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Disambiguation of "Ren, Kai"

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Abstract: Hadoop's Adolescence; A Comparative Workloads Analysis from Three Research Clusters.

, , , , and . SC Companion, page 1452. IEEE Computer Society, (2012)

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To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

Weibo Ren University of Stuttgart

Univ. -Prof. Dr. -Ing. Kai Hufendiek University of Stuttgart

Kai Waldner University of Stuttgart

Dr. Florian Kaiser University of Stuttgart

Manuel Kaiser University of Stuttgart

 

Other publications of authors with the same name

Research on Real-Time Express Pick-Up Scheduling Based on ArcGIS and Weighted kNN Algorithm., , and . WISA, volume 11817 of Lecture Notes in Computer Science, page 582-588. Springer, (2019)Abstract: Hadoop's Adolescence; A Comparative Workloads Analysis from Three Research Clusters., , , , and . SC Companion, page 1452. IEEE Computer Society, (2012)PASTO: Strategic Parameter Optimization in Recommendation Systems - Probabilistic is Better than Deterministic., , , , , , , , , and 10 other author(s). CoRR, (2021)Identification of Hidden Objects in Layered Media With Shadow Projection Near-Field Microwave Imaging., and . IEEE Geosci. Remote. Sens. Lett., 15 (10): 1590-1594 (2018)SlimDB: A Space-Efficient Key-Value Storage Engine For Semi-Sorted Data., , , and . PVLDB, 10 (13): 2037-2048 (2017)IndexFS: Scaling File System Metadata Performance with Stateless Caching and Bulk Insertion., , , and . SC, page 237-248. IEEE, (2014)Geometric Parameter Estimation of Buried Objects in Near-Field Microwave Images., and . IEEE Geosci. Remote. Sens. Lett., (2022)BatchFS: scaling the file system control plane with client-funded metadata servers., , and . PDSW@SC, page 1-6. IEEE, (2014)A Case for Scaling HPC Metadata Performance through De-specialization., , and . SC Companion, page 30-35. IEEE Computer Society, (2012)DeltaFS: exascale file systems scale better without dedicated servers., , , , and . PDSW@SC, page 1-6. ACM, (2015)