Enda Barrett

According to our database, Enda Barrett authored at least 39 papers between 2009 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

DoWNet - classification of Denial-of-Wallet attacks on serverless application traffic.

Daniel Kelly, Frank G. Glavin, Enda Barrett

J. Cybersecur., January, 2024

2023

DoWTS - Denial-of-Wallet Test Simulator: Synthetic data generation for preemptive defence.

Daniel Kelly, Frank G. Glavin, Enda Barrett

J. Intell. Inf. Syst., April, 2023

A Multi-agent Systems Approach for Peer-to-Peer Energy Trading in Dairy Farming.

Mian Ibad Ali Shah, Abdul Wahid, Enda Barrett, Karl Mason

Proceedings of the Artificial Intelligence. ECAI 2023 International Workshops - XAI³, TACTIFUL, XI-ML, SEDAMI, RAAIT, AI4S, HYDRA, AI4AI, Kraków, Poland, September 30, 2023

2022

Applying Reinforcement Learning towards automating energy efficient virtual machine consolidation in cloud data centers.

Rachael Shaw, Enda Howley, Enda Barrett

Inf. Syst., 2022

2021

Enhancing the Spectrum Sensing Performance of Cluster-Based Cooperative Cognitive Radio Networks via Sequential Multiple Reporting Channels.

Mohammad Amzad Hossain, Michael Schukat, Enda Barrett

Wirel. Pers. Commun., 2021

Recurrent autonomous autoencoder for intelligent DDoS attack mitigation within the ISP domain.

Ili Ko, Desmond Chambers, Enda Barrett

Int. J. Mach. Learn. Cybern., 2021

Denial of wallet - Defining a looming threat to serverless computing.

Daniel Kelly, Frank G. Glavin, Enda Barrett

J. Inf. Secur. Appl., 2021

A throughput analysis of an energy-efficient spectrum sensing scheme for the cognitive radio-based Internet of things.

Md. Sipon Miah, Michael Schukat, Enda Barrett

EURASIP J. Wirel. Commun. Netw., 2021

MU-MIMO Based Cognitive Radio in Internet of Vehicles (IoV) for Enhanced Spectrum Sensing Accuracy and Sum Rate.

Mohammad Amzad Hossain, Michael Schukat, Enda Barrett

Proceedings of the 93rd IEEE Vehicular Technology Conference, 2021

A Reliable Energy and Spectral Efficient Spectrum Sensing Approach for Cognitive Radio Based IoT Networks.

Mohammad Amzad Hossain, Michael Schukat, Enda Barrett

Proceedings of the 11th IEEE Annual Computing and Communication Workshop and Conference, 2021

2020

Transfer Learning Applied to Reinforcement Learning-Based HVAC Control.

Paulo Lissa, Michael Schukat, Enda Barrett

SN Comput. Sci., 2020

An intelligent ensemble learning approach for energy efficient and interference aware dynamic virtual machine consolidation.

Rachael Shaw, Enda Howley, Enda Barrett

Simul. Model. Pract. Theory, 2020

Adaptable feature-selecting and threshold-moving complete autoencoder for DDoS flood attack mitigation.

Ili Ko, Desmond Chambers, Enda Barrett

J. Inf. Secur. Appl., 2020

Feature dynamic deep learning approach for DDoS mitigation within the ISP domain.

Ili Ko, Desmond Chambers, Enda Barrett

Int. J. Inf. Sec., 2020

Self-supervised network traffic management for DDoS mitigation within the ISP domain.

Ili Ko, Desmond Chambers, Enda Barrett

Future Gener. Comput. Syst., 2020

Sensing and throughput analysis of a MU-MIMO based cognitive radio scheme for the Internet of Things.

Md. Sipon Miah, Michael Schukat, Enda Barrett

Comput. Commun., 2020

Serverless Computing: Behind the Scenes of Major Platforms.

Daniel Kelly, Frank G. Glavin, Enda Barrett

Proceedings of the 13th IEEE International Conference on Cloud Computing, 2020

2019

A multitime-steps-ahead prediction approach for scheduling live migration in cloud data centers.

Martin Duggan, Rachael Shaw, Jim Duggan, Enda Howley, Enda Barrett

Softw. Pract. Exp., 2019

An energy efficient anti-correlated virtual machine placement algorithm using resource usage predictions.

