnessing the availability of computing and storage-enabled small cell base stations in proximity to the end devices. Furthermore, the network infrastructure must enable a distributed edge decision-making service that learns to adapt to the network dynamics with minimal latency and optimize network deployment and operation accordingly. This paper will provide a fresh look to the concept of edge computing by first discussing the applications that the network edge must provide, with a special emphasis on the ensuing challenges in enabling ultrareliable and low-latency edge computing services for mission-critical applications such as virtual reality (VR), vehicle-to-everything (V2X), edge artificial intelligence (AI), and so on. Furthermore, several case studies where the edge is key are explored followed by insights and prospect for future work.
KW - Decision making
KW - Edge computing
KW - edge intelligence
KW - Mission critical systems
KW - Reliability
KW - Servers
KW - Task analysis
KW - URLLC
KW - vehicle-to-everything
KW - virtual reality.
KW - Wireless communication
UR - http://www.scopus.com/inward/record.url?scp=85067606386&partnerID=8YFLogxK
U2 - 10.1109/JPROC.2019.2917084
DO - 10.1109/JPROC.2019.2917084
M3 - Article
AN - SCOPUS:85067606386
JO - Proceedings of the IEEE
JF - Proceedings of the IEEE
SN - 0018-9219
ER -