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20222024
most citedAI for Next Generation Computing: Emerging Trends and Future Directions

681 citations · 1.3k across the 6 of their papers we have counts for

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6 papers · 1 filter

cs.DC2024★ 7 cited

Computing: Looking Back and Moving Forward

Muhammed Golec, Sukhpal Singh Gill

The Internet and computer commercialization have transformed the computing systems area over the past sixty years, affecting society. Computer systems have evolved to meet diverse…

cs.DC2024★ 195 cited

Edge AI: A Taxonomy, Systematic Review and Future Directions

Sukhpal Singh Gill, Muhammed Golec, Jianmin Hu +12

Edge Artificial Intelligence (AI) incorporates a network of interconnected systems and devices that receive, cache, process, and analyze data in close communication with the locati…

cs.DC2023★ 44 cited

EdgeAISim: A Toolkit for Simulation and Modelling of AI Models in Edge Computing Environments

Aadharsh Roshan Nandhakumar, Ayush Baranwal, Priyanshukumar Choudhary +2

To meet next-generation IoT application demands, edge computing moves processing power and storage closer to the network edge to minimise latency and bandwidth utilisation. Edge co…

cs.DC2023★ 69 cited

Cold Start Latency in Serverless Computing: A Systematic Review, Taxonomy, and Future Directions

Muhammed Golec, Guneet Kaur Walia, Mohit Kumar +3

Recently, academics and the corporate sector have paid attention to serverless computing, which enables dynamic scalability and an economic model. In serverless computing, users on…

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…