Author Info
Name
Affiliation
Papers
A. OMAR PORTILLO-DOMINGUEZ
Sch. of Comput. Sci. & Inf., Univ. Coll. Dublin, Dublin, Ireland|c|
15
Collaborators
Citations 
PageRank 
23
25
5.68
Referers 
Referees 
References 
36
283
132
Search Limit
100283
Title
Citations
PageRank
Year
Choosing Machine Learning Algorithms for Anomaly Detection in Smart Building IoT Scenarios00.342019
Towards an Efficient Performance Testing Through Dynamic Workload Adaptation.00.342019
DYNAMOJM - A JMeter Tool for Performance Testing Using Dynamic Workload Adaptation.00.342019
Analysis of Machine Learning Techniques for Anomaly Detection in the Internet of Things00.342018
One Size Does Not Fit All: In-Test Workload Adaptation for Performance Testing of Enterprise Applications.00.342018
A Requirements-Based Approach for the Evaluation of Emulated IoT Systems10.412018
Towards an Efficient Benchmark Generation Engine for Garbage Collection.00.342018
PHOEBE: an automation framework for the effective usage of diagnosis tools in the performance testing of clustered systems.20.432017
In-Test Adaptation of Workload in Enterprise Application Performance Testing.10.352017
Cocoa: A Synthetic Data Generator For Testing Anonymization Techniques40.442016
TRINI: an adaptive load balancing strategy based on garbage collection for clustered Java systems.60.472016
Adaptive GC-Aware Load Balancing Strategy for High-Assurance Java Distributed Systems30.392015
Automated WAIT for Cloud-Based Application Testing40.402014
Towards an automated approach to use expert systems in the performance testing of distributed systems30.402014
Load Balancing of Java Applications by Forecasting Garbage Collections10.362014