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Railgun: managing large streaming windows under MAD requirements [article]

Ana Sofia Gomes, João Oliveirinha, Pedro Cardoso, Pedro Bizarro
2021 arXiv   pre-print

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., fraud detection, require accurate, real-time metrics over long time sliding windows on applications that demand high throughput and low latencies.  ...  Further, we show that Railgun scales nearly linearly, respecting our msec-level latencies at high percentiles (<250ms @ 99.9%) even under a load of 1 million events per second.  ...  CA, USA, October 29 - November 1, 2015.  ... 
arXiv:2106.12626v1 fatcat:otrohxszszay7dwp4cdmcrfqke
Citation

Ana Sofia Gomes, João Oliveirinha, Pedro Cardoso, Pedro Bizarro. "Railgun: managing large streaming windows under MAD requirements." arXiv (2021)

The Social Responsibility of Software Development

Diomidis Spinellis
2017 IEEE Software  

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SANTA CLARA, CA. Research, design, develop & test os-level sw for comm. comp. apps. Up to 15% domestic/international travel.  ...  California Ave., Ste 200, Sunnyvale, CA 94086, ref job# 11667.1. EOE. Opening for Digital Design Engineer in Santa Clara, CA.  ...  IEEE understands your profession like no other!  ... 
doi:10.1109/ms.2017.48 fatcat:rxhnc3vjkjaddewb4jg6zl6sca
Citation

Diomidis Spinellis. "The Social Responsibility of Software Development." IEEE Software 34.2 (2017) 4-6

Mapping (Dis-)Information Flow about the MH17 Plane Crash

Mareike Hartmann, Yevgeniy Golovchenko, Isabelle Augenstein
2019 Proceedings of the Second Workshop on Natural Language Processing for Internet Freedom: Censorship, Disinformation, and Propaganda   unpublished

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ii Preface Welcome to the second edition of the Workshop on Natural Language Processing for Internet Freedom (NLP4IF 2019). This year, we focused on censorship, disinformation, and propaganda.  ...  We further featured a shared task on the identification of propaganda in news articles. The task included two subtasks with different levels of complexity.  ...  The corpus for the task was annotated by A Data Pro, 7 a company that performs high-quality manual annotations.  ... 
doi:10.18653/v1/d19-5006 fatcat:77l3dndrkvfmlhjt6qvnrassgi
Citation

Mareike Hartmann, Yevgeniy Golovchenko, Isabelle Augenstein. "Mapping (Dis-)Information Flow about the MH17 Plane Crash." Proceedings of the Second Workshop on Natural Language Processing for Internet Freedom: Censorship, Disinformation, and Propaganda (2019)