INforE-Reference-Cited by-同舟云学术

INforE

Published:2020-10-19 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 29th ACM International Conference on Information & Knowledge Management
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Author:

Giatrakos Nikos¹,Arnu David²,Bitsakis Theodoros¹,Deligiannakis Antonios¹,Garofalakis Minos¹,Klinkenberg Ralf²,Konidaris Aris¹,Kontaxakis Antonis¹,Kotidis Yannis³,Samoladas Vasilis¹,Simitsis Alkis¹,Stamatakis George¹,Temme Fabian²,Torok Mate²,Yaqub Edwin²,Montagud Arnau⁴,Ponce de León Miguel⁴,Arndt Holger⁵,Burkard Stefan⁵

Affiliation:

1. Athena Research Center & Technical University of Crete, Maroussi, Athens, Greece

2. RapidMiner GmbH, Dortmund, Germany

3. Athens University of Economics and Business & Athena Research Center, Athens, Greece

4. Barcelona Supercomputing Center, Barcelona, Spain

5. Spring Techno GmbH & Co. KG, Bremen, Germany

Funder

Horizon 2020 Framework Programme

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3340531.3417435

Reference17 articles.

1. O. Alipourfard H. Liu J. Chen S. Venkataraman M. Yu and M. Zhang. 2017. CherryPick: Adaptively Unearthing the Best Cloud Configurations for Big Data Analytics. In NSDI. O. Alipourfard H. Liu J. Chen S. Venkataraman M. Yu and M. Zhang. 2017. CherryPick: Adaptively Unearthing the Best Cloud Configurations for Big Data Analytics. In NSDI.

2. A. Benczúr L. Kocsis and R. Pálovics. 2018. Online machine learning in big data streams. arXiv:1802.05872 (2018). A. Benczúr L. Kocsis and R. Pálovics. 2018. Online machine learning in big data streams. arXiv:1802.05872 (2018).

3. J. Cumbers. 201

4. K. Doka N. Papailiou D. Tsoumakos C. Mantas and N. Koziris. 2015. IReS: Intelligent Multi-Engine Resource Scheduler for Big Data Analytics Workflows. In SIGMOD. K. Doka N. Papailiou D. Tsoumakos C. Mantas and N. Koziris. 2015. IReS: Intelligent Multi-Engine Resource Scheduler for Big Data Analytics Workflows. In SIGMOD.

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