Challenges and opportunities in edge computing B Varghese, N Wang, S Barbhuiya, P Kilpatrick, DS Nikolopoulos 2016 IEEE international conference on smart cloud (SmartCloud), 20-26, 2016 | 664 | 2016 |
RADS: Real-time anomaly detection system for cloud data centres S Barbhuiya, Z Papazachos, P Kilpatrick, DS Nikolopoulos arXiv preprint arXiv:1811.04481, 2018 | 25 | 2018 |
A lightweight tool for anomaly detection in cloud data centres S Barbhuiya, Z Papazachos, P Kilpatrick, DS Nikolopoulos International Conference on Cloud Computing and Services Science 2, 343-351, 2015 | 23 | 2015 |
DroidLight: Lightweight anomaly-based intrusion detection system for smartphone devices S Barbhuiya, P Kilpatrick, DS Nikolopoulos Proceedings of the 21st international conference on distributed computing …, 2020 | 16 | 2020 |
Generative design for additive manufacturing using a biological development analogy M Price, W Zhang, I Friel, T Robinson, R McConnell, D Nolan, P Kilpatrick, ... Journal of Computational Design and Engineering 9 (2), 463-479, 2022 | 9 | 2022 |
A multi-threaded programming strategy for parallel Weather Forecast Model using C S Barbhuiya, Y Liang 2012 2nd IEEE International Conference on Parallel, Distributed and Grid …, 2012 | 8 | 2012 |
Gene-inspired development of innovative design: principles and algorithm W Zhang, M Price, T Robinson, D Nolan, P Kilpatrick, S Barbhuiya Procedia CIRP 91, 838-843, 2020 | 5 | 2020 |
Design gene representations for emergent innovative design SB Nikolopoulosb, S Kylea Advances in Manufacturing Technology XXXIII: Proceedings of the 17th …, 2019 | 5 | 2019 |
SmartMaaS: a framework for smart manufacturing-as-a-service S Barbhuiya, DS Nikolopoulos, M Priceb, T Robinson, D Nolan, W Zhang, ... Advances in Manufacturing Technology XXXIII, 16-21, 2019 | 5 | 2019 |
LS-ADT: Lightweight and Scalable Anomaly Detection for Cloud Datacentres S Barbhuiya, Z Papazachos, P Kilpatrick, DS Nikolopoulos Cloud Computing and Services Science: 5th International Conference, CLOSER …, 2016 | 5 | 2016 |
Linear Regression Based DDoS Attack Detection S Barbhuiya, P Kilpatrick, D S. Nikolopoulos Proceedings of the 2021 13th International Conference on Machine Learning …, 2021 | 4 | 2021 |
Bio-inspired growth: introducing emergence into computational design S Kyle, D Nolan, M Price, W Zhang, T Robinson, DS Nikolopoulos, ... 17th International Conference on Manufacturing Research, 379-385, 2019 | 2 | 2019 |
Heterogeneous servers based on programmable cores and dataflow engines Y Wu, C Gillan, U Minhas, S Barbhuiya, A Novakovic, K Tovletoglou, ... Workshop on Energy-efficient Servers for Cloud and Edge Computing 2017, 2017 | 2 | 2017 |
Fast Analysis and Prediction in Large Scale Virtual Machines Resource Utilisation. A Abubakar, S Barbhuiya, P Kilpatrick, NA Vien, DS Nikolopoulos CLOSER, 115-126, 2020 | 1 | 2020 |
Data collection framework: project deliverable D4. 1, revision 2 Z Papazachos, S Bharbuiya, P Kilpatrick, S Wesner, L Schubert, ... Universität Ulm, 2017 | 1 | 2017 |
Anomaly Detection in Cloud and Mobile Devices SA Barbhuiya Queen's University Belfast. Faculty of Engineering and Physical Sciences, July, 2018 | | 2018 |
Evaluation methodology for the CACTOS runtime and prediction toolkits: project deliverable D5. 4 C Stier, H Groenda, D Whigham, S Bharbuiya, Z Papazachos, C Hauser, ... Universität Ulm, 2017 | | 2017 |
Preliminary offline trace analysis: project deliverable D4. 2 Z Papazachos, S Bharbuiya, C Hauser, C Sheridan, C Stier, ... Universität Ulm, 2017 | | 2017 |
Accelerating Data Center Applications with Reconfigurable DataFlow Engines S Barbhuiya, Y Wu, K Murphy, H Vandierendonck, G Karakonstantis, ... Second International Workshop on Heterogeneous High-performance …, 2016 | | 2016 |
A Novel Design System for Exploiting Additive Manufacturing I Friel, M Price, R McConnell, W Zhang, T Robinson, D Nolan, P Kilpatrick, ... | | |