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<title>dr. Alexandru Uta, Faculty of Sciences, Universiteit Leiden</title> <script src="https://www.w3counter.com/tracker.js?id=111056"></script>
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Alexandru Uta
News Info Grants Awards Service Education Publications
dr. Alexandru Uta
LIACS, Leiden University
Snellius building
Niels Bohrweg 1
2333 CA Leiden
The Netherlands

Email: [email protected]

Room no.: 138

Google Scholar

Recent News

  1. Since November 2020, I am also an Amazon Visiting Academic.

  2. I have been awarded an NWO VENI grant on my project "Practical Performance Reproducibility in Cloud Systems Research" for €250,000.

  3. Our paper on collecting traces from the SURFsara clusters has been published in USENIX ;login: magazine. The dataset we open-sourced can be found in our Zenodo repository. Many Thanks SURFsara and VU for the collaboration.

  4. Our paper on running reproducible big data experiments in clouds has been accepted and presented at NSDI in Feb 2020. Slides can be found here. Many thanks to the teams at U of Utah and UC Santa Cruz for the help.

General Information

I am an assistant professor at LIACS, Leiden University, working in the Computer Systems group led by prof.dr. Harry Wijshoff.

I work on distributed systems infrastructure: from designing reproducible experiments, to understanding and evaluating performance, as well on designing efficient infrastructure. My lines of work are: 1. reproducible performance evaluation for large-scale distributed computer systems; 2. resource management of serverless, FaaS and microservice platforms; 3. efficient infrastructure for big data processing frameworks; 4. converged infrastructure for HPC, big data and ML platforms.

Previously, I was a postdoctoral researcher in the Computer Systems Section at the Department of Computer Science of the Vrije Universiteit Amsterdam. Currently, I am a guest researcher in the Massivizing Computer Systemsa Group, led by prof.dr.ir. Alexandru Iosup.

In the summer of 2019, I was a research visitor in the Flux Research Group at the University of Utah, working closely with dr. Robert Ricci.

In the summer of 2017, I worked as a research-intern at Databricks, where I designed and implemented a distributed index on Spark in collaboration with prof.dr. Peter Boncz.

Previously, I briefly worked as a postdoctoral researcher under the supervision of prof.dr.ir. Henri Bal on scalable IoT infrastructures.

In March 2017, I received my PhD from the Vrije Universiteit on Optimizing the Execution of Many-Task Computing Applications Using In-Memory Distributed File Systems", under the supervision of Dr.-Ing. habil. Thilo Kielmann and prof.dr.ir. Henri Bal.

In 2012, I graduated my MSc with honors ("cum laudae") in high-performance distributed computing at Vrije Universiteit Amsterdam, with a thesis on GPU-accelerated video encoding, under the supervision of dr. Frank Seinstra.

I received my BSc diploma in 2009 in my home country, Romania, at the University of Bucharest, Faculty of Mathematics and Computer Science.

Please drop me a line if you want to collaborate or want to do a BSc or MSc project under my supervision. For more information on the kind of projects I supervise, please see my Projects or Publications.

Grants

  1. NWO VENI - PI, Practical Performance Reproducibility in Cloud Systems Research -- €250,000. Project on studying how to achieve reproducible performance when running experiments in clouds.

  2. SURFsara, 2019-2020 - PI, DLPerf, Pilot Project for 500K Cartesius Cluster hours. Project on studying the performance bottlenecks of Deep-Learning Workloads.

  3. SURFsara, 2019 - PI, Granular Graph Processing, 50K compute hours for usage in the SURFsara HPCCloud; Project on assessing the impact of FaaS and Serverless paradigms on Graph Analytics.

  4. Google, 2018 - PI, Granular Graph Processing, $5,000 grant for usage in the Google Cloud. Project on assessing the impact of FaaS and Serverless paradigms on Graph Analytics.

  5. SURFsara, 2018 - PI, BDCloudVar, 70K compute hours in the SURFsara cloud. Project on studying the effects of performance variability on Big Data workloads.

  6. NWO, 2017-2018 - PI, HPGraph, Pilot Project for 500K Cartesius Cluster hours. Project on studying the HPC and Big Data convergence.

  7. Intel, 2017-2018 - PI, Intel gift for unlimited use of an Intel KNL cluster of 256 nodes.

Awards

Best paper award IEEE IUCC conference2017
Best e-Science Service or Project, IEEE eScience conference2015
IEEE TCSC CCGrid Scale Challenge Finalist2015
Best poster award, IEEE CLUSTER conference2014

Service

Conference/Workshop Organization

Co-ChairHotCloudPerf4th Workshop on Hot Topics in Cloud Computing2021
Co-ChairHotCloudPerf3rd Workshop on Hot Topics in Cloud Computing2020
Junior Program ChairISPDCInternational Symposium on Parallel and Distributed Computing2019
Co-ChairCCIW1st Workshop on Converged Computing Infrastructure2019
Co-ChairHotCloudPerfWorkshop on Hot Topics in Cloud Computing2019

