Item Infomation
Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Dimitrios, Kastrinakis | - |
| dc.contributor.author | Euripides G. M. Petrakis, Petrakis | - |
| dc.date.accessioned | 2023-04-07T08:19:25Z | - |
| dc.date.available | 2023-04-07T08:19:25Z | - |
| dc.date.issued | 2023 | - |
| dc.identifier.uri | https://dlib.phenikaa-uni.edu.vn/handle/PNK/7677 | - |
| dc.description | CC BY | vi |
| dc.description.abstract | Video2Flink 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. | vi |
| dc.language.iso | en | vi |
| dc.publisher | Springer | vi |
| dc.subject | Video2Flink | vi |
| dc.subject | Apache Flink | vi |
| dc.title | Video2Flink: real-time video partitioning in Apache Flink and the cloud | vi |
| dc.type | Book | vi |
| Appears in Collections | OER - Công nghệ thông tin | |
Files in This Item:
