A. Omar Portillo-Dominguez
A. Omar Portillo-Dominguez
Verified email at ucdconnect.ie
Cited by
Cited by
Towards an emulated IoT test environment for anomaly detection using NEMU
S Brady, A Hava, P Perry, J Murphy, D Magoni, AO Portillo-Dominguez
2017 Global Internet of Things Summit (GIoTS), 1-6, 2017
COCOA: A synthetic data generator for testing anonymization techniques
V Ayala-Rivera, AO Portillo-Dominguez, L Murphy, C Thorpe
International Conference on Privacy in Statistical Databases, 163-177, 2016
Load balancing of java applications by forecasting garbage collections
AO Portillo-Dominguez, M Wang, D Magoni, P Perry, J Murphy
2014 IEEE 13th International Symposium on Parallel and Distributed Computing …, 2014
Trini: an adaptive load balancing strategy based on garbage collection for clustered java systems
AO Portillo‐Dominguez, P Perry, D Magoni, M Wang, J Murphy
Software: Practice and Experience 46 (12), 1705-1733, 2016
Automated WAIT for cloud-based application testing
AO Portillo-Dominguez, M Wang, J Murphy, D Magoni
2014 IEEE Seventh International Conference on Software Testing, Verification …, 2014
Adaptive GC-aware load balancing strategy for high-assurance java distributed systems
AO Portillo-Dominguez, M Wang, J Murphy, D Magoni
2015 IEEE 16th International Symposium on High Assurance Systems Engineering …, 2015
One size does not fit all: In-test workload adaptation for performance testing of enterprise applications
V Ayala-Rivera, M Kaczmarski, J Murphy, A Darisa, ...
Proceedings of the 2018 ACM/SPEC International Conference on Performance …, 2018
PHOEBE: an automation framework for the effective usage of diagnosis tools in the performance testing of clustered systems
AO Portillo‐Dominguez, P Perry, D Magoni, J Murphy
Software: Practice and Experience 47 (11), 1837-1874, 2017
Dynamically adapting a test workload to accelerate the identification of performance issues
ER Altman, HAAA Salama, NM Mitchell, PJ O'Sullivan, AOP DOMINGUEZ, ...
US Patent 10,176,022, 2019
Analysis of machine learning techniques for anomaly detection in the internet of things
S Brady, D Magoni, J Murphy, H Assem, AO Portillo-Dominguez
2018 IEEE Latin American Conference on Computational Intelligence (LA-CCI), 1-6, 2018
Rule-based adaptive monitoring of application performance
ER Altman, HAAA Salama, NM Mitchell, PJ O'Sullivan, AOP DOMINGUEZ, ...
US Patent 10,078,571, 2018
A unified approach to automate the usage of plagiarism detection tools in programming courses
AO Portillo-Dominguez, V Ayala-Rivera, E Murphy, J Murphy
2017 12th International Conference on Computer Science and Education (ICCSE …, 2017
In-test adaptation of workload in enterprise application performance testing
M Kaczmarski, P Perry, J Murphy, AO Portillo-Dominguez
Proceedings of the 8th ACM/SPEC on International Conference on Performance …, 2017
Leverage of extended information to enhance the performance of JEE systems
AO Portillo Dominguez, J Murphy, P O'Sullivan
The IT&T 11th International Conference on Information Technology and …, 2012
Choosing machine learning algorithms for anomaly detection in smart building iot scenarios
F Almaguer-Angeles, J Murphy, L Murphy, AO Portillo-Dominguez
2019 IEEE 5th World Forum on Internet of Things (WF-IoT), 491-495, 2019
Dynamically identifying performance anti-patterns
ER Altman, HAAA Salama, NM Mitchell, PJ O'Sullivan, AOP DOMINGUEZ, ...
US Patent 10,346,283, 2019
A requirements-based approach for the evaluation of emulated iot systems
AO Portillo-Dominguez, V Ayala-Rivera
2018 4th International Workshop on Requirements Engineering for Self …, 2018
Towards an automated approach to use expert systems in the performance testing of distributed systems
AO Portillo-Dominguez, M Wang, J Murphy, D Magoni, N Mitchell, ...
Proceedings of the 2014 Workshop on Joining AcadeMiA and Industry …, 2014
Improving the testing of clustered systems through the effective usage of java benchmarks
AO Portillo-Dominguez, V Ayala-Rivera
2017 5th International Conference in Software Engineering Research and …, 2017
Towards an Efficient Performance Testing Through Dynamic Workload Adaptation
O Huerta-Guevara, V Ayala-Rivera, L Murphy, AO Portillo-Dominguez
IFIP International Conference on Testing Software and Systems, 215-233, 2019
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