Video2Flink: real-time video partitioning in Apache Flink and the cloud
CC BY
Lưu vào:
Tác giả chính: | , |
---|---|
Định dạng: | Sách |
Ngôn ngữ: | English |
Nhà xuất bản: |
Springer
2023
|
Chủ đề: | |
Truy cập trực tuyến: | https://dlib.phenikaa-uni.edu.vn/handle/PNK/7677 |
Từ khóa: |
Thêm từ khóa
Không có từ khóa, Hãy là người đầu tiên đánh dấu biểu ghi này!
|
id |
oai:localhost:PNK-7677 |
---|---|
record_format |
dspace |
spelling |
oai:localhost:PNK-76772023-04-07T08:19:25Z Video2Flink: real-time video partitioning in Apache Flink and the cloud Dimitrios, Kastrinakis Euripides G. M. Petrakis, Petrakis Video2Flink Apache Flink CC BY 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. 2023-04-07T08:19:25Z 2023-04-07T08:19:25Z 2023 Book https://dlib.phenikaa-uni.edu.vn/handle/PNK/7677 en application/pdf Springer |
institution |
Digital Phenikaa |
collection |
Digital Phenikaa |
language |
English |
topic |
Video2Flink Apache Flink |
spellingShingle |
Video2Flink Apache Flink Dimitrios, Kastrinakis Euripides G. M. Petrakis, Petrakis Video2Flink: real-time video partitioning in Apache Flink and the cloud |
description |
CC BY |
format |
Book |
author |
Dimitrios, Kastrinakis Euripides G. M. Petrakis, Petrakis |
author_facet |
Dimitrios, Kastrinakis Euripides G. M. Petrakis, Petrakis |
author_sort |
Dimitrios, Kastrinakis |
title |
Video2Flink: real-time video partitioning in Apache Flink and the cloud |
title_short |
Video2Flink: real-time video partitioning in Apache Flink and the cloud |
title_full |
Video2Flink: real-time video partitioning in Apache Flink and the cloud |
title_fullStr |
Video2Flink: real-time video partitioning in Apache Flink and the cloud |
title_full_unstemmed |
Video2Flink: real-time video partitioning in Apache Flink and the cloud |
title_sort |
video2flink: real-time video partitioning in apache flink and the cloud |
publisher |
Springer |
publishDate |
2023 |
url |
https://dlib.phenikaa-uni.edu.vn/handle/PNK/7677 |
_version_ |
1762546699797004288 |
score |
8.891787 |