| An experimental performance evaluation of autoscaling policies for complex workflows A Ilyushkin, A Ali-Eldin, N Herbst, AV Papadopoulos, B Ghit, D Epema, ... Proceedings of the 8th ACM/SPEC on International Conference on Performance …, 2017 | 76 | 2017 |
| Balanced Resource Allocations Across Multiple Dynamic MapReduce Clusters B Ghit, N Yigitbasi, A Iosup, D Epema ACM SIGMETRICS, 2014 | 45 | 2014 |
| Epidemic-style global load monitoring in large-scale overlay networks B Ghit, F Pop, V Cristea 2010 International Conference on P2P, Parallel, Grid, Cloud and Internet …, 2010 | 31 | 2010 |
| The btworld use case for big data analytics: Description, mapreduce logical workflow, and empirical evaluation T Hegeman, B Ghiţ, M Capotă, J Hidders, D Epema, A Iosup IEEE International Conference on Big Data, 622-630, 2013 | 24 | 2013 |
| Scheduling workloads of workflows with unknown task runtimes A Ilyushkin, B Ghit, D Epema IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing …, 2015 | 23 | 2015 |
| Resource management for dynamic mapreduce clusters in multicluster systems B Ghit, N Yigitbasi, D Epema 2012 SC Companion: High Performance Computing, Networking Storage and …, 2012 | 22 | 2012 |
| Better safe than sorry: Grappling with failures of in-memory data analytics frameworks B Ghit, D Epema Proceedings of the 26th International Symposium on High-Performance Parallel …, 2017 | 21 | 2017 |
| Towards an optimized big data processing system B Ghit, A Iosup, D Epema IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing …, 2013 | 19 | 2013 |
| EdgeFrame: Worst-case optimal joins for graph-pattern matching in spark P Fuchs, P Boncz, B Ghit Proceedings of the 3rd joint international workshop on graph data management …, 2020 | 12 | 2020 |
| Sparkfuzz: searching correctness regressions in modern query engines B Ghit, N Poggi, J Rosen, R Xin, P Boncz Proceedings of the workshop on Testing Database Systems, 1-6, 2020 | 11 | 2020 |
| Using bio-inspired models to design peer-to-peer overlays B Ghit, F Pop, V Cristea 2011 International Conference on P2P, Parallel, Grid, Cloud and Internet …, 2011 | 11 | 2011 |
| Tyrex: Size-based Resource Allocation in MapReduce Frameworks B Ghit, D Epema IEEE/ACM Symp. on Cluster, Cloud, and Grid Computing, 2016 | 10 | 2016 |
| KOALA-C: A task allocator for integrated multicluster and multicloud environments L Fei, B Ghiţ, A Iosup, D Epema IEEE International Conference on Cluster Computing (CLUSTER), 57-65, 2014 | 10 | 2014 |
| Bid advising in resource allocation data analytics frameworks BI Ghit, AN Tantawi US Patent 10,719,872, 2020 | 7 | 2020 |
| Low-Latency Spark Queries on Updatable Data A Uta, B Ghit, A Dave, P Boncz Proceedings of the 2019 International Conference on Management of Data, 2009 …, 2019 | 7 | 2019 |
| V for Vicissitude: The Challenge of Scaling Complex Big Data Workflows B Ghit, M Capotă, T Hegeman, J Hidders, D Epema, A Iosup CCGrid SCALE Challege Winner, 2014 | 7 | 2014 |
| Distributed agent platform with intrusion detection capabilities B Ghit, O Voicu, F Pop, V Cristea 2009 International Conference on Intelligent Networking and Collaborative …, 2009 | 6 | 2009 |
| Reducing Job Slowdown Variability for Data-Intensive Workloads B Ghit, D Epema IEEE International Symposium on Modeling, Analysis and Simulation of …, 2015 | 5 | 2015 |
| Which Cloud Auto-Scaler Should I Use for my Application?: Benchmarking Auto-Scaling Algorithms A Ali-Eldin, A Ilyushkin, B Ghit, NR Herbst, A Papadopoulos, A Iosup ACM/SPEC on International Conference on Performance Engineering, 131-132, 2016 | 4 | 2016 |
| In-Memory Indexed Caching for Distributed Data Processing A Uta, B Ghit, A Dave, J Rellermeyer, P Boncz 2022 IEEE International Parallel and Distributed Processing Symposium (IPDPS …, 2022 | 1 | 2022 |
Dick EpemaProfessor of Computer Science, Delft University of TechnologyVerified email at tudelft.nl
