Rammed, or What RAM^3S Taught Us
| Autor: | Ilaria Bartolini, Marco Patella |
|---|---|
| Přispěvatelé: | I. Bartolini, M. Patella |
| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
Big Data
Stream Processing Multimedia business.industry Computer science Big data 020207 software engineering 02 engineering and technology computer.software_genre Stream processing Software Middleware (distributed applications) 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing Use case Multimedia streams Layer (object-oriented design) business Real time analysis computer Real-Time Analysi |
| Zdroj: | iiWAS |
| Popis: | RAM^3S (Real-time Analysis of Massive MultiMedia Streams) is a framework that acts as a middleware software layer between multimedia stream analysis techniques and Big Data streaming platforms, so as to facilitate the implementation of the former on top of the latter. Indeed, the use of Big Data platforms can give way to the efficient management and analysis of large data amounts, but they require the user to concentrate on issues related to distributed computing since their services are often too raw. The use of RAM 3 S greatly simplifies deploying non-parallel techniques to platforms like Apache Storm or Apache Flink, a fact that is demonstrated by the four different use cases we describe here. We detail the lessons we learned from exploiting RAM 3 S to implement the detailed use cases. |
| Databáze: | OpenAIRE |
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