Ioana Banicescu

Orcid: 0000-0001-5206-1436

According to our database1, Ioana Banicescu authored at least 85 papers between 1995 and 2024.

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Bibliography

2024
A Survey on Adversarial Contention Resolution.
CoRR, 2024

Eclectic Rule Extraction for Explainability of Deep Neural Network based Intrusion Detection Systems.
CoRR, 2024

2023
Explainable Intrusion Detection Systems Using Competitive Learning Techniques.
CoRR, 2023

Generating Host-Based Data from Network Traces for Intrusion Detection.
Proceedings of the 47th IEEE Annual Computers, Software, and Applications Conference, 2023

2022
Designing an Artificial Immune System inspired Intrusion Detection System.
CoRR, 2022

Explainable Intrusion Detection Systems (X-IDS): A Survey of Current Methods, Challenges, and Opportunities.
IEEE Access, 2022

Creating an Explainable Intrusion Detection System Using Self Organizing Maps.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2022

Performance Modeling of Scalable Resource Allocations with the Imperial PEPA Compiler.
Proceedings of the 21st International Symposium on Parallel and Distributed Computing, 2022

2021
A Performance-Oriented Comparison of Neural Network Approaches for Anomaly-based Intrusion Detection.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2021

2020
An approach for realistically simulating the performance of scientific applications on high performance computing systems.
Future Gener. Comput. Syst., 2020

A hybrid model-free approach for the near-optimal intrusion response control of non-stationary systems.
Future Gener. Comput. Syst., 2020

Autonomic Feature Selection using Computational Intelligence.
Future Gener. Comput. Syst., 2020

Two-level Dynamic Load Balancing for High Performance Scientific Applications.
Proceedings of the 2020 SIAM Conference on Parallel Processing for Scientific Computing, 2020

Robustness Analysis of Scaled Resource Allocation Models Using the Imperial PEPA Compiler.
Proceedings of the 19th International Symposium on Parallel and Distributed Computing, 2020

Addressing the Robustness of Resource Allocation in the Presence of Application and System Irregularities via PEPA Based Modeling.
Proceedings of the Computational Science - ICCS 2020, 2020

2019
A Performance Evaluation of Deep Reinforcement Learning for Model-Based Intrusion Response.
Proceedings of the IEEE 4th International Workshops on Foundations and Applications of Self* Systems, 2019

Exploring Loop Scheduling Enhancements in OpenMP: An LLVM Case Study.
Proceedings of the 18th International Symposium on Parallel and Distributed Computing, 2019

A Container-Based Framework to Facilitate Reproducibility in Employing Stochastic Process Algebra for Modeling Parallel Computing Systems.
Proceedings of the IEEE International Parallel and Distributed Processing Symposium Workshops, 2019

Introduction to PDSEC-19.
Proceedings of the IEEE International Parallel and Distributed Processing Symposium Workshops, 2019

2018
PEPA Based Performance Modeling for Robust Resource Allocations Amid Varying Processor Availability.
Proceedings of the 17th International Symposium on Parallel and Distributed Computing, 2018

Experimental Verification and Analysis of Dynamic Loop Scheduling in Scientific Applications.
Proceedings of the 17th International Symposium on Parallel and Distributed Computing, 2018

Scheduling in Parallel and Distributed Computing Systems.
Proceedings of the Topics in Parallel and Distributed Computing, 2018

2017
Keeping up with technology: Teaching Parallel, Distributed and High-Performance Computing.
J. Parallel Distributed Comput., 2017

Robust resource allocations through performance modeling with stochastic process algebra.
Concurr. Comput. Pract. Exp., 2017

Towards the Reproducibility of Using DLS Techniques in Scientific Applications.
Proceedings of the 16th International Symposium on Parallel and Distributed Computing, 2017

An Autonomic Approach for the Selection of Robust Dynamic Loop Scheduling Techniques.
Proceedings of the 16th International Symposium on Parallel and Distributed Computing, 2017

Examining the Reproducibility of Using Dynamic Loop Scheduling Techniques in Scientific Applications.
Proceedings of the 2017 IEEE International Parallel and Distributed Processing Symposium Workshops, 2017

A Comparison of Graph-Based Synthetic Data Generators for Benchmarking Next-Generation Intrusion Detection Systems.
Proceedings of the 2017 IEEE International Conference on Cluster Computing, 2017

2016
Load Balancing and Fault Tolerance Mechanisms for Scalable and Reliable Big Data Analytics.
Proceedings of the Resource Management for Big Data Platforms, 2016

