Abstract
AbstractVideo2Flink is a distributed highly scalable video processing system for bounded (i.e., stored) or unbounded (i.e., continuous) and real-time video streams with the same efficiency. It shows how complicated video processing tasks can be expressed and executed as pipelined data flows on Apache Flink, an open-source stream processing platform. Video2Flink uses Apache Kafka to facilitate the machine-to-machine (m2m) communication between the video production and the video processing system that runs on Apache Flink. Features that make the combination of Apache Kafka and Apache Flink a desirable solution to the problem of video processing are the ease of customization, portability, scalability, and fault tolerance. The application is deployed on a Flink cluster of worker machines that run on Kubernetes in the Google Cloud Platform. The experimental results support our claims of speed showing excellent speed-up results for all tested video resolutions. The highest (i.e., more than seven times) speed-up was observed with the videos of the highest resolutions and in real time.
Funder
Horizon 2020 Framework Programme
Publisher
Springer Science and Business Media LLC
Subject
Computer Science Applications,Computer Vision and Pattern Recognition,Hardware and Architecture,Software
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