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Netflix (United States)

United States

31 papers here2.2k citations across 31
fields
  • cs.IR8
  • cs.CV4
  • cs.LG3
  • stat.ML3
  • cs.SE2
  • astro-ph.EP1
  • astro-ph.GA1
  • astro-ph.HE1
ROR 0197qw696OpenAlex

affiliations via OpenAlex

output
20122025
most citedMLlib: Machine Learning in Apache Spark

961 citations

researchers with a paper here
  • Nathan Kallus2 profiles5 · h 10
  • Aurélien F. Bibaut4 · h 11
  • Harald Steck2 profiles4 · h 27
  • A. Chambaz3 · h 17
  • A. Bigley2 · h 9
  • A. Filippenko2 · h 143
  • Ali Basiri2 · h 7
  • A. Wilkins2 · h 3
  • Benjamin T. Jeffers2 · h 7
  • B. Stahl2 · h 15
  • Byung Yun Choi2 · h 2
  • Casey Rosenthal2 · h 5
collaborating institutions
  • Cornell UniversityUS5 papers
  • University of California, BerkeleyUS4 papers
  • Google (United States)US3 papers
  • Princeton UniversityUS3 papers
  • Stanford UniversityUS3 papers
  • Université Paris CitéFR3 papers
  • California Institute of TechnologyUS2 papers
  • Florida State UniversityUS2 papers
  • Guangxi UniversityCN2 papers
  • Jet Propulsion LaboratoryUS2 papers
  • Lawrence Berkeley National LaboratoryUS2 papers
  • Mathématiques Appliquées à Paris 5FR2 papers
Showing cs.SEShow all

2 papers · 1 filter

cs.SE2017★ 25 cited

A Platform for Automating Chaos Experiments

Ali Basiri, Aaron Blohowiak, Lorin Hochstein +1

The Netflix video streaming system is composed of many interacting services. In such a large system, failures in individual services are not uncommon. This paper describes the Chao…

cs.SE2017★ 280 cited

Chaos Engineering

Ali Basiri, Niosha Behnam, Ruud de Rooij +4

Modern software-based services are implemented as distributed systems with complex behavior and failure modes. Many large tech organizations are using experimentation to verify the…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.