Program Committee Member

SCAD/AE track: Intl. Conf. for High-Performance Computing, Networking, Storage, and Analysis2020
LODInternational Conference on Machine Learning, Optimization, and Data Science2020
CPS-IoTBenchWorkshop on Benchmarking Cyber-Physical Systems and Internet of Things2020
ICPEInternational Conference on Performance Engineering2020, 2021
CCGridInternational Symposium on Cluster, Cloud and Grid Computing2019, 2020
CLUSTERInternational Conference on Cluster Computing2019
EuroParEuropean Conference on Parallel and Distributed Computing2019
HotCloudPerfWorkshop on Hot Topics in Cloud Computing2018-2020
SCRAMBLWorkshop on Scalable Computing For Real-Time Big Data Applications2017, 2019
EuroSysEuropean Conference on Computer Systems, shadow PC2017

Journal Reviewer

ACM ToCSTransactions on Computer Systems2020-ongoing
IEEE TPDSTransactions on Parallel and Distributed Systems2018-ongoing
IEEE ToSETransactions on Software Engineering2018-ongoing
IEEE AccessThe Multidisciplinary Open Access Journal2018-ongoing
Elsevier FGCSFuture Generation Computer Systems2015-ongoing

External Reviewer

IPDPSInternational Parallel & Distributed Processing Symposium2018
CCGridInternational Symposium on Cluster, Cloud and Grid Computing2018
ICPPInternational Conference on Parallel Processing2017
CLUSTERInternational Conference on Cluster Computing2014

Education

Teacher

Leiden University: MSc Distributed Data Processing Systems2020-present
Leiden University: BSc Compiler Construction2020-present

Co-Teacher

VU Amsterdam: BSc Systems Architecture2017-2019
VU Amsterdam: MSc Distributed Systems2017-2019
VU Amsterdam: BSc Research-first Honors Program2018-2019

Teaching Assistant

MSc Distributed Systems2016
MSc Large-scale Computing Infrastructure2014-2016
MSc Internet Programming2015
MSc Cluster and Grid Computing2013
MSc Computer Graphics2012

Publications

  1. Yuxuan Zhao, Dmitry Duplyakin, Robert Ricci, Alexandru Uta: Cloud Performance Variability Prediction. In HotCloudPerf 2021, co-located with ICPE, Rennes, France.

  2. Alexandru Uta, Kristian Laursen, Alexandru Iosup, Paul Melis, Damian Podareanu, Valeriu Codreanu: Beneath the SURFace: An MRI-like View into the Life of a 21st-Century Datacenter. login Usenix Mag. 45(3), 2020.

  3. Dmitry Duplyakin, Alexandru Uta, Aleksander Maricq, Robert Ricci: In Datacenter Performance, The Only Constant Is Change. 2020, The 20th IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing (CCGrid), May 11-14, Melbourne, Australia.

  4. Alexandru Uta, Alexandru Custura, Dmitry Duplyakin, Ivo Jimenez, Jan Rellermeyer, Carlos Maltzahn, Robert Ricci, Alexandru Iosup: Is Big Data Performance Reproducible In Modern Cloud Networks?, 2020, USENIX Networked Systems Design and Implementation (NSDI), February 25-27, Santa Clara, USA.

  5. Ahmed Musaafir, Henk Dreuning, Alexandru Uta, Ana Varbanescu: A Sampling-Based Tool for Scaling Graph Datasets, 2020, ACM International Conference on Performance Engineering (ICPE), 20-25 April, Edmonton, Canada.

  6. Roshan Bharath-Das, Marc X. Makkes, Alexandru Uta, Lin Wang, Henri Bal: A Programming Environment for Heterogeneous Stream Analytics, 2019, IEEE International Conference on Big Data (IEEE BigData), December 9-12, Los Angeles, USA.

  7. Roshan Bharath-Das, Marc X. Makkes, Alexandru Uta, Lin Wang, Henri Bal: Aves: A Decision Engine for Energy-efficient Stream Analytics across Low-power Devices, 2019, IEEE International Conference on Big Data (IEEE BigData), December 9-12, Los Angeles, USA.

  8. Michel Cojocaru, Alexandru Uta, Ana-Maria Oprescu: MicroValid: A Validation Framework for Automatically Decomposed Microservices, 2019 11th IEEE International Conference on Cloud Computing (CloudCom), 11-13 December, Sydney, Australia.

  9. Dmitry Duplyakin, Alexandru Uta, Aleksander Maricq, and Robert Ricci: On Studying CPU Performance of CloudLab Hardware. Midscale Education and Research Infrastructure and Tools (MERIT), October 7, 2019, Chicago, USA.

  10. Alexandru Uta, Bogdan Ghit, Ankur Dave, Peter Boncz: [Demo] Low-latency Spark eries on Updatable Data, 2019 ACM SIGMOD International Conference on Management of Data, 1-5 July, Amsterdam, The Netherlands.

  11. Lucian Toader, Alexandru Uta, Alexandru Iosup: Graphless: Toward Serverless Graph Processing, 2019 IEEE International Symposium on Parallel and Distributed Computing (ISPDC), 5-7 June, Amsterdam, The Netherlands.

