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Enda Barrett
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Cited by
Year
Applying reinforcement learning towards automating resource allocation and application scalability in the cloud
E Barrett, E Howley, J Duggan
Concurrency and computation: practice and experience 25 (12), 1656-1674, 2013
2882013
Autonomous hvac control, a reinforcement learning approach
E Barrett, S Linder
Machine Learning and Knowledge Discovery in Databases: European Conference …, 2015
1472015
Deep reinforcement learning for home energy management system control
P Lissa, C Deane, M Schukat, F Seri, M Keane, E Barrett
Energy and AI 3, 100043, 2021
1172021
Predicting host CPU utilization in the cloud using evolutionary neural networks
K Mason, M Duggan, E Barrett, J Duggan, E Howley
Future Generation Computer Systems 86, 162-173, 2018
1092018
CPU workload forecasting of machines in data centers using LSTM recurrent neural networks and ARIMA models
D Janardhanan, E Barrett
2017 12th international conference for internet technology and secured …, 2017
1002017
Predicting host CPU utilization in cloud computing using recurrent neural networks
M Duggan, K Mason, J Duggan, E Howley, E Barrett
2017 12th international conference for internet technology and secured …, 2017
962017
A learning architecture for scheduling workflow applications in the cloud
E Barrett, E Howley, J Duggan
2011 IEEE ninth European conference on web services, 83-90, 2011
862011
An energy efficient anti-correlated virtual machine placement algorithm using resource usage predictions
R Shaw, E Howley, E Barrett
Simulation Modelling Practice and Theory 93, 322-342, 2019
632019
Applying reinforcement learning towards automating energy efficient virtual machine consolidation in cloud data centers
R Shaw, E Howley, E Barrett
Information Systems 107, 101722, 2022
622022
A review of behind-the-meter energy storage systems in smart grids
M Rezaeimozafar, RFD Monaghan, E Barrett, M Duffy
Renewable and Sustainable Energy Reviews 164, 112573, 2022
602022
Method to use augumented reality to function as hmi display
RM Fallon, P Bohan, E Barrett, SP Katru, V Rathish, VM Deokar
US Patent App. 14/480,862, 2016
602016
An advanced reinforcement learning approach for energy-aware virtual machine consolidation in cloud data centers
R Shaw, E Howley, E Barrett
2017 12th International Conference for Internet Technology and Secured …, 2017
522017
A multitime‐steps‐ahead prediction approach for scheduling live migration in cloud data centers
M Duggan, R Shaw, J Duggan, E Howley, E Barrett
Software: Practice and Experience 49 (4), 617-639, 2019
442019
A reinforcement learning approach for dynamic selection of virtual machines in cloud data centres
M Duggan, K Flesk, J Duggan, E Howley, E Barrett
2016 sixth international conference on innovative computing technology …, 2016
432016
A network aware approach for the scheduling of virtual machine migration during peak loads
M Duggan, J Duggan, E Howley, E Barrett
Cluster Computing 20, 2083-2094, 2017
402017
A reinforcement learning approach for the scheduling of live migration from under utilised hosts
M Duggan, J Duggan, E Howley, E Barrett
Memetic Computing 9, 283-293, 2017
392017
Using reinforcement learning to conceal honeypot functionality
S Dowling, M Schukat, E Barrett
Machine Learning and Knowledge Discovery in Databases: European Conference …, 2019
342019
Serverless computing: Behind the scenes of major platforms
D Kelly, F Glavin, E Barrett
2020 IEEE 13th International Conference on Cloud Computing (CLOUD), 304-312, 2020
332020
Improving adaptive honeypot functionality with efficient reinforcement learning parameters for automated malware
S Dowling, M Schukat, E Barrett
Journal of Cyber Security Technology 2 (2), 75-91, 2018
322018
An autonomous network aware vm migration strategy in cloud data centres
M Duggan, J Duggan, E Howley, E Barrett
2016 International Conference on Cloud and Autonomic Computing (ICCAC), 24-32, 2016
322016
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