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ORCIDEnda Barrett
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2020 – today
- 2024
[j24]Mian Ibad Ali Shah
, Abdul Wahid, Enda Barrett, Karl Mason:
Peer-to-peer energy trading in dairy farms using multi-agent systems. Comput. Electr. Eng. 118: 109437 (2024)- [j23]Daniel Kelly, Frank G. Glavin, Enda Barrett:
DoWNet - classification of Denial-of-Wallet attacks on serverless application traffic. J. Cybersecur. 10(1) (2024) - [j22]Mian Ibad Ali Shah, Abdul Wahid, Enda Barrett, Karl Mason:
Multi-agent systems in Peer-to-Peer energy trading: A comprehensive survey. Eng. Appl. Artif. Intell. 132: 107847 (2024) - [c20]Mian Ibad Ali Shah, Enda Barrett, Karl Mason:
Reinforcement Learning Enabled Peer-to-Peer Energy Trading for Dairy Farms. PAAMS 2024: 27-38 - [c19]Kevlyn Kadamala, Des Chambers, Enda Barrett:
Transfer Learning with TD3 for Adaptive HVAC Control in Diverse Building Environments. PAAMS (Workshops) 2024: 256-267 - [c18]Kevlyn Kadamala, Des Chambers, Enda Barrett:
Enhancing HVAC Control Efficiency: A Hybrid Approach Using Imitation and Reinforcement Learning. ECML/PKDD (9) 2024: 256-270 - [i4]Mian Ibad Ali Shah, Enda Barrett, Karl Mason:
Reinforcement Learning Enabled Peer-to-Peer Energy Trading for Dairy Farms. CoRR abs/2405.12716 (2024) - 2023
- [j21]Daniel Kelly, Frank G. Glavin, Enda Barrett:
DoWTS - Denial-of-Wallet Test Simulator: Synthetic data generation for preemptive defence. J. Intell. Inf. Syst. 60(2): 325-348 (2023) - [c17]Mian Ibad Ali Shah, Abdul Wahid, Enda Barrett, Karl Mason:
A Multi-agent Systems Approach for Peer-to-Peer Energy Trading in Dairy Farming. ECAI Workshops (2) 2023: 254-261 - [i3]Mian Ibad Ali Shah, Abdul Wahid, Enda Barrett, Karl Mason:
A Multi-Agent Systems Approach for Peer-to-Peer Energy Trading in Dairy Farming. CoRR abs/2310.05932 (2023) - 2022
- [j20]Rachael Shaw, Enda Howley, Enda Barrett:
Applying Reinforcement Learning towards automating energy efficient virtual machine consolidation in cloud data centers. Inf. Syst. 107: 101722 (2022) - 2021
- [j19]Md. Sipon Miah, Michael Schukat, Enda Barrett:
A throughput analysis of an energy-efficient spectrum sensing scheme for the cognitive radio-based Internet of things. EURASIP J. Wirel. Commun. Netw. 2021(1): 201 (2021) - [j18]Daniel Kelly, Frank G. Glavin, Enda Barrett:
Denial of wallet - Defining a looming threat to serverless computing. J. Inf. Secur. Appl. 60: 102843 (2021) - [j17]Ili Ko, Desmond Chambers, Enda Barrett:
Recurrent autonomous autoencoder for intelligent DDoS attack mitigation within the ISP domain. Int. J. Mach. Learn. Cybern. 12(11): 3145-3167 (2021) - [j16]Mohammad Amzad Hossain, Michael Schukat, Enda Barrett:
Enhancing the Spectrum Sensing Performance of Cluster-Based Cooperative Cognitive Radio Networks via Sequential Multiple Reporting Channels. Wirel. Pers. Commun. 116(3): 2411-2433 (2021) - [c16]Mohammad Amzad Hossain, Michael Schukat, Enda Barrett:
A Reliable Energy and Spectral Efficient Spectrum Sensing Approach for Cognitive Radio Based IoT Networks. CCWC 2021: 1569-1576 - [c15]Mohammad Amzad Hossain, Michael Schukat, Enda Barrett:
MU-MIMO Based Cognitive Radio in Internet of Vehicles (IoV) for Enhanced Spectrum Sensing Accuracy and Sum Rate. VTC Spring 2021: 1-7 - [i2]Daniel Kelly, Frank G. Glavin, Enda Barrett:
Denial of Wallet - Defining a Looming Threat to Serverless Computing. CoRR abs/2104.08031 (2021) - 2020
- [j15]Md. Sipon Miah, Michael Schukat, Enda Barrett:
Sensing and throughput analysis of a MU-MIMO based cognitive radio scheme for the Internet of Things. Comput. Commun. 154: 442-454 (2020) - [j14]Ili Ko, Desmond Chambers, Enda Barrett:
Self-supervised network traffic management for DDoS mitigation within the ISP domain. Future Gener. Comput. Syst. 112: 524-533 (2020) - [j13]Ili Ko, Desmond Chambers, Enda Barrett:
Feature dynamic deep learning approach for DDoS mitigation within the ISP domain. Int. J. Inf. Sec. 19(1): 53-70 (2020) - [j12]Ili Ko, Desmond Chambers, Enda Barrett:
Adaptable feature-selecting and threshold-moving complete autoencoder for DDoS flood attack mitigation. J. Inf. Secur. Appl. 55: 102647 (2020) - [j11]Rachael Shaw, Enda Howley, Enda Barrett:
An intelligent ensemble learning approach for energy efficient and interference aware dynamic virtual machine consolidation. Simul. Model. Pract. Theory 102: 101992 (2020) - [j10]Paulo Lissa, Michael Schukat, Enda Barrett:
