Bogdan Ionut Ghit
Bogdan Ionut Ghit
Databricks Inc.
Verified email at - Homepage
Cited by
Cited by
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
Balanced Resource Allocations Across Multiple Dynamic MapReduce Clusters
B Ghit, N Yigitbasi, A Iosup, D Epema
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
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
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
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
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
Towards an optimized big data processing system
B Ghit, A Iosup, D Epema
IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing …, 2013
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
Tyrex: Size-based Resource Allocation in MapReduce Frameworks
B Ghit, D Epema
IEEE/ACM Symp. on Cluster, Cloud, and Grid Computing, 2016
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
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
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
Reducing Job Slowdown Variability for Data-Intensive Workloads
B Ghit, D Epema
IEEE International Symposium on Modeling, Analysis and Simulation of …, 2015
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
Distributed agent platform with intrusion detection capabilities
B Ghit, O Voicu, F Pop, V Cristea
2009 International Conference on Intelligent Networking and Collaborative …, 2009
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
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
An approximate bribe queueing model for bid advising in cloud spot markets
B Ghiț, A Tantawi
International Conference on Quantitative Evaluation of Systems, 186-194, 2021
Bid advising in resource allocation data analytics frameworks
BI Ghit, AN Tantawi
US Patent 10,719,872, 2020
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