MAFC: Multimedia Application Flow Controller for Big Data Systems

被引:0
|
作者
Abdellatif, Takoua [1 ,2 ]
Testouri, Houcem Eddine [2 ]
Yahyaoui, Aymen [1 ,3 ]
机构
[1] Univ Carthage, SERCOM Lab, La Marsa 2078, Tunisia
[2] Univ Sousse, ENISO, Sousse 4000, Tunisia
[3] Mil Acad Fondouk Jedid, Nabeul 8012, Tunisia
来源
ADVANCES IN COMPUTATIONAL COLLECTIVE INTELLIGENCE, ICCCI 2022 | 2022年 / 1653卷
关键词
Real-time analysis; Massive multimedia streams; Control policy; Information flow control; Big Data systems;
D O I
10.1007/978-3-031-16210-7_40
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
A lot of research has been conducted on different areas of Big Data technology in the multimedia domain, such as multimedia Big Data capture, storage, indexing and retrieval. Nevertheless, ensuring real-time processing for multimedia Big Data is still a big challenge. Indeed, when the streaming speed is higher than the processing time, data can be lost or the processing no longer respects real-time constraints even though efficient streaming technology is used. In this context, we propose MAFC, a Multimedia Application Flow Controller that filters incoming multimedia data so that only significant data is sent for processing. Data extraction is executed following application-based policies. MAFC is a building block that can be embedded in the management layer of Big Data systems. The main contribution of our work is a Big Data architecture that couples multimedia data filtering with the Big Data streaming technology in order to reduce the stress on the processing layer. As a use-case, the integration of MAFC in a Big Data-based surveillance system for video frame extraction shows a significant performance improvement compared to the initial system.
引用
收藏
页码:485 / 497
页数:13
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