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20142026
most citedEdge Intelligence: The Confluence of Edge Computing and Artificial Intelligence

1.2k citations · 3.6k across the 100 of their papers we have counts for

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Showing 2022Show all

12 papers · 1 filter

cs.DC2022★ 2 cited

FileDAG: A Multi-Version Decentralized Storage Network Built on DAG-based Blockchain

Hechuan Guo, Minghui Xu, Jiahao Zhang +4

Decentralized Storage Networks (DSNs) can gather storage resources from mutually untrusted providers and form worldwide decentralized file systems. Compared to traditional storage…

cs.DC2022★ 260 cited

AI-based Fog and Edge Computing: A Systematic Review, Taxonomy and Future Directions

Sundas Iftikhar, Sukhpal Singh Gill, Chenghao Song +15

Resource management in computing is a very challenging problem that involves making sequential decisions. Resource limitations, resource heterogeneity, dynamic and diverse nature o…

cs.AI2022★ 290 cited

Intelligent Computing: The Latest Advances, Challenges and Future

Shiqiang Zhu, Ting Yu, Tao Xu +18

Computing is a critical driving force in the development of human civilization. In recent years, we have witnessed the emergence of intelligent computing, a new computing paradigm…

cs.MM2022★ 4 cited

Multi-Player Immersive Communications and Interactions in Metaverse: Challenges, Architecture, and Future Directions

Yakun Huang, Xiuquan Qiao, Haowen Wang +3

The metaverse has awakened users' expectations of an immersive interaction that fuses the virtual digital world and the physical world across space and time. However, the metaverse…

cs.MM2022★ 3 cited

Towards Holographic Video Communications: A Promising AI-driven Solution

Yakun Huang, Yuanwei Zhu, Xiuquan Qiao +3

Real-time holographic video communications enable immersive experiences for next-generation video services in the future metaverse era. However, high-fidelity holographic videos re…

cs.NI2022★ 22 cited

From Earth to Space: A First Deployment of 5G Core Network on Satellite

Ruolin Xing, Xiao Ma, Ao Zhou +2

Recent developments in the aerospace industry have led to a dramatic reduction in the manufacturing and launch costs of low Earth orbit satellites. The new trend enables the paradi…

cs.DC2022★ 1 cited

The Confluence of Blockchain and 6G Network: Scenarios Analysis and Performance Assessment

Bo Li, Shuiguang Deng, Xueqiang Yan +1

Emerging advanced applications, such as smart cities, healthcare, and virtual reality, demand more challenging requirements on sixth-generation (6G) mobile networks, including the…

cs.NI2022

6G Network AI Architecture for Everyone-Centric Customized Services

Yang Yang, Mulei Ma, Hequan Wu +51

Mobile communication standards were developed for enhancing transmission and network performance by using more radio resources and improving spectrum and energy efficiency. How to…

cs.MA2022★ 21 cited

Autonomy and Intelligence in the Computing Continuum: Challenges, Enablers, and Future Directions for Orchestration

Henna Kokkonen, Lauri Lovén, Naser Hossein Motlagh +15

Future AI applications require performance, reliability and privacy that the existing, cloud-dependant system architectures cannot provide. In this article, we study orchestration…

cs.LG2022★ 1 cited

Multi-Component Optimization and Efficient Deployment of Neural-Networks on Resource-Constrained IoT Hardware

Bharath Sudharsan, Dineshkumar Sundaram, Pankesh Patel +5

The majority of IoT devices like smartwatches, smart plugs, HVAC controllers, etc., are powered by hardware with a constrained specification (low memory, clock speed and processor)…

cs.DC2022★ 1 cited

Learning to Schedule Multi-Server Jobs with Fluctuated Processing Speeds

Hailiang Zhao, Shuiguang Deng, Feiyi Chen +3

Multi-server jobs are imperative in modern cloud computing systems. A noteworthy feature of multi-server jobs is that, they usually request multiple computing devices simultaneousl…

cs.DC2022★ 681 cited

AI for Next Generation Computing: Emerging Trends and Future Directions

Sukhpal Singh Gill, Minxian Xu, Carlo Ottaviani +19

Autonomic computing investigates how systems can achieve (user) specified control outcomes on their own, without the intervention of a human operator. Autonomic computing fundament…