Storm@twitter
By Ankit Toshniwal, Siddarth Taneja, A. Shukla, K. Ramasamy, Jignesh M. Patel, Sanjeev Kulkarni, J. Jackson, Krishna Gade, Maosong Fu, Jake Donham and 3 more. SIGMOD Conference, 2014
1,012 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Computer Networks and Communications, Information Systems
View Paper: https://www.semanticscholar.org/paper/edd661ca12ef8ef988679f7b399f2f846ef01fbd
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
- Aneesh Sharma
- Nikolay Pavlovich Laptev
- Jimmy J. Lin
- Ian Flint
- Saeed Amizadeh
- Róbert Pálovics
- András A. Benczúr
- Levente Kocsis
In Computer Networks and Communications
- Nikolay Pavlovich Laptev
- Jimmy J. Lin
- Aneesh Sharma
- Róbert Pálovics
- András A. Benczúr
- Levente Kocsis
- Alexander Lavin
- Subutai Ahmad
In Information Systems
- Jimmy J. Lin
- Aneesh Sharma
- Róbert Pálovics
- András A. Benczúr
- Levente Kocsis
- Rodrigo Nogueira
- Zeynep Akkalyoncu Yilmaz
- Wei Yang
Citations in the corpus
- Online Machine Learning in Big Data Streams (2018, methodology): “Storm [219] relies on the concept of the connection topology of the processing elements.”
- Distributed data stream processing and edge computing: A survey on resource elasticity and future directions (2017, neutral): “While maintaining API compatibility with Apache Storm, Twitter’s Heron [35] was built with a range of architectural improvements and mechanisms to achieve better efficiency and to address several of Storm issues highlighted in previous work [56].”
- Generic and Scalable Framework for Automated Time-series Anomaly Detection (2015, background): “Data flows into a Storm [25] stream-processing topology.”
- GraphJet: Real-Time Content Recommendations at Twitter (2016, background): “Initial explorations quickly confirmed what we already suspected: that a general-purpose, real-time processing platform such as Storm [36] was not adequate for our needs.”