Matthew Forshaw

According to our database1, Matthew Forshaw authored at least 52 papers between 2012 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Links

On csauthors.net:

Bibliography

2023
Visualizing ordered bivariate data on node-link diagrams.
Vis. Informatics, September, 2023

Predicting the Performance of a Computing System with Deep Networks.
Proceedings of the 2023 ACM/SPEC International Conference on Performance Engineering, 2023

A State-Size Inclusive Approach to Optimizing Stream Processing Applications.
Proceedings of the Computer Performance Engineering and Stochastic Modelling, 2023

On Improving Streaming System Autoscaler Behaviour using Windowing and Weighting Methods.
Proceedings of the 17th ACM International Conference on Distributed and Event-based Systems, 2023

2022
Long-term Reproducibility for Neural Architecture Search.
CoRR, 2022

Machine learning applications for electricity market agent-based models: A systematic literature review.
CoRR, 2022

Performability Requirements in Making a Rescaling Decision for Streaming Applications.
Proceedings of the Computer Performance Engineering - 18th European Workshop, 2022

Analysis of Reinforcement Learning for Determining Task Replication in Workflows.
Proceedings of the Computer Performance Engineering - 18th European Workshop, 2022

Measuring Streaming System Robustness Using Non-parametric Goodness-of-Fit Tests.
Proceedings of the Computer Performance Engineering - 18th European Workshop, 2022

A systematic literature review on machine learning for electricity market agent-based models.
Proceedings of the IEEE International Conference on Big Data, 2022

Optimizing a domestic battery and solar photovoltaic system with deep reinforcement learning.
Proceedings of the IEEE International Conference on Big Data, 2022

2021
The impact of online machine-learning methods on long-term investment decisions and generator utilization in electricity markets.
Sustain. Comput. Informatics Syst., 2021

Using Virtual Machine live migration in trace-driven energy-aware simulation of high-throughput computing systems.
Sustain. Comput. Informatics Syst., 2021

Hard Disk Failure Prediction on Highly Imbalanced Data using LSTM Network.
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

2020
Optimizing carbon tax for decentralized electricity markets using an agent-based model.
Proceedings of the e-Energy '20: The Eleventh ACM International Conference on Future Energy Systems, 2020

Long-term electricity market agent based model validation using genetic algorithm based optimization.
Proceedings of the e-Energy '20: The Eleventh ACM International Conference on Future Energy Systems, 2020

Exploring market power using deep reinforcement learning for intelligent bidding strategies.
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

2019
Preface.
Proceedings of the Tenth International Workshop on the Practical Application of Stochastic Modelling, 2019

Students' Perception on Data Sources from Outside Virtual Learning Environment for Learning Analytics.
Proceedings of the ICETC 2019, 2019

Optimising energy and overhead for large parameter space simulations.
Proceedings of the Tenth International Green and Sustainable Computing Conference, 2019

ElecSim: Monte-Carlo Open-Source Agent-Based Model to Inform Policy for Long-Term Electricity Planning.
Proceedings of the Tenth ACM International Conference on Future Energy Systems, 2019

Modelling Carbon Tax in the UK Electricity Market using an Agent-Based Model.
Proceedings of the Tenth ACM International Conference on Future Energy Systems, 2019

2018
Introduction to special issue on Energy-Aware Simulation and Modelling (ENERGY-SIM).
Sustain. Comput. Informatics Syst., 2018

Evaluation of Energy Consumption of Replicated Tasks in a Volunteer Computing Environment.
Proceedings of the Companion of the 2018 ACM/SPEC International Conference on Performance Engineering, 2018

Three steps is all you need: fast, accurate, automatic scaling decisions for distributed streaming dataflows.
Proceedings of the 13th USENIX Symposium on Operating Systems Design and Implementation, 2018

Using Machine Learning to reduce the energy wasted in Volunteer Computing Environments.
Proceedings of the Ninth International Green and Sustainable Computing Conference, 2018

Segmenting Residential Smart Meter Data for Short-Term Load Forecasting.
Proceedings of the Ninth International Conference on Future Energy Systems, 2018

