Bogdan Ghit
Bogdan Ghit
Databricks
Verified email at databricks.com - Homepage
TitleCited byYear
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
382017
Balanced Resource Allocations Across Multiple Dynamic MapReduce Clusters
B Ghit, N Yigitbasi, A Iosup, D Epema
ACM SIGMETRICS, 2014
342014
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
252010
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
192012
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
182013
Towards an optimized big data processing system
B Ghit, A Iosup, D Epema
IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing …, 2013
122013
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
102015
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
102014
Fast downstream to many (computational) RFIDs
H Aantjes, AY Majid, P Pawełczak, J Tan, A Parks, JR Smith
IEEE INFOCOM 2017-IEEE Conference on Computer Communications, 1-9, 2017
92017
Tyrex: Size-based Resource Allocation in MapReduce Frameworks
B Ghit, D Epema
IEEE/ACM Symp. on Cluster, Cloud, and Grid Computing, 2016
82016
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
72011
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
62017
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
62014
Distributed agent platform with intrusion detection capabilities
B Ghit, O Voicu, F Pop, V Cristea
2009 International Conference on Intelligent Networking and Collaborative …, 2009
52009
Reducing Job Slowdown Variability for Data-Intensive Workloads
B Ghit, D Epema
IEEE International Symposium on Modeling, Analysis and Simulation of …, 2015
32015
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
22016
Intrusion Detection in Multi-Agent Systems
B Ghit, F Pop, V Cristea
Intelligent Networking, Collaborative Systems and Applications, 235-255, 2010
12010
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
2019
Bid advising in resource allocation data analytics frameworks
BI Ghit, AN Tantawi
US Patent App. 15/841,426, 2018
2018
Bid advising in resource allocation data analytics frameworks
BI Ghit, AN Tantawi
US Patent App. 15/402,719, 2018
2018
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