Rachael Shaw, Enda Howley, Enda Barrett

Simul. Model. Pract. Theory, 2019

An Energy Efficient and Interference Aware Virtual Machine Consolidation Algorithm Using Workload Classification.

Rachael Shaw, Enda Howley, Enda Barrett

Proceedings of the Service-Oriented Computing - 17th International Conference, 2019

Machine Learning Methods Applied to Building Energy Production and Consumption Prediction.

Paulo Lissa, Dayanne Peretti, Michael Schukat, Enda Barrett, Federico Seri, Marcus Keane

Proceedings of the Proceedings for the 27th AIAI Irish Conference on Artificial Intelligence and Cognitive Science, 2019

2018

An enhanced sum rate in the cluster based cognitive radio relay network using the sequential approach for the future Internet of Things.

Md. Sipon Miah, Michael Schukat, Enda Barrett

Hum. centric Comput. Inf. Sci., 2018

Predicting host CPU utilization in the cloud using evolutionary neural networks.

Karl Mason, Martin Duggan, Enda Barrett, Jim Duggan, Enda Howley

Future Gener. Comput. Syst., 2018

A Predictive Anti-Correlated Virtual Machine Placement Algorithm for Green Cloud Computing.

Rachael Shaw, Enda Howley, Enda Barrett

Proceedings of the 11th IEEE/ACM International Conference on Utility and Cloud Computing, 2018

Using Reinforcement Learning to Conceal Honeypot Functionality.

Seamus Dowling, Michael Schukat, Enda Barrett

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2018

2017

A reinforcement learning approach for the scheduling of live migration from under utilised hosts.

Martin Duggan, Jim Duggan, Enda Howley, Enda Barrett

Memetic Comput., 2017

A network aware approach for the scheduling of virtual machine migration during peak loads.

Martin Duggan, Jim Duggan, Enda Howley, Enda Barrett

Clust. Comput., 2017

Predicting the Available Bandwidth on Intra Cloud Network Links for Deadline Constrained Workflow Scheduling in Public Clouds.

Rachael Shaw, Enda Howley, Enda Barrett

Proceedings of the Service-Oriented Computing - 15th International Conference, 2017

An advanced reinforcement learning approach for energy-aware virtual machine consolidation in cloud data centers.

Rachael Shaw, Enda Howley, Enda Barrett

Proceedings of the 12th International Conference for Internet Technology and Secured Transactions, 2017

CPU workload forecasting of machines in data centers using LSTM recurrent neural networks and ARIMA models.

Deepak Janardhanan, Enda Barrett

Proceedings of the 12th International Conference for Internet Technology and Secured Transactions, 2017

Predicting host CPU utilization in cloud computing using recurrent neural networks.

Martin Duggan, Karl Mason, Jim Duggan, Enda Howley, Enda Barrett

Proceedings of the 12th International Conference for Internet Technology and Secured Transactions, 2017

2016

Single system image: A survey.

Philip D. Healy, Theo Lynn, Enda Barrett, John P. Morrison

J. Parallel Distributed Comput., 2016

An Autonomous Network Aware VM Migration Strategy in Cloud Data Centres.

Martin Duggan, Jim Duggan, Enda Howley, Enda Barrett

Proceedings of the 2016 International Conference on Cloud and Autonomic Computing, 2016

2015

Autonomous HVAC Control, A Reinforcement Learning Approach.

Enda Barrett, Stephen Linder

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2015

2014

A parallel framework for Bayesian reinforcement learning.

Enda Barrett, Jim Duggan, Enda Howley

Connect. Sci., 2014

2013

Applying reinforcement learning towards automating resource allocation and application scalability in the cloud.

Enda Barrett, Enda Howley, Jim Duggan

Concurr. Comput. Pract. Exp., 2013

2011

A Learning Architecture for Scheduling Workflow Applications in the Cloud.

Enda Barrett, Enda Howley, Jim Duggan

Proceedings of the 9th IEEE European Conference on Web Services, 2011

2009

Evolving Group Coordination in an N-Player Game.

Enda Barrett, Enda Howley, Jim Duggan

Proceedings of the Advances in Artificial Life. Darwin Meets von Neumann, 2009

ECG Classification and Analysis in a Zigbee Wireless Sensor Network.

Enda Barrett, Des Chambers, Cosmin Rotariu

Proceedings of the BIOSIGNALS 2009, 2009