Matthew Forshaw

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 56

Top Topics

Reinforcement Learning

Literature Review

Energy Consumption

Bidding Strategies

Top Venues

Electron. Notes Theor. Comput. Sci.

Publications

Rob Geada, David Towers, Matthew Forshaw, Amir Atapour-Abarghouei, A. Stephen McGough
Insights from the Use of Previously Unseen Neural Architecture Search Datasets. CoRR (2024)
Fulong Yao, Wanqing Zhao, Matthew Forshaw, Yang Song
A New Self-organizing Interval Type-2 Fuzzy Neural Network for Multi-Step Time Series Prediction. CoRR (2024)
Tony Clear, Åsa Cajander, Alison Clear, Roger McDermott, Andreas Bergqvist, Mats Daniels, Monica Divitini, Matthew Forshaw, Niklas Humble, Maria Kasinidou, Styliani Kleanthous, Can Kültür, Ghazaleh Parvini, Mohammad Polash, Tingting Zhu
A Plan for a Joint Study into the Impacts of AI on Professional Competencies of IT Professionals and Implications for Computing Students. ITiCSE (2) (2024)
Fulong Yao, Wanqing Zhao, Matthew Forshaw, Yang Song
A Holistic Power Optimization Approach for Microgrid Control Based on Deep Reinforcement Learning. CoRR (2024)
Mohamad Elhadi Abushofa, Amir Atapour Abarghouei, Matthew Forshaw, Andrew Stephen McGough
FEGR: Feature Enhanced Graph Representation Method for Graph Classification. ASONAM (2023)
Stuart Jamieson, Matthew Forshaw
On Improving Streaming System Autoscaler Behaviour using Windowing and Weighting Methods. DEBS (2023)
Mehmet Cengiz, Matthew Forshaw, Amir Atapour-Abarghouei, Andrew Stephen McGough
Predicting the Performance of a Computing System with Deep Networks. CoRR (2023)
Mehmet Cengiz, Matthew Forshaw, Amir Atapour-Abarghouei, Andrew Stephen McGough
Predicting the Performance of a Computing System with Deep Networks. ICPE (2023)
Osman Akbulut, Lucy McLaughlin, Tong Xin, Matthew Forshaw, Nicolas S. Holliman
Visualizing ordered bivariate data on node-link diagrams. Vis. Informatics 7 (3) (2023)
Paul Omoregbee, Matthew Forshaw, Nigel Thomas
A State-Size Inclusive Approach to Optimizing Stream Processing Applications. EPEW (2023)
Alexander J. M. Kell, A. Stephen McGough, Matthew Forshaw
Optimizing a domestic battery and solar photovoltaic system with deep reinforcement learning. Big Data (2022)
Andrew Stephen McGough, Matthew Forshaw
Analysis of Reinforcement Learning for determining task replication in workflows. CoRR (2022)
Antreas Kasiotis, Chinomnso Ekwedike, Matthew Forshaw
Towards Energy-Aware Management of Shared Printers. PASM (2022)
David Towers, Matthew Forshaw, Amir Atapour-Abarghouei, Andrew Stephen McGough
Long-term Reproducibility for Neural Architecture Search. CoRR (2022)
Andrew Stephen McGough, Matthew Forshaw
Analysis of Reinforcement Learning for Determining Task Replication in Workflows. EPEW (2022)
Alexander J. M. Kell, A. Stephen McGough, Matthew Forshaw
A systematic literature review on machine learning for electricity market agent-based models. Big Data (2022)
Paul Omoregbee, Matthew Forshaw
Performability Requirements in Making a Rescaling Decision for Streaming Applications. EPEW (2022)
Stuart Jamieson, Matthew Forshaw
Measuring Streaming System Robustness Using Non-parametric Goodness-of-Fit Tests. EPEW (2022)
Alexander J. M. Kell, A. Stephen McGough, Matthew Forshaw
Machine learning applications for electricity market agent-based models: A systematic literature review. CoRR (2022)
Alexander J. M. Kell, A. Stephen McGough, Matthew Forshaw
The impact of online machine-learning methods on long-term investment decisions and generator utilization in electricity markets. Sustain. Comput. Informatics Syst. 30 (2021)
Cahyadi, Matthew Forshaw
Hard Disk Failure Prediction on Highly Imbalanced Data using LSTM Network. IEEE BigData (2021)
Alexander J. M. Kell, A. Stephen McGough, Matthew Forshaw
Optimizing a domestic battery and solar photovoltaic system with deep reinforcement learning. CoRR (2021)
Alexander J. M. Kell, A. Stephen McGough, Matthew Forshaw
