Apache Hadoop Goes Realtime at Facebook
By Komal Shringare. 2015
364 citations recorded by the source corpus.
View Paper: https://www.semanticscholar.org/paper/8749784e6d60c4a04dcf4bb6630bfd0203e9d3c9
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
- M. Mohammadi
- Ala Al-Fuqaha
- Mohsen Guizani
- Mohammed Aledhari
- Rodrigo Neves Calheiros
- Moussa Ayyash
- M. Netto
- Gui Yun Tian
Citations in the corpus
- LinkBench: a database benchmark based on the Facebook social graph (2013, methodology): “Facebook already uses HBase for major applications including its messaging backend [5].”
- Big Data computing and clouds: Trends and future directions (2013, methodology): “In addition, as described earlier, several improvements have been proposed to MapReduce frameworks to handle interactive applications [23,30,100].”
- Distributed data stream processing and edge computing: A survey on resource elasticity and future directions (2017, unknown): “Although most frameworks process data in a batch manner, numerous attempts have been made to adapt them to handle more interactive and dynamic workloads [29, 30].”
- Structural Health Monitoring Framework Based on Internet of Things: A Survey (2017, background): “Companies like Google, Apache, Facebook, and other startups have proposed some solutions to deal with big data [109]–[111].”
- Internet of Things: A Survey on Enabling Technologies, Protocols, and Applications (2015, methodology): “used an improved version of Hadoop to analyze billions of messages per day and offer real-time statistics of user actions [167].”