| Starfish: A self-tuning system for big data analytics. H Herodotou, H Lim, G Luo, N Borisov, L Dong, FB Cetin, S Babu Cidr 11 (2011), 261-272, 2011 | 1006 | 2011 |
| A survey on deep learning methods for power load and renewable energy forecasting in smart microgrids S Aslam, H Herodotou, SM Mohsin, N Javaid, N Ashraf, S Aslam Renewable and Sustainable Energy Reviews 144, 110992, 2021 | 682 | 2021 |
| Profiling, what-if analysis, and cost-based optimization of mapreduce programs H Herodotou, S Babu Proceedings of the VLDB Endowment 4 (11), 1111-1122, 2011 | 536 | 2011 |
| No one (cluster) size fits all: automatic cluster sizing for data-intensive analytics H Herodotou, F Dong, S Babu Proceedings of the 2nd ACM Symposium on Cloud Computing, 1-14, 2011 | 355 | 2011 |
| Internet of ships: A survey on architectures, emerging applications, and challenges S Aslam, MP Michaelides, H Herodotou IEEE Internet of Things journal 7 (10), 9714-9727, 2020 | 334 | 2020 |
| Hadoop performance models H Herodotou arXiv preprint arXiv:1106.0940, 2011 | 208 | 2011 |
| {PerfIso}: Performance isolation for commercial {Latency-Sensitive} services C Iorgulescu, R Azimi, Y Kwon, S Elnikety, M Syamala, V Narasayya, ... 2018 USENIX Annual Technical Conference (USENIX ATC 18), 519-532, 2018 | 173 | 2018 |
| A survey on automatic parameter tuning for big data processing systems H Herodotou, Y Chen, J Lu ACM Computing Surveys (CSUR) 53 (2), 1-37, 2020 | 132 | 2020 |
| Stubby: A transformation-based optimizer for mapreduce workflows H Lim, H Herodotou, S Babu arXiv preprint arXiv:1208.0082, 2012 | 123 | 2012 |
| Automatic generation control strategies in conventional and modern power systems: A comprehensive overview K Ullah, A Basit, Z Ullah, S Aslam, H Herodotou Energies 14 (9), 2376, 2021 | 120 | 2021 |
| Cost-based optimization of configuration parameters and cluster sizing for hadoop S Babu, H Herodotou US Patent 9,367,601, 2016 | 92 | 2016 |
| Query optimization techniques for partitioned tables H Herodotou, N Borisov, S Babu Proceedings of the 2011 ACM SIGMOD International Conference on Management of …, 2011 | 90 | 2011 |
| Massively Parallel Databases and MapReduce Systems S Babu, H Herodotou Foundations and Trends® in Databases 5, 1-104, 2013 | 89 | 2013 |
| OctopusFS: A distributed file system with tiered storage management E Kakoulli, H Herodotou Proceedings of the 2017 acm international conference on management of data …, 2017 | 80 | 2017 |
| Supporting digital content marketing and messaging through topic modelling and decision trees A Gregoriades, M Pampaka, H Herodotou, E Christodoulou Expert systems with applications 184, 115546, 2021 | 73 | 2021 |
| Speedup your analytics: Automatic parameter tuning for databases and big data systems J Lu, Y Chen, H Herodotou, S Babu Proceedings of the VLDB Endowment 12 (12), 1970-1973, 2019 | 73 | 2019 |
| RIOT: I/O-efficient numerical computing without SQL Y Zhang, H Herodotou, J Yang arXiv preprint arXiv:0909.1766, 2009 | 71 | 2009 |
| Mapreduce programming and cost-based optimization? crossing this chasm with starfish H Herodotou, F Dong, S Babu Proceedings of the VLDB Endowment 4 (12), 1446-1449, 2011 | 68 | 2011 |
| Modelling freshwater eutrophication with limited limnological data using artificial neural networks E Hadjisolomou, K Stefanidis, H Herodotou, M Michaelides, ... Water 13 (11), 1590, 2021 | 62 | 2021 |
| Automating Distributed Tiered Storage Management in Cluster Computing H Herodotou, K Elena Proceedings of the VLDB Endowment 13 (1), 43-56, 2019 | 58 | 2019 |
Sheraz Aslam, Ph.D. (Member IEEE)Cyprus University of TechnologyVerified email at cut.ac.cy
