Enda Barrett
Titolo
Citata da
Citata da
Anno
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
1952013
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
592011
Autonomous hvac control, a reinforcement learning approach
E Barrett, S Linder
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2015
412015
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
332018
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
282017
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 (3), 2083-2094, 2017
282017
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
262017
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
262016
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
232019
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
212016
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
202017
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 (4), 283-293, 2017
182017
Single system image: A survey
P Healy, T Lynn, E Barrett, JP Morrison
Journal of Parallel and Distributed Computing 90, 35-51, 2016
142016
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
122019
Predicting the available bandwidth on intra cloud network links for deadline constrained workflow scheduling in public clouds
R Shaw, E Howley, E Barrett
International Conference on Service-Oriented Computing, 221-228, 2017
112017
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
112016
A parallel framework for bayesian reinforcement learning
E Barrett, J Duggan, E Howley
Connection Science 26 (1), 7-23, 2014
112014
An enhanced sum rate in the cluster based cognitive radio relay network using the sequential approach for the future Internet of Things
MS Miah, M Schukat, E Barrett
Human-centric Computing and Information Sciences 8 (1), 16, 2018
82018
A predictive anti-correlated virtual machine placement algorithm for green cloud computing
R Shaw, E Howley, E Barrett
2018 IEEE/ACM 11th International Conference on Utility and Cloud Computing …, 2018
62018
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
62018
Il sistema al momento non può eseguire l'operazione. Riprova più tardi.
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