The impact of online machine-learning methods on long-term investment decisions and generator utilization in electricity markets. CoRR (2021)
Osama Nasser Alrajeh, Matthew Forshaw, Nigel Thomas
Using Virtual Machine live migration in trace-driven energy-aware simulation of high-throughput computing systems. Sustain. Comput. Informatics Syst. 29 (Part) (2021)
Alexander J. M. Kell, Matthew Forshaw, A. Stephen McGough
Long-term electricity market agent based model validation using genetic algorithm based optimization. CoRR (2020)
Alexander J. M. Kell, A. Stephen McGough, Matthew Forshaw
Optimizing carbon tax for decentralized electricity markets using an agent-based model. e-Energy (2020)
Alexander J. M. Kell, Matthew Forshaw, A. Stephen McGough
Exploring market power using deep reinforcement learning for intelligent bidding strategies. IEEE BigData (2020)
Alexander J. M. Kell, Matthew Forshaw, A. Stephen McGough
Exploring market power using deep reinforcement learning for intelligent bidding strategies. CoRR (2020)
Alexander J. M. Kell, Matthew Forshaw, A. Stephen McGough
Long-term electricity market agent based model validation using genetic algorithm based optimization. e-Energy (2020)
Alexander J. M. Kell, A. Stephen McGough, Matthew Forshaw
Optimizing carbon tax for decentralized electricity markets using an agent-based model. CoRR (2020)
Alexander J. M. Kell, Matthew Forshaw, A. Stephen McGough
Modelling Carbon Tax in the UK Electricity Market using an Agent-Based Model. e-Energy (2019)
Andharini D. Cahyani, Lindsay Marshall, Matthew Forshaw
Students' Perception on Data Sources from Outside Virtual Learning Environment for Learning Analytics. ICETC (2019)
Alexander J. M. Kell, Matthew Forshaw, A. Stephen McGough
ElecSim: Monte-Carlo Open-Source Agent-Based Model to Inform Policy for Long-Term Electricity Planning. e-Energy (2019)
Matthew Forshaw, Marco Gribaudo, William J. Knottenbelt, Nigel Thomas
Preface. PASM (2019)
Alexander J. M. Kell, Matthew Forshaw, A. Stephen McGough
ElecSim: Monte-Carlo Open-Source Agent-Based Model to Inform Policy for Long-Term Electricity Planning. CoRR (2019)
Alexander J. M. Kell, Matthew Forshaw, A. Stephen McGough
Optimising energy and overhead for large parameter space simulations. CoRR (2019)
Alexander J. M. Kell, Matthew Forshaw, A. Stephen McGough
Optimising energy and overhead for large parameter space simulations. IGSC (2019)
A. Stephen McGough, Matthew Forshaw, John Brennan, Noura Al Moubayed, Stephen Bonner
Using Machine Learning to reduce the energy wasted in Volunteer Computing Environments. CoRR (2018)
Matthew Forshaw, William J. Knottenbelt, Nigel Thomas, Katinka Wolter
Preface. Electron. Notes Theor. Comput. Sci. 337 (2018)
A. Stephen McGough, Matthew Forshaw, John Brennan, Noura Al Moubayed, Stephen Bonner
Using Machine Learning to reduce the energy wasted in Volunteer Computing Environments. IGSC (2018)
A. Stephen McGough, Matthew Forshaw
Introduction to special issue on Energy-Aware Simulation and Modelling (ENERGY-SIM). Sustain. Comput. Informatics Syst. 18 (2018)
Alexander J. M. Kell, A. Stephen McGough, Matthew Forshaw
Segmenting Residential Smart Meter Data for Short-Term Load Forecasting. e-Energy (2018)
Vasiliki Kalavri, John Liagouris, Moritz Hoffmann, Desislava C. Dimitrova, Matthew Forshaw, Timothy Roscoe
Three steps is all you need: fast, accurate, automatic scaling decisions for distributed streaming dataflows. OSDI (2018)
A. Stephen McGough, Matthew Forshaw
Evaluation of Energy Consumption of Replicated Tasks in a Volunteer Computing Environment. ICPE Companion (2018)
Adam Cattermole, Matthew Forshaw
An Automated Approach to Cloud Performance Benchmarking. Electron. Notes Theor. Comput. Sci. 340 (2018)
Osama Nasser Alrajeh, Matthew Forshaw, Andrew Stephen McGough, Nigel Thomas
Simulation of Virtual Machine Live Migration in High Throughput Computing Environments. DS-RT (2018)
Saleh Mohamed, Matthew Forshaw, Nigel Thomas, Andrew Dinn
