56 citations · 167 across the 22 of their papers we have counts for
6 papers · 1 filter
RADS: Real-time Anomaly Detection System for Cloud Data Centres
Sakil Barbhuiya, Zafeirios Papazachos, Peter Kilpatrick +1
Cybersecurity attacks in Cloud data centres are increasing alongside the growth of the Cloud services market. Existing research proposes a number of anomaly detection systems for d…
DYVERSE: DYnamic VERtical Scaling in Multi-tenant Edge Environments
Nan Wang, Michail Matthaiou, Dimitrios S. Nikolopoulos +1
Multi-tenancy in resource-constrained environments is a key challenge in Edge computing. In this paper, we develop 'DYVERSE: DYnamic VERtical Scaling in Edge' environments, which i…
VEBO: A Vertex- and Edge-Balanced Ordering Heuristic to Load Balance Parallel Graph Processing
Jiawen Sun, Hans Vandierendonck, Dimitrios S. Nikolopoulos
Graph partitioning drives graph processing in distributed, disk-based and NUMA-aware systems. A commonly used partitioning goal is to balance the number of edges per partition in c…
Energy-efficient localised rollback after failures via data flow analysis
Kiril Dichev, Kirk Cameron, Dimitrios Nikolopoulos
Exascale systems will suffer failures hourly. HPC programmers rely mostly on application-level checkpoint and a global rollback to recover. In recent years, techniques reducing the…
TAPAS: Train-less Accuracy Predictor for Architecture Search
R. Istrate, F. Scheidegger, G. Mariani +3
In recent years an increasing number of researchers and practitioners have been suggesting algorithms for large-scale neural network architecture search: genetic algorithms, reinfo…
Incremental Training of Deep Convolutional Neural Networks
Roxana Istrate, Adelmo Cristiano Innocenza Malossi, Costas Bekas +1
We propose an incremental training method that partitions the original network into sub-networks, which are then gradually incorporated in the running network during the training p…