Stebėti
Matthew Forshaw
Matthew Forshaw
Reader in Data Science, Newcastle University, and Senior Advisor, The Alan Turing Institute
Patvirtintas el. paštas ncl.ac.uk - Pagrindinis puslapis
Pavadinimas
Cituota
Cituota
Metai
Three steps is all you need: fast, accurate, automatic scaling decisions for distributed streaming dataflows
V Kalavri, J Liagouris, M Hoffmann, D Dimitrova, M Forshaw, T Roscoe
13th {USENIX} Symposium on Operating Systems Design and Implementation …, 2018
1722018
On the Privacy of Private Browsing - A Forensic Approach
K Satvat, M Forshaw, F Hao, E Toreini
Journal of Information Security and Applications 19 (1), 88-100, 2014
732014
Comparison of a cost-effective virtual cloud cluster with an existing campus cluster
AS McGough, M Forshaw, C Gerrard, S Wheater, B Allen, P Robinson
Future Generation Computer Systems 41, 65-78, 2014
432014
Segmenting Residential Smart Meter Data for Short-Term Load Forecasting
A Kell, AS McGough, M Forshaw
Proceedings of the Ninth International Conference on Future Energy Systems …, 2018
402018
Energy-efficient checkpointing in high-throughput cycle-stealing distributed systems
M Forshaw, AS McGough, N Thomas
Electronic Notes in Theoretical Computer Science 310, 65-90, 2015
202015
On Energy-efficient Checkpointing in High-throughput Cycle-stealing Distributed Systems
M Forshaw, AS McGough, N Thomas
3rd International Conference on Smart Grids and Green IT Systems …, 2014
202014
Performance and Dependability evaluation of distributed event-based systems: a dynamic code-injection approach
S Mohamed, M Forshaw, N Thomas, A Dinn
8th ACM/SPEC International Conference on Performance Engineering (ICPE), 2017
162017
Hybrid Intelligent Control System for Adaptive Microgrid Optimization: Integration of Rule-Based Control and Deep Learning Techniques
O Akbulut, M Cavus, M Cengiz, A Allahham, D Giaouris, M Forshaw
Energies 17 (10), 2260, 2024
152024
Long-term electricity market agent based model validation using genetic algorithm based optimization
AJM Kell, M Forshaw, AS McGough
Proceedings of the Eleventh ACM International Conference on Future Energy …, 2020
152020
Operating policies for energy efficient dynamic server allocation
TH Nguyen, M Forshaw, N Thomas
30th Annual UK Performance Engineering Workshop (UKPEW 2014), 2014
152014
Analysis of power‐saving techniques over a large multi‐use cluster with variable workload
AS McGough, M Forshaw, C Gerrard, P Robinson, S Wheater
Concurrency and Computation: Practice and Experience 25 (18), 2501-2522, 2013
152013
Using Virtual Machine live migration in trace-driven energy-aware simulation of high-throughput computing systems
O Alrajeh, M Forshaw, N Thomas
Sustainable Computing: Informatics and Systems 29, 100468, 2021
142021
HTC‐Sim: a trace‐driven simulation framework for energy consumption in high‐throughput computing systems
M Forshaw, AS McGough, N Thomas
Concurrency and Computation: Practice and Experience 28 (12), 3260-3290, 2016
142016
Reduction of wasted energy in a volunteer computing system through reinforcement learning
AS McGough, M Forshaw
Sustainable Computing: Informatics and Systems 4 (4), 262-275, 2014
142014
ElecSim: Monte-Carlo Open-Source Agent-Based Model to Inform Policy for Long-Term Electricity Planning
A Kell, M Forshaw, AS McGough
Proceedings of the Tenth ACM International Conference on Future Energy …, 2019
132019
Predicting the Performance of a Computing System with Deep Networks
M Cengiz, M Forshaw, A Atapour-Abarghouei, AS McGough
Proceedings of the 2023 ACM/SPEC International Conference on Performance …, 2023
122023
Machine learning applications for electricity market agent-based models: A systematic literature review
AJM Kell, S McGough, M Forshaw
arXiv preprint arXiv:2206.02196, 2022
122022
The impact of online machine-learning methods on long-term investment decisions and generator utilization in electricity markets
AJM Kell, AS McGough, M Forshaw
Sustainable Computing: Informatics and Systems 30, 100532, 2021
112021
Using Machine Learning to reduce the energy wasted in Volunteer Computing Environments
AS McGough, M Forshaw, J Brennan, N Al Moubayed, S Bonner
2018 Ninth International Green and Sustainable Computing Conference (IGSC), 1-8, 2018
112018
Machine learning models for predicting timely virtual machine live migration
O Alrajeh, M Forshaw, N Thomas
European Performance Engineering Workshop, 2017
112017
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Straipsniai 1–20