Real-Time Big Data Stream Processing Using GPU with Spark Over Hadoop Ecosystem

In this technological era, every person, authorities, entrepreneurs, businesses, and many things around us are connected to the internet, forming Internet of thing (IoT). This generates a massive amount of diverse data with very high-speed, termed as big data. However, this data is very useful that...

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Vydáno v:	International journal of parallel programming Ročník 46; číslo 3; s. 630 - 646
Hlavní autoři:	Rathore, M. Mazhar, Son, Hojae, Ahmad, Awais, Paul, Anand, Jeon, Gwanggil
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	New York Springer US 01.06.2018 Springer Nature B.V
Témata:	Big Data Computer Science Data management Digital media Equivalence Graphics processing units Hand tools High speed Internet Internet of Things Parallel processing Processor Architectures Real time Software Engineering/Programming and Operating Systems Special Issue on Programming Models and Algorithms for Data Analysis in HPC Systems Theory of Computation Video data Big Data Spark GPU Hadoop MapReduce
ISSN:	0885-7458, 1573-7640
On-line přístup:	Získat plný text
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