Gill, Sukhpal Singh
Queen Mary University of London
45 papers on CoChatORCID 0000-0002-3913-0369
Most cited papers
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Tractor: traffic-aware and power-efficient virtual machine placement in edge-cloud data centers using artificial bee colony optimization
Nabavi, S. S., Gill, S. S., Xu, M., Masdari, M., & Garraghan, P. (2022) · International Journal of Communication Systems
Cloud Computing and Resource ManagementEnergy Efficiency in Computing
Cited by 35
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EFFORT: Energy efficient framework for offload communication in mobile cloud computing
Malik, S. U. R., Akram, H., Gill, S. S., Pervaiz, H., & Malik, H. (2021) · Software: Practice and Experience
Green IT and SustainabilityIoT and Edge/Fog Computing
Cited by 33
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Q-Module-Bot: A Generative AI-Based Question and Answer Bot for Module Teaching Support
Allen, M., Naeem, U., & Gill, S. S. (2024) · IEEE Transactions on Education
Artificial Intelligence in EducationIntelligent Tutoring Systems and Adaptive Learning
Cited by 33
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Iotpulse: machine learning-based enterprise health information system to predict alcohol addiction in Punjab (India) using iot and fog computing
Dhillon, A., Singh, A., Vohra, H., Ellis, C., Varghese, B., & Gill, S. S. (2022) · Enterprise Information Systems
IoT and Edge/Fog ComputingInternet of Things and AI
Cited by 32
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FogDLearner: A Deep Learning-based Cardiac Health Diagnosis Framework using Fog Computing
Iftikhar, S., Golec, M., Chowdhury, D., Gill, S. S., & Uhlig, S. (2022) · Australasian Computer Science Week 2022
IoT and Edge/Fog ComputingInternet of Things and AI
Cited by 31
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Journey from cloud of things to fog of things: survey, new trends, and research directions
Chakraborty, A., Kumar, M., Chaurasia, N., & Gill, S. S. (2023) · Software: Practice and Experience
IoT and Edge/Fog ComputingCloud Computing and Resource Management
Cited by 31
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A manifesto for modern fog and edge computing: vision, new paradigms, opportunities, and future directions
Gill, S. S. (2022) · EAI/Springer Innovations in Communication and Computing
IoT and Edge/Fog ComputingEnergy Efficiency in Computing
Cited by 28
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Experimental performance analysis of cloud resource allocation framework using spider monkey optimization algorithm
Kumar, M., Dubey, K., Singh, S., Kumar Samriya, J., & Gill, S. S. (2023) · Concurrency and Computation: Practice and Experience
Cloud Computing and Resource ManagementDistributed and Parallel Computing Systems
Cited by 26
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Seagull optimization algorithm based multi-objective vm placement in edge-cloud data centers
Nabavi, S., Wen, L., Gill, S. S., & Xu, M. (2023) · Internet of Things and Cyber-Physical Systems
Cloud Computing and Resource ManagementEnergy Efficiency in Computing
Cited by 26
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ithermofog: iot-fog based automatic thermal profile creation for cloud data centers using artificial intelligence techniques
Tuli, S., Gill, S. S., Casale, G., & Jennings, N. R. (2020) · Internet Technology Letters
Cloud Computing and Resource ManagementIoT and Edge/Fog Computing
Cited by 23
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Aiblock: blockchain based lightweight framework for serverless computing using ai
Golec, M., Chowdhury, D., Jaglan, S., Gill, S. S., & Uhlig, S. (2022) · 2022 22nd IEEE International Symposium on Cluster, Cloud and Internet Computing (CCGrid)
Blockchain Technology Applications and SecurityInternet of Things and AI
Cited by 23
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Mobile Edge Computing Based Internet of Agricultural Things: A Systematic Review and Future Directions
Sengupta, A., Gill, S. S., Das, A., & De, D. (2021) · Mobile Edge Computing
IoT and Edge/Fog ComputingSmart Agriculture and AI
Cited by 22
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BlockchainBus: A lightweight framework for secure virtual machine migration in cloud federations using blockchain
Doyle, J., Golec, M., & Gill, S. S. (2022) · SECURITY AND PRIVACY
Blockchain Technology Applications and SecurityCloud Computing and Resource Management
Cited by 20
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Mobile-kube: mobility-aware and energy-efficient service orchestration on kubernetes edge servers
Ghafouri, S., Karami, A., Bakhtiarvan, D. B., Bigdeli, A. S., Gill, S. S., & Doyle, J. (2022) · 2022 IEEE/ACM 15th International Conference on Utility and Cloud Computing (UCC)
IoT and Edge/Fog ComputingCloud Computing and Resource Management
Cited by 20
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IoT‐Pi: A machine learning‐based lightweight framework for cost‐effective distributed computing using IoT
Shao, T., Chowdhury, D., Gill, S. S., & Buyya, R. (2022) · Internet Technology Letters
IoT and Edge/Fog ComputingCloud Computing and Resource Management
Cited by 18
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Machine learning for cloud, fog, edge and serverless computing environments: comparisons, performance evaluation benchmark and future directions
Singh, P., Kaur, A., & Gill, S. S. (2022) · International Journal of Grid and Utility Computing
IoT and Edge/Fog ComputingCloud Computing and Resource Management
Cited by 11
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Fog computing based router-distributor application for sustainable smart home
Iftikhar, S., Golec, M., Chowdhury, D., Gill, S. S., & Uhlig, S. (2022) · 2022 IEEE 95th Vehicular Technology Conference: (VTC2022-Spring)
IoT and Edge/Fog ComputingEnergy Efficiency in Computing
Cited by 11
- Verified · note
A federated learning attack method based on edge collaboration via cloud
Yang, J., Baker, T., Gill, S. S., Yang, X., Han, W., & Li, Y. (2024) · Software: Practice and Experience
Privacy-Preserving Technologies in DataAdversarial Robustness in Machine Learning
Cited by 11
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Artificial Intelligence, Machine Learning and Blockchain in Quantum Satellite, Drone and Network
Subramanian, T., Dhyani, A., Kumar, A., & Gill, S. S. (2022) · CRC Press eBooks
Quantum Computing Algorithms and ArchitectureBlockchain Technology Applications and Security
Cited by 9
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Dynamic shift from cloud computing to industry 4.0: eco-friendly choice or climate change threat
Singh, M., Tuli, S., Butcher, R. J., Kaur, R., & Gill, S. S. (2021) · Lecture Notes on Data Engineering and Communications Technologies
Green IT and SustainabilityCloud Computing and Resource Management
Cited by 6
- Verified
Green internet of things using mobile cloud computing: architecture, applications, and future directions
Raychaudhuri, A., Mukherjee, A., De, D., & Gill, S. S. (2022) · Green Mobile Cloud Computing
IoT and Edge/Fog ComputingInternet of Things and AI
Cited by 3
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