Performance and Dependability Evaluation of Distributed Event-based Systems: A Dynamic Code-injection Approach. ICPE (2017)
A. Stephen McGough, Noura Al Moubayed, Matthew Forshaw
Using Machine Learning in Trace-driven Energy-Aware Simulations of High-Throughput Computing Systems. ICPE Companion (2017)
Aad P. A. van Moorsel, Matthew Forshaw, Francisco Rocha
Experience Report: How to Design Web-Based Competitions for Legal Proceedings: Lessons from a Court Case. ISSRE (2017)
James Allen, Matthew Forshaw, Nigel Thomas
Towards an Extensible and Scalable Energy Harvesting Wireless Sensor Network Simulation Framework. ICPE Companion (2017)
Osama Nasser Alrajeh, Matthew Forshaw, Nigel Thomas
Machine Learning Models for Predicting Timely Virtual Machine Live Migration. EPEW (2017)
Saleh Mohamed, Matthew Forshaw, Nigel Thomas
Automatic Generation of Distributed Run-Time Infrastructure for Internet of Things. ICSA Workshops (2017)
Kiavash Satvat, Matthew Forshaw, Feng Hao, Ehsan Toreini
Erratum to "On the Privacy of Private Browsing - A Forensic Approach" [JISA 19/1(2014), 88-100]. J. Inf. Secur. Appl. 33 (2017)
Matthew Forshaw, A. Stephen McGough, Nigel Thomas
HTC-Sim: a trace-driven simulation framework for energy consumption in high-throughput computing systems. Concurr. Comput. Pract. Exp. 28 (12) (2016)
Oonagh McGee, Matthew Forshaw, Barry Hodgson, Steve J. Caughey
Out of the Comfort Zone: Embedding Entrepreneurship in a Cohort of Computer Science Doctoral Students. ITiCSE (2016)
Matthew Forshaw, Ellis Solaiman, Oonagh McGee, Hugo Firth, Paul Robinson, Ryan Emerson
Meeting Graduate Employability Needs through Open-source Collaboration with Industry. SIGCSE (2016)
Jeremy T. Bradley, Matthew Forshaw, Anton Stefanek, Nigel Thomas
Time-inhomogeneous Population Models of a Cycle-Stealing Distributed System. Electron. Notes Theor. Comput. Sci. 318 (2015)
Thai Ha Nguyen, Matthew Forshaw, Nigel Thomas
Operating Policies for Energy Efficient Dynamic Server Allocation. Electron. Notes Theor. Comput. Sci. 318 (2015)
Matthew Forshaw, Andrew Stephen McGough, Nigel Thomas
Energy-efficient Checkpointing in High-throughput Cycle-stealing Distributed Systems. Electron. Notes Theor. Comput. Sci. 310 (2015)
Matthew Forshaw, A. Stephen McGough
Flipping the priority: effects of prioritising HTC jobs on energy consumption in a multi-use cluster. SimuTools (2015)
A. Stephen McGough, Matthew Forshaw
Energy-Aware Simulation of Workflow Execution in High Throughput Computing Systems. DS-RT (2015)
Kiavash Satvat, Matthew Forshaw, Feng Hao, Ehsan Toreini
On the privacy of private browsing - A forensic approach. J. Inf. Secur. Appl. 19 (1) (2014)
Andrew Stephen McGough, Matthew Forshaw, Clive Gerrard, Stuart Wheater, Ben Allen, Paul Robinson
Comparison of a cost-effective virtual cloud cluster with an existing campus cluster. Future Gener. Comput. Syst. 41 (2014)
Matthew Forshaw, Nigel Thomas, A. Stephen McGough
Trace-Driven Simulation for Energy Consumption in High Throughput Computing Systems. DS-RT (2014)
A. Stephen McGough, Matthew Forshaw
Reduction of wasted energy in a volunteer computing system through Reinforcement Learning. Sustain. Comput. Informatics Syst. 4 (4) (2014)
Matthew Forshaw, Andrew Stephen McGough, Nigel Thomas
On Energy-efficient Checkpointing in High-throughput Cycle-stealing Distributed Systems. SMARTGREENS (2014)
Kiavash Satvat, Matthew Forshaw, Feng Hao, Ehsan Toreini
On the Privacy of Private Browsing - A Forensic Approach. DPM/SETOP (2013)
Andrew Stephen McGough, Matthew Forshaw, Clive Gerrard, Paul Robinson, Stuart Wheater
Analysis of power-saving techniques over a large multi-use cluster with variable workload. Concurr. Comput. Pract. Exp. 25 (18) (2013)
Andrew Stephen McGough, Matthew Forshaw, Clive Gerrard, Stuart Wheater
Reducing the Number of Miscreant Tasks Executions in a Multi-use Cluster. CGC (2012)
Matthew Forshaw, Nigel Thomas
A Novel Approach to Energy Efficient Content Distribution with BitTorrent. EPEW/UKPEW (2012)