| 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 | 205 | 2018 |
| 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 | 72 | 2014 |
| 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 | 44 | 2024 |
| 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 | 44 | 2014 |
| 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 | 43 | 2018 |
| 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 | 20 | 2015 |
| 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 | 20 | 2014 |
| 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 | 17 | 2020 |
| 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 | 17 | 2019 |
| 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 | 17 | 2017 |
| A systematic literature review on machine learning for electricity market agent-based models AJM Kell, AS McGough, M Forshaw 2022 IEEE International Conference on Big Data (Big Data), 4503-4512, 2022 | 15 | 2022 |
| 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 | 15 | 2014 |
| 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 | 15 | 2013 |
| 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 | 14 | 2023 |
| 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 | 14 | 2022 |
| 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 | 14 | 2021 |
| 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 | 14 | 2016 |
| Operating policies for energy efficient dynamic server allocation TH Nguyen, M Forshaw, N Thomas 30th Annual UK Performance Engineering Workshop (UKPEW 2014), 2014 | 14 | 2014 |
| Hard Disk Failure Prediction on Highly Imbalanced Data using LSTM Network M Forshaw 2021 IEEE International Conference on Big Data (Big Data), 3985-3991, 2021 | 13 | 2021 |
| 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 | 13 | 2021 |
A.S.McGoughNewcastle UniversityVerified email at newcastle.ac.uk
