| Levenberg–Marquardt multi-classification using hinge loss function | 0 | 0.34 | 2021 |
| Mining Workflows for Anomalous Data Transfers | 1 | 0.35 | 2021 |
| End-to-end online performance data capture and analysis for scientific workflows | 1 | 0.35 | 2021 |
| Using Machine Learning for Intent-based provisioning in High-Speed Science Networks | 0 | 0.34 | 2020 |
| Editorial: Machine learning for safety-critical applications in engineering. | 0 | 0.34 | 2020 |
| Data-driven Learning to Predict WAN Network Traffic | 2 | 0.40 | 2020 |
| Detecting anomalous packets in network transfers: investigations using PCA, autoencoder and isolation forest in TCP | 2 | 0.37 | 2020 |
| DeepRoute - Herding Elephant and Mice Flows with Reinforcement Learning. | 0 | 0.34 | 2019 |
| Understanding flows in high-speed scientific networks: A Netflow data study. | 1 | 0.35 | 2019 |
| Multivariate Time-Series Prediction for Traffic in Large WAN Topology | 0 | 0.34 | 2019 |
| DeepRoute on Chameleon: Experimenting with Large-scale Reinforcement Learning and SDN on Chameleon Testbed | 0 | 0.34 | 2019 |
| Training Classifiers to Identify TCP Signatures in Scientific Workflows | 1 | 0.37 | 2019 |
| Failure Analysis Modelling in an Infrastructure as a Service (Iaas) Environment. | 0 | 0.34 | 2018 |
| A performance modeling framework for lambda architecture based applications. | 4 | 0.50 | 2018 |
| Enabling intent to configure scientific networks for high performance demands. | 7 | 0.56 | 2018 |
| Calibers: A bandwidth calendaring paradigm for science workflows. | 1 | 0.36 | 2018 |
| Failover strategy for fault tolerance in cloud computing environment. | 8 | 0.48 | 2017 |
| Technical Report on Deploying a highly secured OpenStack Cloud Infrastructure using BradStack as a Case Study. | 0 | 0.34 | 2017 |
| Performance Modelling and Analysis of an OpenStack IaaS Cloud Computing Platform | 0 | 0.34 | 2017 |
| Indira: 'Application Intent' Network Assistant To Configure Sdn-Based High Performance Scientific Networks | 0 | 0.34 | 2017 |
| Optimising Fault Tolerance in Real-Time Cloud Computing IaaS Environment | 3 | 0.44 | 2016 |
| Testing Software Services in Cloud Ecosystems | 3 | 0.39 | 2016 |
| Agent-Based High-Performance Simulation of Biological Systems on the GPU | 2 | 0.39 | 2015 |
| Lambda architecture for cost-effective batch and speed big data processing | 15 | 1.11 | 2015 |
| Using Agent-Based VM Placement Policy | 2 | 0.37 | 2015 |
| Analysis of Cloud Test Beds Using OpenSource Solutions | 5 | 0.44 | 2015 |
| Agent-Based Modelling as a Service on Amazon EC2: Opportunities and Challenges | 2 | 0.40 | 2015 |
| Model-Based Testing for Composite Web Services in Cloud Brokerage Scenarios | 1 | 0.36 | 2014 |
| Large-Scale Modeling Of Economic Systems | 3 | 0.67 | 2013 |
| Model-Based Testing in Cloud Brokerage Scenarios. | 4 | 0.41 | 2013 |
| Security risks and their management in cloud computing | 13 | 0.95 | 2012 |
| Assuring Data Privacy in Cloud Transformations | 0 | 0.34 | 2012 |
| Risk based SLA management in clouds: A legal perspective | 1 | 0.37 | 2012 |
| A multiobjective optimisation approach for the dynamic inference and refinement of agent-based model specifications. | 1 | 0.36 | 2011 |
| Towards a Service Lifecycle Based Methodology for Risk Assessment in Cloud Computing | 12 | 0.76 | 2011 |
| An Approach To The Parallelisation Of Agent-Based Applications | 0 | 0.34 | 2010 |
| FLAME: simulating large populations of agents on parallel hardware architectures | 19 | 1.06 | 2010 |
| Validation and discovery from computational biology models. | 7 | 1.20 | 2008 |