Simulation of Virtual Machine Live Migration in High Throughput Computing Environments.
Proceedings of the 22nd IEEE/ACM International Symposium on Distributed Simulation and Real Time Applications, 2018

2017
Erratum to "On the Privacy of Private Browsing - A Forensic Approach" [JISA 19/1(2014), 88-100].
J. Inf. Secur. Appl., 2017

Preface.
Proceedings of the Ninth International Workshop on the Practical Application of Stochastic Modelling, 2017

An Automated Approach to Cloud Performance Benchmarking.
Proceedings of the thirty third Annual UK Performance Engineering Workshops, 2017

Performance and Dependability Evaluation of Distributed Event-based Systems: A Dynamic Code-injection Approach.
Proceedings of the 8th ACM/SPEC on International Conference on Performance Engineering, 2017

Using Machine Learning in Trace-driven Energy-Aware Simulations of High-Throughput Computing Systems.
Proceedings of the Companion Proceedings of the 8th ACM/SPEC on International Conference on Performance Engineering, 2017

Towards an Extensible and Scalable Energy Harvesting Wireless Sensor Network Simulation Framework.
Proceedings of the Companion Proceedings of the 8th ACM/SPEC on International Conference on Performance Engineering, 2017

Experience Report: How to Design Web-Based Competitions for Legal Proceedings: Lessons from a Court Case.
Proceedings of the 28th IEEE International Symposium on Software Reliability Engineering, 2017

Automatic Generation of Distributed Run-Time Infrastructure for Internet of Things.
Proceedings of the 2017 IEEE International Conference on Software Architecture Workshops, 2017

Machine Learning Models for Predicting Timely Virtual Machine Live Migration.
Proceedings of the Computer Performance Engineering - 14th European Workshop, 2017

2016
HTC-Sim: a trace-driven simulation framework for energy consumption in high-throughput computing systems.
Concurr. Comput. Pract. Exp., 2016

Meeting Graduate Employability Needs through Open-source Collaboration with Industry.
Proceedings of the 47th ACM Technical Symposium on Computing Science Education, 2016

Out of the Comfort Zone: Embedding Entrepreneurship in a Cohort of Computer Science Doctoral Students.
Proceedings of the 2016 ACM Conference on Innovation and Technology in Computer Science Education, 2016

2015
Flipping the priority: effects of prioritising HTC jobs on energy consumption in a multi-use cluster.
Proceedings of the 8th International Conference on Simulation Tools and Techniques, 2015

Energy-Aware Simulation of Workflow Execution in High Throughput Computing Systems.
Proceedings of the 19th IEEE/ACM International Symposium on Distributed Simulation and Real Time Applications, 2015

2014
Reduction of wasted energy in a volunteer computing system through Reinforcement Learning.
Sustain. Comput. Informatics Syst., 2014

On the privacy of private browsing - A forensic approach.
J. Inf. Secur. Appl., 2014

Comparison of a cost-effective virtual cloud cluster with an existing campus cluster.
Future Gener. Comput. Syst., 2014

Operating Policies for Energy Efficient Dynamic Server Allocation.
Proceedings of the Twenty-ninth and thirtieth Annual UK Performance Engineering Workshops, 2014

Energy-efficient Checkpointing in High-throughput Cycle-stealing Distributed Systems.
Proceedings of the Seventh International Workshop on the Practical Application of Stochastic Modelling, 2014

Time-inhomogeneous Population Models of a Cycle-Stealing Distributed System.
Proceedings of the Twenty-ninth and thirtieth Annual UK Performance Engineering Workshops, 2014

Trace-Driven Simulation for Energy Consumption in High Throughput Computing Systems.
Proceedings of the 18th IEEE/ACM International Symposium on Distributed Simulation and Real Time Applications, 2014

2013
Analysis of power-saving techniques over a large multi-use cluster with variable workload.
Concurr. Comput. Pract. Exp., 2013

2012
A Novel Approach to Energy Efficient Content Distribution with BitTorrent.
Proceedings of the Computer Performance Engineering - 9th European Workshop, 2012

Reducing the Number of Miscreant Tasks Executions in a Multi-use Cluster.
Proceedings of the 2012 Second International Conference on Cloud and Green Computing, 2012


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