Enda Barrett

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 40

Top Topics

Cognitive Radio

Virtual Machine

Reinforcement Learning

Top Venues

Future Gener. Comput. Syst.

Publications

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 (2024)
Mian Ibad Ali Shah, Enda Barrett, Karl Mason
Reinforcement Learning Enabled Peer-to-Peer Energy Trading for Dairy Farms. CoRR (2024)
Daniel Kelly, Frank G. Glavin, Enda Barrett
DoWNet - classification of Denial-of-Wallet attacks on serverless application traffic. J. Cybersecur. 10 (1) (2024)
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 (2024)
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)
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 (2023)
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) (2023)
Rachael Shaw, Enda Howley, Enda Barrett
Applying Reinforcement Learning towards automating energy efficient virtual machine consolidation in cloud data centers. Inf. Syst. 107 (2022)
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)
Daniel Kelly, Frank G. Glavin, Enda Barrett
Denial of wallet - Defining a looming threat to serverless computing. J. Inf. Secur. Appl. 60 (2021)
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) (2021)
Daniel Kelly, Frank G. Glavin, Enda Barrett
Denial of Wallet - Defining a Looming Threat to Serverless Computing. CoRR (2021)
Mohammad Amzad Hossain, Michael Schukat, Enda Barrett
A Reliable Energy and Spectral Efficient Spectrum Sensing Approach for Cognitive Radio Based IoT Networks. CCWC (2021)
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) (2021)
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) (2021)
Ili Ko, Desmond Chambers, Enda Barrett
Adaptable feature-selecting and threshold-moving complete autoencoder for DDoS flood attack mitigation. J. Inf. Secur. Appl. 55 (2020)
Daniel Kelly, Frank G. Glavin, Enda Barrett
Serverless Computing: Behind the Scenes of Major Platforms. CLOUD (2020)
Paulo Lissa, Michael Schukat, Enda Barrett
Transfer Learning Applied to Reinforcement Learning-Based HVAC Control. SN Comput. Sci. 1 (3) (2020)
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 (2020)
Ili Ko, Desmond Chambers, Enda Barrett
Feature dynamic deep learning approach for DDoS mitigation within the ISP domain. Int. J. Inf. Sec. 19 (1) (2020)
Daniel Kelly, Frank G. Glavin, Enda Barrett
Serverless Computing: Behind the Scenes of Major Platforms. CoRR (2020)
Ili Ko, Desmond Chambers, Enda Barrett
Self-supervised network traffic management for DDoS mitigation within the ISP domain. Future Gener. Comput. Syst. 112 (2020)
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 (2020)
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) (2019)
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)
Rachael Shaw, Enda Howley, Enda Barrett
An Energy Efficient and Interference Aware Virtual Machine Consolidation Algorithm Using Workload Classification. ICSOC (2019)
Rachael Shaw, Enda Howley, Enda Barrett
An energy efficient anti-correlated virtual machine placement algorithm using resource usage predictions. Simul. Model. Pract. Theory 93 (2019)
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 (2018)
Seamus Dowling, Michael Schukat, Enda Barrett
Using Reinforcement Learning to Conceal Honeypot Functionality. ECML/PKDD (3) (2018)
Rachael Shaw, Enda Howley, Enda Barrett
A Predictive Anti-Correlated Virtual Machine Placement Algorithm for Green Cloud Computing. UCC (2018)
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 (2018)
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)
Rachael Shaw, Enda Howley, Enda Barrett
An advanced reinforcement learning approach for energy-aware virtual machine consolidation in cloud data centers. ICITST (2017)
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) (2017)
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) (2017)
Deepak Janardhanan, Enda Barrett
CPU workload forecasting of machines in data centers using LSTM recurrent neural networks and ARIMA models. ICITST (2017)
Martin Duggan, Karl Mason, Jim Duggan, Enda Howley, Enda Barrett
Predicting host CPU utilization in cloud computing using recurrent neural networks. ICITST (2017)
Philip D. Healy, Theo Lynn, Enda Barrett, John P. Morrison
Single system image: A survey. J. Parallel Distributed Comput. (2016)
Martin Duggan, Jim Duggan, Enda Howley, Enda Barrett
An Autonomous Network Aware VM Migration Strategy in Cloud Data Centres. ICCAC (2016)
Enda Barrett, Stephen Linder
Autonomous HVAC Control, A Reinforcement Learning Approach. ECML/PKDD (3) (2015)
Enda Barrett, Jim Duggan, Enda Howley
A parallel framework for Bayesian reinforcement learning. Connect. Sci. 26 (1) (2014)
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) (2013)
Enda Barrett, Enda Howley, Jim Duggan
A Learning Architecture for Scheduling Workflow Applications in the Cloud. ECOWS (2011)
Enda Barrett, Des Chambers, Cosmin Rotariu
ECG Classification and Analysis in a Zigbee Wireless Sensor Network. BIOSIGNALS (2009)
Enda Barrett, Enda Howley, Jim Duggan
Evolving Group Coordination in an N-Player Game. ECAL (1) (2009)