E. Barrett

发表

Autonomous HVAC Control, A Reinforcement Learning Approach

Enda Barrett, Stephen Linder, E. Barrett, 2015, ECML/PKDD.

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

Enda Barrett, Jim Duggan, Enda Howley, 2018, Softw. Pract. Exp..

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

E. Barrett, Rachael Shaw, E. Howley, 2017, ICSOC.

A Learning Architecture for Scheduling Workflow Applications in the Cloud

Enda Barrett, Jim Duggan, Enda Howley, 2011, 2011 IEEE Ninth European Conference on Web Services.

Parallel Bayesian Model Learning

E. Barrett, 2013 .

A review of behind-the-meter energy storage systems in smart grids

E. Barrett, Maeve Duffy, R. Monaghan, 2022, Renewable and Sustainable Energy Reviews.

Title A learning architecture for scheduling workflow applications inthe cloud

E. Barrett, 2018 .

A parallel framework for Bayesian reinforcement learning

Enda Barrett, Jim Duggan, Enda Howley, 2014, Connect. Sci..

A Learning Architecture to Support Autonomous Resource Scheduling and Allocation in the Cloud

Enda Barrett, E. Barrett, 2013 .

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

Enda Barrett, Enda Howley, Rachael Shaw, 2017, 2017 12th International Conference for Internet Technology and Secured Transactions (ICITST).

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

Enda Barrett, Enda Howley, Rachael Shaw, 2021, Inf. Syst..

Predicting host CPU utilization in the cloud using evolutionary neural networks

Enda Barrett, Jim Duggan, Karl Mason, 2018, Future Gener. Comput. Syst..

Optimal Scheduling for Behind-the-Meter Batteries under Different Tariff Structures

E. Barrett, R. Monaghan, M. Duffy, 2021, 2021 IEEE 9th International Conference on Smart Energy Grid Engineering (SEGE).

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

Enda Barrett, Jim Duggan, Enda Howley, 2016, Memetic Computing.

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

E. Barrett, Martin Duggan, J. Duggan, 2016, Memetic Computing.

Deep reinforcement learning for home energy management system control

Enda Barrett, Michael Schukat, Federico Seri, 2021 .

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

Enda Barrett, Michael Schukat, Md. Sipon Miah, 2018, Hum. centric Comput. Inf. Sci..

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

Enda Barrett, Deepak Janardhanan, E. Barrett, 2017, 2017 12th International Conference for Internet Technology and Secured Transactions (ICITST).

An Autonomous Network Aware VM Migration Strategy in Cloud Data Centres

Enda Barrett, Jim Duggan, Enda Howley, 2016, 2016 International Conference on Cloud and Autonomic Computing (ICCAC).

Predicting host CPU utilization in cloud computing using recurrent neural networks

Enda Barrett, Jim Duggan, Karl Mason, 2017, 2017 12th International Conference for Internet Technology and Secured Transactions (ICITST).

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

Enda Barrett, Jim Duggan, Enda Howley, 2013, Concurr. Comput. Pract. Exp..

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

Enda Barrett, Enda Howley, Rachael Shaw, 2019, Simul. Model. Pract. Theory.

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

Enda Barrett, Michael Schukat, Mohammad Amzad Hossain, 2020, Wirel. Pers. Commun..

Using Reinforcement Learning to Conceal Honeypot Functionality

Enda Barrett, Michael Schukat, Seamus Dowling, 2018, ECML/PKDD.

Improving adaptive honeypot functionality with efficient reinforcement learning parameters for automated malware

M. Schukat, E. Barrett, Seamus Dowling, 2018, Journal of Cyber Security Technology.

New framework for adaptive and agile honeypots

Enda Barrett, Michael Schukat, Seamus Dowling, 2020, ETRI Journal.

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

Enda Barrett, Michael Schukat, Md. Sipon Miah, 2020, Comput. Commun..

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

Enda Barrett, Michael Schukat, Md. Sipon Miah, 2021, EURASIP J. Wirel. Commun. Netw..

Evolving Group Coordination in an N-Player Game

Enda Barrett, Jim Duggan, Enda Howley, 2009, ECAL.

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

Enda Barrett, Desmond Chambers, Ili Ko, 2020, J. Inf. Secur. Appl..

Transfer learning applied to DRL-Based heat pump control to leverage microgrid energy efficiency

Enda Barrett, Michael Schukat, Marcus Keane, 2021, Smart Energy.

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

Enda Barrett, Michael Schukat, Mohammad Amazad Hossain, 2021, 2021 IEEE 11th Annual Computing and Communication Workshop and Conference (CCWC).

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

Enda Barrett, Desmond Chambers, Ili Ko, 2019, International Journal of Information Security.

Transfer Learning Applied to Reinforcement Learning-Based HVAC Control

Enda Barrett, Michael Schukat, Paulo Lissa, 2020, SN Computer Science.

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

Enda Barrett, Enda Howley, Rachael Shaw, 2020, Simul. Model. Pract. Theory.

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

Enda Barrett, Jim Duggan, Enda Howley, 2017, Cluster Computing.

A reinforcement learning approach for dynamic selection of virtual machines in cloud data centres

Enda Barrett, Jim Duggan, Enda Howley, 2016, 2016 Sixth International Conference on Innovative Computing Technology (INTECH).