Towards an autonomic performance management approach for a cloud broker environment using a decomposition-coordination based methodology.
Future Gener. Comput. Syst., 2016

2015
A Power-Aware Autonomic Approach for Performance Management of Scientific Applications in a Data Center Environment.
Proceedings of the Handbook on Data Centers, 2015

Investigating the Resilience of Dynamic Loop Scheduling in Heterogeneous Computing Systems.
Proceedings of the 14th International Symposium on Parallel and Distributed Computing, 2015

Towards Robust Resource Allocations via Performance Modeling with Stochastic Process Algebra.
Proceedings of the 18th IEEE International Conference on Computational Science and Engineering, 2015

2014
An Interaction Balance Based Approach for Autonomic Performance Management in a Cloud Computing Environment.
Proceedings of the Adaptive Resource Management and Scheduling for Cloud Computing, 2014

Robustness Prediction and Evaluation of Divisible Load Scheduling on Computing Systems with Unpredictable Variations.
Proceedings of the IEEE 13th International Symposium on Parallel and Distributed Computing, 2014

Portfolio-Based Selection of Robust Dynamic Loop Scheduling Algorithms Using Machine Learning.
Proceedings of the 2014 IEEE International Parallel & Distributed Processing Symposium Workshops, 2014

Scalability Analysis and Evaluation of Divisible Load Scheduling.
Proceedings of the 43rd International Conference on Parallel Processing Workshops, 2014

2013
Predicting the Flexibility of Dynamic Loop Scheduling Using an Artificial Neural Network.
Proceedings of the IEEE 12th International Symposium on Parallel and Distributed Computing, 2013

Analyzing the Robustness of Scheduling Algorithms Using Divisible Load Theory on Heterogeneous Systems.
Proceedings of the IEEE 12th International Symposium on Parallel and Distributed Computing, 2013

Evaluating the Flexibility of Dynamic Loop Scheduling on Heterogeneous Systems in the Presence of Fluctuating Load Using SimGrid.
Proceedings of the 2013 IEEE International Symposium on Parallel & Distributed Processing, 2013

Scheduling Data Parallel Workloads - A Comparative Study of Two Common Algorithmic Approaches.
Proceedings of the 42nd International Conference on Parallel Processing, 2013

2012
Analyzing the Robustness of Dynamic Loop Scheduling for Heterogeneous Computing Systems.
Proceedings of the 11th International Symposium on Parallel and Distributed Computing, 2012

A Utility Based Power-Aware Autonomic Approach for Running Scientific Applications.
Proceedings of the 26th IEEE International Parallel and Distributed Processing Symposium Workshops & PhD Forum, 2012

A Combined Dual-stage Framework for Robust Scheduling of Scientific Applications in Heterogeneous Environments with Uncertain Availability.
Proceedings of the 26th IEEE International Parallel and Distributed Processing Symposium Workshops & PhD Forum, 2012

Towards the Scalability of Dynamic Loop Scheduling Techniques via Discrete Event Simulation.
Proceedings of the 26th IEEE International Parallel and Distributed Processing Symposium Workshops & PhD Forum, 2012

2011
A parameter study of a hybrid Laplacian mean-curvature flow denoising model.
J. Supercomput., 2011

Investigating asymptotic properties of vector nonlinear time series models.
J. Comput. Appl. Math., 2011

Enhancing the Functionality of a GridSim-Based Scheduler for Effective Use with Large-Scale Scientific Applications.
Proceedings of the 10th International Symposium on Parallel and Distributed Computing, 2011

2010
Investigating the robustness of adaptive Dynamic Loop Scheduling on heterogeneous computing systems.
Proceedings of the 24th IEEE International Symposium on Parallel and Distributed Processing, 2010

2009
Towards the Robustness of Dynamic Loop Scheduling on Large-Scale Heterogeneous Distributed Systems.
Proceedings of the Eighth International Symposium on Parallel and Distributed Computing, 2009

Coupled thermo-hydro-mechanical modelling: A new parallel approach.
Proceedings of the 23rd IEEE International Symposium on Parallel and Distributed Processing, 2009

2008
Dynamic load balancing with adaptive factoring methods in scientific applications.
J. Supercomput., 2008

Investigating a Dynamic Loop Scheduling with Reinforcement Learning Approach to Load Balancing in Scientific Applications.
Proceedings of the 7th International Symposium on Parallel and Distributed Computing (ISPDC 2008), 2008

Parallel implementations of three scientific applications using LB_migrate.
Proceedings of the 22nd IEEE International Symposium on Parallel and Distributed Processing, 2008

Parallel Data Compression for Hyperspectral Imagery.
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2008

