John Panneerselvam


NameJohn Panneerselvam
Job titleAssociate Lecturer
Research instituteCollege of Science and Engineering

Research outputs

Efficient resampling for fraud detection during anonymised credit card transactions with unbalanced datasets

Mrozek, Petr, Panneerselvam, J. and Bagdasar, Ovidiu 2020. Efficient resampling for fraud detection during anonymised credit card transactions with unbalanced datasets. IEEE. https://doi.org/10.1109/ucc48980.2020.00067

Exploring network embedding for efficient message routing in opportunistic mobile social networks

Yuan, Bo, Anjum, Ashiq, Panneerselvam, J. and Liu, Lu 2020. Exploring network embedding for efficient message routing in opportunistic mobile social networks. IEEE. https://doi.org/10.1109/ICDMW.2019.00077

A GRU-based prediction framework for intelligent resource management at cloud data centres in the age of 5G

Lu, Yao, Liu, Lu, Panneerselvam, J., Yuan, Bo, Gu, Jiayan and Antonopoulos, Nick 2019. A GRU-based prediction framework for intelligent resource management at cloud data centres in the age of 5G. IEEE Transactions on Cognitive Communications and Networking. 6 (2), pp. 486-498. https://doi.org/10.1109/tccn.2019.2954388

An inductive content-augmented network embedding model for edge artificial intelligence

Yuan, Bo, Panneerselvam, J., Liu, Lu, Antonopoulos, Nick and Lu, Yao 2019. An inductive content-augmented network embedding model for edge artificial intelligence. IEEE Transactions on Industrial Informatics. 15 (7), pp. 4295-4305. https://doi.org/10.1109/TII.2019.2902877

An efficient indexing model for the fog layer of industrial Internet of Things.

Miao, Dejun, Liu, Lu, Xu, Rongyan, Panneerselvam, J., Wu, Yan and Xu, Wei 2018. An efficient indexing model for the fog layer of industrial Internet of Things. IEEE Transactions on Industrial Informatics. https://doi.org/10.1109/TII.2018.2799598

An approach to optimise resource provision with energy-awareness in datacentres by combating task heterogeneity.

Liu, Lu, Antonopoulos, Nikolaos and Panneerselvam, J. 2018. An approach to optimise resource provision with energy-awareness in datacentres by combating task heterogeneity. IEEE Transactions on Emerging Topics in Computing. https://doi.org/10.1109/TETC.2018.2794328

An investigation into the impacts of task-level behavioural heterogeneity upon energy efficiency in Cloud datacentres.

Panneerselvam, J., Liu, Lu, Lu, Yao and Antonopoulos, Nikolaos 2018. An investigation into the impacts of task-level behavioural heterogeneity upon energy efficiency in Cloud datacentres. Future Generation Computer Systems. https://doi.org/10.1016/j.future.2017.12.064

Collaborative actuation of wireless sensor and actuator networks for the agriculture industry.

Bai, Xingzhen, Liu, Lu, Cao, Maoyong, Panneerselvam, J., Sun, Qiao and Wang, Haixia 2017. Collaborative actuation of wireless sensor and actuator networks for the agriculture industry. IEEE Access. https://doi.org/10.1109/ACCESS.2017.2725342

InOt-RePCoN: Forecasting user behavioural trend in large-scale cloud environments.

Panneerselvam, J., Liu, Lu and Antonopoulos, Nikolaos 2017. InOt-RePCoN: Forecasting user behavioural trend in large-scale cloud environments. Future Generation Computer Systems. https://doi.org/10.1016/j.future.2017.05.022

Mobilouds: An energy efficient MCC collaborative framework with extended mobile participation for next generation networks

Panneerselvam, J., Hardy, J., Liu, Lu, Yuan, Bo and Antonopoulos, Nikolaos 2017. Mobilouds: An energy efficient MCC collaborative framework with extended mobile participation for next generation networks. IEEE Access. https://doi.org/10.1109/ACCESS.2016.2602321

CCLBR: Congestion control-based load balanced routing in unstructured P2P systems

Shen, Xiang-Jun, Chang, Qing, Liu, Lu, Panneerselvam, J. and Zha, Zheng-Jun 2016. CCLBR: Congestion control-based load balanced routing in unstructured P2P systems. IEEE Systems Journal. https://doi.org/10.1109/JSYST.2016.2558515

RVLBPNN: A workload forecasting model for smart cloud computing

Lu, Yao, Panneerselvam, J., Liu, Lu and Wu, Yan 2016. RVLBPNN: A workload forecasting model for smart cloud computing. Scientific Programming. https://doi.org/10.1155/2016/5635673

A critical review of the routing protocols in opportunistic networks

Panneerselvam, J., Atojoko, Anthony, Smith, K., Liu, Lu and Antonopoulos, Nikolaos 2014. A critical review of the routing protocols in opportunistic networks. EAI Endorsed Transactions on Industrial Networks and Intelligent Systems. https://doi.org/10.4108/inis.1.1.e6

iMIG: Toward an adaptive live migration method for KVM virtual machines

Li, Jianxin, Zhao, Jieyu Zhao, Li, Yi, Cui, Lei, Li, Bo, Liu, Lu and Panneerselvam, J. 2014. iMIG: Toward an adaptive live migration method for KVM virtual machines. The Computer Journal. https://doi.org/10.1093/comjnl/bxu065

Achieving dynamic load balancing through mobile agents in small world P2P networks

Shen, Xiang-Jun, Liu, Lu, Zha, Zheng-Jun, Gu, Pei-Ying, Jiang, Zhong-Qiu, Chen, Ji-Ming and Panneerselvam, J. 2014. Achieving dynamic load balancing through mobile agents in small world P2P networks. Computer Networks. https://doi.org/10.1016/j.comnet.2014.05.003
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