Tim Hegeman

Ph.D. student, Vrije Universiteit Amsterdam
Project Lead Grade10 project
Tech Lead Graphalytics project

Research Focus
Identification and analysis of bottlenecks and performance issues for graph-processing systems/Long-term interest in big data systems

Contact

Links

Publications

Publications
  • Sherif Sakr,
  • Angela Bonifati,
  • Hannes Voigt,
  • Alexandru Iosup,
  • Khaled Ammar,
  • Renzo Angles,
  • Walid Aref,
  • Marcelo Arenas,
  • Maciej Besta,
  • Peter A. Boncz,
  • Khuzaima Daudjee,
  • Emanuele Della Valle,
  • Stefania Dumbrava,
  • Olaf Hartig,
  • Bernhard Haslhofer,
  • Tim Hegeman,
  • Jan Hidders,
  • Katja Hose,
  • Adriana Iamnitchi,
  • Vasiliki Kalavri,
  • Hugo Kapp,
  • Wim Martens,
  • M. Tamer Özsu,
  • Eric Peukert,
  • Stefan Plantikow,
  • Mohamed Ragab,
  • Matei R. Ripeanu,
  • Semih Salihoglu,
  • Christian Schulz,
  • Petra Selmer,
  • Juan F. Sequeda,
  • Joshua Shinavier,
  • Gábor Szárnyas,
  • Riccardo Tommasini,
  • Antonino Tumeo,
  • Alexandru Uta,
  • Ana Lucia Varbanescu,
  • Hsiang-Yun Wu,
  • Nikolay Yakovets,
  • Da Yan,
  • Eiko Yoneki
  • (2021)
The Future is Big Graphs: A Community View on Graph Processing Systems
Communications of the ACM, September 2021, Vol. 64 No. 9, Pages 62-71
GradeML: Towards Holistic Performance Analysis for Machine Learning Workflows
HotCloudPerf 2021
PDF
Grade10: A Framework for Performance Characterization of Distributed Graph Processing
IEEE International Conference on Cluster Computing (CLUSTER)
PDF
The Workflow Trace Archive: Open-Access Data from Public and Private Computing Infrastructures
IEEE Transactions on Parallel and Distributed Systems (TPDS) 2020
PDF
Massivizing Computer Systems: a Vision to Understand, Design, and Engineer Computer Ecosystems through and beyond Modern Distributed Systems
International Conference on Distributed Computing Systems 2018
PDF
Granula: Toward Fine-grained Performance Analysis of Large-scale Graph Processing Platforms.
GRADES@SIGMOD/PODS 2017: 8:1-8:6
PDF
Towards the Next Generation of Large-Scale Network Archives.
Euro-Par Workshops 2016: 571-579
PDF
LDBC Graphalytics: A Benchmark for Large-Scale Graph Analysis on Parallel and Distributed Platforms
PVLDB 9(13): 1317-1328 (2016)
V for Vicissitude: The Challenge of Scaling Complex Big Data Workflows
CCGRID 2014: 927-932
PDF
Mnemos: Self-Expressive Management of Business-Critical Workloads in Virtualized Datacenters
IEEE Computer 48(7): 46-54 (2015)
PDF
Towards Benchmarking IaaS and PaaS Clouds for Graph Analytics.
WBDB 2014: 109-131
PDF
The BTWorld use case for big data analytics: Description, MapReduce logical workflow, and empirical evaluation
2013, IEEE International Conference on Big Data (IEEE BigData)
PDF

Master Thesis
Experimental Performance Analysis of Graph Analytics Frameworks

Bachelor Thesis
Nebu: A topology-aware deployment system for reliable virtualized multi-cluster environments

Literature Survey
Survey of Graph Analysis Applications