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20212025
most citedAI for Next Generation Computing: Emerging Trends and Future Directions

681 citations · 1.6k across the 7 of their papers we have counts for

collaborators

7 papers

cs.LG2025

A Game-Theoretic Spatio-Temporal Reinforcement Learning Framework for Collaborative Public Resource Allocation

Songxin Lei, Qiongyan Wang, Yanchen Zhu +6

Public resource allocation involves distributing resources, including urban infrastructure, energy, and transportation, which are typically limited in capacity, to meet social dema…

cs.LG2025★ 1 cited

DP-LET: An Efficient Spatio-Temporal Network Traffic Prediction Framework

Xintong Wang, Haihan Nan, Ruidong Li +1

Accurately predicting spatio-temporal network traffic is essential for dynamically managing computing resources in modern communication systems and minimizing energy consumption. A…

cs.CY2023★ 488 cited

Transformative Effects of ChatGPT on Modern Education: Emerging Era of AI Chatbots

Sukhpal Singh Gill, Minxian Xu, Panos Patros +18

ChatGPT, an AI-based chatbot, was released to provide coherent and useful replies based on analysis of large volumes of data. In this article, leading scientists, researchers and e…

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.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…

cs.DC2022★ 133 cited

EsDNN: Deep Neural Network based Multivariate Workload Prediction Approach in Cloud Environment

Minxian Xu, Chenghao Song, Huaming Wu +3

Cloud computing has been regarded as a successful paradigm for IT industry by providing benefits for both service providers and customers. In spite of the advantages, cloud computi…

cs.DC2021★ 1 cited

PDMA: Probabilistic Service Migration Approach for Delay-aware and Mobility-aware Mobile Edge Computing

Minxian Xu, Qiheng Zhou, Huaming Wu +3

As a key technology in the 5G era, Mobile Edge Computing (MEC) has developed rapidly in recent years. MEC aims to reduce the service delay of mobile users, while alleviating the pr…