John Panneerselvam
John Panneerselvam
Verified email at derby.ac.uk
TitleCited byYear
Workload analysis for the scope of user demand prediction model evaluations in cloud environments
J Panneerselvam, L Liu, N Antonopoulos, Y Bo
Proceedings of the 2014 IEEE/ACM 7th International Conference on Utility and …, 2014
222014
Rvlbpnn: A workload forecasting model for smart cloud computing
Y Lu, J Panneerselvam, L Liu, Y Wu
Scientific Programming 2016, 2016
142016
Collaborative actuation of wireless sensor and actuator networks for the agriculture industry
X Bai, L Liu, M Cao, J Panneerselvam, Q Sun, H Wang
IEEE Access 5, 13286-13296, 2017
132017
Efficient event detection in social media data streams
X Sun, Y Wu, L Liu, J Panneerselvam
2015 IEEE International Conference on Computer and Information Technology …, 2015
122015
Achieving dynamic load balancing through mobile agents in small world P2P networks
XJ Shen, L Liu, ZJ Zha, PY Gu, ZQ Jiang, JM Chen, J Panneerselvam
Computer networks 75, 134-148, 2014
102014
iMIG: Toward an adaptive live migration method for KVM virtual machines
J Li, J Zhao, Y Li, L Cui, B Li, L Liu, J Panneerselvam
The Computer Journal 58 (6), 1227-1242, 2015
92015
An investigation of the effect of cloud computing on network management
J Panneerselvam, L Liu, R Hill, Y Zhan, W Liu
2012 IEEE 14th International Conference on High Performance Computing and …, 2012
92012
An efficient indexing model for the fog layer of industrial internet of things
D Miao, L Liu, R Xu, J Panneerselvam, Y Wu, W Xu
IEEE Transactions on Industrial Informatics 14 (10), 4487-4496, 2018
82018
Latency-aware empirical analysis of the workloads for reducing excess energy consumptions at cloud datacentres
J Panneerselvam, L Liu, N Antonopoulos, M Trovati
2016 IEEE Symposium on Service-Oriented System Engineering (SOSE), 44-52, 2016
82016
InOt-RePCoN: Forecasting user behavioural trend in large-scale cloud environments
J Panneerselvam, L Liu, N Antonopoulos
Future Generation Computer Systems 80, 322-341, 2018
52018
A cloud-oriented services self-management approach based on multi-agent system technique
F Hou, X Mao, W Wu, L Liu, J Panneerselvam
2014 IEEE/ACM 7th International Conference on Utility and Cloud Computing …, 2014
52014
A critical evaluation of the performance of virtualization technologies
H Al Jabry, L Liu, Y Zhu, J Panneerselvam
9th International Conference on Communications and Networking in China, 606-611, 2014
52014
CCLBR: Congestion control-based load balanced routing in unstructured P2P systems
XJ Shen, Q Chang, L Liu, J Panneerselvam, ZJ Zha
IEEE Systems Journal 12 (1), 802-813, 2016
42016
A critical analysis of the efficiencies of emerging wireless security standards against network attacks
K Vilius, L Liu, J Panneerselvam, T Stimpson
2015 International Conference on Intelligent Networking and Collaborative …, 2015
42015
An approach to optimise resource provision with energy-awareness in datacentres by combating task heterogeneity
J Panneerselvam, L Liu, N Antonopoulos
IEEE Transactions on Emerging Topics in Computing, 2018
32018
Analysis, Modelling and Characterisation of Zombie Servers in Large-Scale Cloud Datacentres
J Panneerselvam, L Liu, J Hardy, N Antonopoulos
IEEE Access 5, 15040-15054, 2017
32017
Characterisation of hidden periodicity in large-scale cloud datacentre environments
J Panneerselvam, L Liu, N Antonopoulos
2017 IEEE International Conference on Internet of Things (iThings) and IEEE …, 2017
32017
Credit-based incentives in vehicular ad hoc networks
Y Zhu, L Liu, J Panneerselvam, L Wang, Z Li
2014 IEEE 8th International Symposium on Service Oriented System Engineering …, 2014
32014
Latency-based Analytic Approach to Forecast Cloud Workload Trend for Sustainable Datacentres
Y Lu, L Liu, J Panneerselvam, X Zhai, X Sun, N Antonopoulos
IEEE Transactions on Sustainable Computing, 2019
22019
An Inductive Content-Augmented Network Embedding Model for Edge Artificial Intelligence
B Yuan, J Panneerselvam, L Liu, N Antonopoulos, Y Lu
IEEE Transactions on Industrial Informatics, 2019
22019
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Articles 1–20