  12. Michel Cojocaru, Alexandru Uta, Ana-Maria Oprescu: Attributes Assessing the Quality of Microservices Automatically Decomposed from Monolithic Applications, 2019 IEEE International Symposium on Parallel and Distributed Computing (ISPDC), 5-7 June, Amsterdam, The Netherlands.

  13. Maria Voinea, Alexandru Uta, Alexandru Iosup: POSUM: A Portfolio Scheduler for MapReduce Workloads, 2018 IEEE International Conference on Big Data (IEEE BigData), December 10-13, Seattle, USA.

  14. Alexandru Uta, Ana Lucia Varbanescu, Ahmed Musaafir, Chris Lemaire, Alexandru Iosup: Exploring HPC and Big Data Convergence: a Graph Processing Study on Intel Knights Landing, 2018 IEEE International Conference on Cluster Computing (CLUSTER), September 2018, Belfast.

  15. Alexandru Uta, Sietse Au, Alexey Ilyushkin, Alexandru Iosup: Elasticity in Graph Analytics? A Benchmarking Framework for Elastic Graph Processing, 2018 IEEE International Conference on Cluster Computing (CLUSTER), September 2018, Belfast.

  16. Erwin van Eyk, Lucian Toader, Sacheendra Talluri, Laurens Versluis, Alexandru Uta, Alexandru Iosup: Serverless is More: From PaaS to Present Cloud Computing, IEEE Internet Computing, Sept, 2018.

  17. Alexandru Iosup, Alexandru Uta, Laurens Versluis, Georgios Andreadis, Erwin van Eyk, Tim Hegeman, Sacheendra Talluri, Vincent van Beek, Lucian Toader: Massivizing Computer Systems: a Vision to Understand, Design, and Engineer Computer Ecosystems through and beyond Modern Distributed Systems, ICDCS, Vienna, Austria, July 2-5, 2018.

  18. Alexandru Uta, Harry Obaseki: A Performance Study of Big Data Workloads in Cloud Datacenters with Network Variability, 1st Workshop on Hot Topics in Cloud Computing Performance, in conjuction with ICPE, 9 April 2018, Berlin.

  19. Sietse Au, Alexandru Uta, Alexey Ilyushkin, Alexandru Iosup: An Elasticity Study of Distributed Graph Processing, 18th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGrid), May 2018, Washington.

  20. Nicolae Vladimir Bozdog, Marc X. Makkes, Alexandru Uta, Roshan Bharath Das, Aart Van Halteren and Henri Bal: SenseLE: Exploiting Spatial Locality in Decentralized Sensing Environments, 16th IEEE International Conference on Ubiquitous Computing and Communications (IUCC 2017), Guangzhou, China, December 12-15, 2017 (best paper award)

  21. Marc X. Makkes, Alexandru Uta, Roshan Bharath Das, Vladimir Bozdog and Henri Bal: P2-SWAN: Real-time Privacy Preserving Computation for IoT Ecosystems, IEEE, 1st International Conference on Fog and Edge Computing (ICFEC 2017), May 2017, Madrid

  22. Alexandru Uta, Ove Danner, Cas van der Weegen, Ana-Maria Oprescu, Andreea Sandu, Stefania Costache, Thilo Kielmann: MemEFS: A network-aware elastic in-memory runtime distributed file system, Future Generation Computer Systems, 2017, https://doi.org/10.1016/j.future.2017.03.017

  23. Alexandru Uta, Ana-Maria Oprescu, Thilo Kielmann: Towards Resource Disaggregation - Memory Scavenging for Scientific Workloads, 2016 IEEE International Conference on Cluster Computing (CLUSTER), September 2016, Taipei

  24. Alexandru Uta, Andreea Sandu, Stefania Costache, Thilo Kielmann: MemEFS: an elastic in-memory runtime file system for escience applications, 2015 IEEE 11th International Conference on e-Science (e-Science), August/September 2015, Munchen (best eScience service or project)

  25. Alexandru Uta, Andreea Sandu, Stefania Costache, Thilo Kielmann: Scalable In-Memory Computing, 2015 15th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGrid), May 2015, Shenzhen

  26. Alexandru Uta, Andreea Sandu, Thilo Kielmann: Overcoming data locality: An in-memory runtime file system with symmetrical data distribution, Future Generation Computer Systems, 2015, https://doi.org/10.1016/j.future.2015.01.013

  27. Alexandru Uta, Andreea Sandu, Thilo Kielmann: POSTER: MemFS: An in-memory runtime file system with symmetrical data distribution, 2014 IEEE International Conference on Cluster Computing (CLUSTER), September 2014, Madrid (best poster award)

  28. Alexandru Uta, Andreea Sandu, Ion Morozan, Thilo Kielmann: In-memory runtime file systems for many-task computing, International Workshop on Adaptive Resource Management and Scheduling for Cloud Computing, co-located with PODC 2014, Paris



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Alexandru Uta