Transfer Learning Applied to Reinforcement Learning-Based HVAC Control. SN Comput. Sci. 1(3): 127 (2020) - [c14]Daniel Kelly, Frank G. Glavin, Enda Barrett:
Serverless Computing: Behind the Scenes of Major Platforms. CLOUD 2020: 304-312 - [i1]Daniel Kelly, Frank G. Glavin, Enda Barrett:
Serverless Computing: Behind the Scenes of Major Platforms. CoRR abs/2012.05600 (2020)
2010 – 2019
- 2019
- [j9]Rachael Shaw, Enda Howley, Enda Barrett:
An energy efficient anti-correlated virtual machine placement algorithm using resource usage predictions. Simul. Model. Pract. Theory 93: 322-342 (2019) - [j8]Martin Duggan, Rachael Shaw, Jim Duggan, Enda Howley, Enda Barrett:
A multitime-steps-ahead prediction approach for scheduling live migration in cloud data centers. Softw. Pract. Exp. 49(4): 617-639 (2019) - [c13]Paulo Lissa, Dayanne Peretti, Michael Schukat, Enda Barrett, Federico Seri, Marcus Keane:
Machine Learning Methods Applied to Building Energy Production and Consumption Prediction. AICS 2019: 236-247 - [c12]Rachael Shaw, Enda Howley, Enda Barrett:
An Energy Efficient and Interference Aware Virtual Machine Consolidation Algorithm Using Workload Classification. ICSOC 2019: 251-266 - 2018
- [j7]Karl Mason, Martin Duggan, Enda Barrett, Jim Duggan, Enda Howley:
Predicting host CPU utilization in the cloud using evolutionary neural networks. Future Gener. Comput. Syst. 86: 162-173 (2018) - [j6]Md. Sipon Miah, Michael Schukat, Enda Barrett:
An enhanced sum rate in the cluster based cognitive radio relay network using the sequential approach for the future Internet of Things. Hum. centric Comput. Inf. Sci. 8: 16 (2018) - [c11]Seamus Dowling, Michael Schukat, Enda Barrett:
Using Reinforcement Learning to Conceal Honeypot Functionality. ECML/PKDD (3) 2018: 341-355 - [c10]Rachael Shaw, Enda Howley, Enda Barrett:
A Predictive Anti-Correlated Virtual Machine Placement Algorithm for Green Cloud Computing. UCC 2018: 267-276 - 2017
- [j5]Martin Duggan, Jim Duggan, Enda Howley, Enda Barrett:
A network aware approach for the scheduling of virtual machine migration during peak loads. Clust. Comput. 20(3): 2083-2094 (2017) - [j4]Martin Duggan, Jim Duggan, Enda Howley, Enda Barrett:
A reinforcement learning approach for the scheduling of live migration from under utilised hosts. Memetic Comput. 9(4): 283-293 (2017) - [c9]Deepak Janardhanan, Enda Barrett:
CPU workload forecasting of machines in data centers using LSTM recurrent neural networks and ARIMA models. ICITST 2017: 55-60 - [c8]Rachael Shaw, Enda Howley, Enda Barrett:
An advanced reinforcement learning approach for energy-aware virtual machine consolidation in cloud data centers. ICITST 2017: 61-66 - [c7]Martin Duggan, Karl Mason, Jim Duggan, Enda Howley, Enda Barrett:
Predicting host CPU utilization in cloud computing using recurrent neural networks. ICITST 2017: 67-72 - [c6]Rachael Shaw, Enda Howley, Enda Barrett:
Predicting the Available Bandwidth on Intra Cloud Network Links for Deadline Constrained Workflow Scheduling in Public Clouds. ICSOC 2017: 221-228 - 2016
- [j3]Philip D. Healy, Theo Lynn, Enda Barrett, John P. Morrison:
Single system image: A survey. J. Parallel Distributed Comput. 90-91: 35-51 (2016) - [c5]Martin Duggan, Jim Duggan, Enda Howley, Enda Barrett:
An Autonomous Network Aware VM Migration Strategy in Cloud Data Centres. ICCAC 2016: 24-32 - 2015
- [c4]Enda Barrett, Stephen Linder:
Autonomous HVAC Control, A Reinforcement Learning Approach. ECML/PKDD (3) 2015: 3-19 - 2014
- [j2]Enda Barrett, Jim Duggan, Enda Howley:
A parallel framework for Bayesian reinforcement learning. Connect. Sci. 26(1): 7-23 (2014) - 2013
- [j1]Enda Barrett, Enda Howley, Jim Duggan:
Applying reinforcement learning towards automating resource allocation and application scalability in the cloud. Concurr. Comput. Pract. Exp. 25(12): 1656-1674 (2013) - 2011
- [c3]Enda Barrett, Enda Howley, Jim Duggan:
A Learning Architecture for Scheduling Workflow Applications in the Cloud. ECOWS 2011: 83-90
2000 – 2009
- 2009
- [c2]Enda Barrett, Des Chambers, Cosmin Rotariu:
ECG Classification and Analysis in a Zigbee Wireless Sensor Network. BIOSIGNALS 2009: 322-326 - [c1]Enda Barrett, Enda Howley, Jim Duggan:
Evolving Group Coordination in an N-Player Game. ECAL (1) 2009: 450-457
Coauthor Index
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