2007
A tool for a two-level dynamic load balancing strategy in scientific applications.
Scalable Comput. Pract. Exp., 2007

Effectiveness of a Dynamic Load Balancing Library for Scientific Applications.
Proceedings of the 6th International Symposium on Parallel and Distributed Computing (ISPDC 2007), 2007

2006
A Dynamic Load Balancing Tool for One and Two Dimensional Parallel Loops.
Proceedings of the 5th International Symposium on Parallel and Distributed Computing (ISPDC 2006), 2006

Simulation of a hybrid model for image denoising.
Proceedings of the 20th International Parallel and Distributed Processing Symposium (IPDPS 2006), 2006

Dynamic Load Balancing with MatlabMPI.
Proceedings of the Computational Science, 2006

2005
Vector nonlinear time-series analysis of gamma-ray burst datasets on heterogeneous clusters.
Sci. Program., 2005

Parallel Adaptive Quantum Trajectory Method for Wavepacket Simulations.
Parallel Process. Lett., 2005

Design and implementation of a novel dynamic load balancing library for cluster computing.
Parallel Comput., 2005

Performance evaluation of a dynamic load-balancing library for cluster computing.
Int. J. Comput. Sci. Eng., 2005

A Load Balancing Tool for Distributed Parallel Loops.
Clust. Comput., 2005

Guest Editorial on Challenges of Large Applications in Distributed Environments (CLADE).
Clust. Comput., 2005

Overhead Analysis of a Dynamic Load Balancing Library for Cluster Computing.
Proceedings of the 19th International Parallel and Distributed Processing Symposium (IPDPS 2005), 2005

Simulation of Vector Nonlinear Time Series Models on Clusters.
Proceedings of the 19th International Parallel and Distributed Processing Symposium (IPDPS 2005), 2005

Computational Challenges in Vector Functional Coefficient Autoregressive Models.
Proceedings of the Computational Science, 2005

Quantum Trajectories with Dynamic Loop Scheduling and Reinforcement Learning.
Proceedings of the 2005 IEEE International Conference on Cluster Computing (CLUSTER 2005), September 26, 2005

A Framework for Statistical Analysis of Datasets on Heterogeneous Clusters.
Proceedings of the 2005 IEEE International Conference on Cluster Computing (CLUSTER 2005), September 26, 2005

Automatic selection of loop scheduling algorithms using reinforcement learning.
Proceedings of the 2005 Challenges of Large Applications in Distributed Environments, 2005

2004
A Novel Dynamic Load Balancing Library for Cluster Computing.
Proceedings of the 3rd International Symposium on Parallel and Distributed Computing (ISPDC 2004), 2004

Dynamic Loop Scheduling with Processor Groups.
Proceedings of the ISCA 17th International Conference on Parallel and Distributed Computing Systems, 2004

2003
On the Scalability of Dynamic Scheduling Scientific Applications with Adaptive Weighted Factoring.
Clust. Comput., 2003

2002
Load Balancing Parallel Loops on Message-passing Systems.
Proceedings of the International Conference on Parallel and Distributed Computing Systems, 2002

Dynamic Scheduling Parallel Loops with Variable Iterate Execution Times.
Proceedings of the 16th International Parallel and Distributed Processing Symposium (IPDPS 2002), 2002

Load Balancing Highly Irregular Computations with the Adaptive Factoring.
Proceedings of the 16th International Parallel and Distributed Processing Symposium (IPDPS 2002), 2002

2001
Experiences from integrating algorithmic and systemic load balancing strategies.
Concurr. Comput. Pract. Exp., 2001

Performance of Scheduling Scientific Applications with Adaptive Weighted Factoring.
Proceedings of the 15th International Parallel & Distributed Processing Symposium (IPDPS-01), 2001

2000
Efficient Data Management for Load Balancing Scientific Applications in Distributed Computing Environment with Factoring Methods.
Proceedings of the International Conference on Parallel and Distributed Processing Techniques and Applications, 2000

1998
The Optimal Effectiveness Metric for Parallel Application Analysis.
Inf. Process. Lett., 1998

Hectiling: An Integration of Fine and Coarse-Grained Load-Balancing Strategies.
Proceedings of the Seventh IEEE International Symposium on High Performance Distributed Computing, 1998

1995
Balancing Processor Loads and Exploiting Data Locality in N-Body Simulations.
Proceedings of the Proceedings Supercomputing '95, San Diego, CA, USA, December 4-8, 1995, 1995

Load Balancing and Data Locality Via Fractiling: An Experimental Study.
Proceedings of the Languages, 1995


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