PeaGlyph: Glyph design for investigation of balanced data structures | 0 | 0.34 | 2022 |
Temporal Neighbourhood Aggregation: Predicting Future Links In Temporal Graphs Via Recurrent Variational Graph Convolutions | 0 | 0.34 | 2019 |
A King'S Ransom For Encryption: Ransomware Classification Using Augmented One-Shot Learning And Bayesian Approximation | 0 | 0.34 | 2019 |
Simulation of Virtual Machine Live Migration in High Throughput Computing Environments. | 0 | 0.34 | 2018 |
Introduction to special issue on Energy-Aware Simulation and Modelling (ENERGY-SIM) | 0 | 0.34 | 2018 |
Exploring the Semantic Content of Unsupervised Graph Embeddings: An Empirical Study. | 8 | 0.46 | 2018 |
Deep Topology Classification: A New Approach For Massive Graph Classification | 1 | 0.35 | 2016 |
Gfp-X: A Parallel Approach To Massive Graph Comparison Using Spark | 2 | 0.36 | 2016 |
HTC-Sim: a trace-driven simulation framework for energy consumption in high-throughput computing systems. | 5 | 0.49 | 2016 |
Data quality assessment and anomaly detection via map/reduce and linked data: A case study in the medical domain | 2 | 0.37 | 2015 |
Ben-ware: Identifying Anomalous Human Behaviour in Heterogeneous Systems Using Beneficial Intelligent Software. | 0 | 0.34 | 2015 |
Insider Threats: Identifying Anomalous Human Behaviour in Heterogeneous Systems Using Beneficial Intelligent Software (Ben-ware) | 1 | 0.36 | 2015 |
Optimal Hiring of Cloud Servers. | 1 | 0.38 | 2014 |
Trace-Driven Simulation for Energy Consumption in High Throughput Computing Systems | 5 | 0.45 | 2014 |
Comparison of a cost-effective virtual cloud cluster with an existing campus cluster. | 5 | 0.45 | 2014 |
Analysis of power-saving techniques over a large multi-use cluster with variable workload. | 5 | 0.45 | 2013 |
Flood modelling for cities using Cloud computing | 11 | 0.85 | 2013 |
GRIDCC: real-time workflow system | 6 | 0.48 | 2007 |
A Profitable Broker in a Volatile Utility Grid | 0 | 0.34 | 2006 |
QoS Support For Workflows In A Volatile Grid | 7 | 0.58 | 2006 |
An End-to-end Workflow Pipeline for Large-scale Grid Computing | 11 | 0.72 | 2005 |
Making the Grid Predictable through Reservations and Performance Modelling | 35 | 2.07 | 2005 |