A. O. Portillo-Dominguez

Towards an Efficient Performance Testing Through Dynamic Workload Adaptation

A. Omar Portillo-Dominguez, Vanessa Ayala-Rivera, Liam Murphy, 2019, ICTSS.

TRINI: an adaptive load balancing strategy based on garbage collection for clustered Java systems

A. Omar Portillo-Dominguez, Philip Perry, Damien Magoni, 2016, Softw. Pract. Exp..

Analysis of Machine Learning Techniques for Anomaly Detection in the Internet of Things

A. Omar Portillo-Dominguez, Damien Magoni, John Murphy, 2018, 2018 IEEE Latin American Conference on Computational Intelligence (LA-CCI).

COCOA: A Synthetic Data Generator for Testing Anonymization Techniques

Christina Thorpe, A. Omar Portillo-Dominguez, Vanessa Ayala-Rivera, 2016, PSD.

A Requirements-Based Approach for the Evaluation of Emulated IoT Systems

A. Omar Portillo-Dominguez, Vanessa Ayala-Rivera, Vanessa Ayala-Rivera, 2018, 2018 4th International Workshop on Requirements Engineering for Self-Adaptive, Collaborative, and Cyber Physical Systems (RESACS).

Towards an emulated IoT test environment for anomaly detection using NEMU

A. Omar Portillo-Dominguez, Philip Perry, Adriana Hava, 2017, 2017 Global Internet of Things Summit (GIoTS).

Choosing Machine Learning Algorithms for Anomaly Detection in Smart Building IoT Scenarios

A. Omar Portillo-Dominguez, John Murphy, Liam Murphy, 2019, 2019 IEEE 5th World Forum on Internet of Things (WF-IoT).