Multilevel Data Processing Using Parallel Algorithms for Analyzing Big Data in High-Performance Computing

The growing gap between users and the Big Data analytics requires innovative tools that address the challenges faced by big data volume, variety, and velocity. Therefore, it becomes computationally inefficient to analyze such massive volume of data. Moreover, advancements in the field of Big Data ap...

Celý popis

Uloženo v:

Podrobná bibliografie
Vydáno v:	International journal of parallel programming Ročník 46; číslo 3; s. 508 - 527
Hlavní autoři:	Ahmad, Awais, Paul, Anand, Din, Sadia, Rathore, M. Mazhar, Choi, Gyu Sang, Jeon, Gwanggil
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	New York Springer US 01.06.2018 Springer Nature B.V
Témata:	Algorithms Analytics Architecture Big Data Computation Computer Science Data analysis Data management Data processing Efficiency High performance computing Parallel processing Processor Architectures Software Engineering/Programming and Operating Systems Special Issue on Programming Models and Algorithms for Data Analysis in HPC Systems Theory of Computation Big Data Four-tier system architecture Parallel Processing algorithm HPC
ISSN:	0885-7458, 1573-7640
On-line přístup:	Získat plný text
Tagy:	Přidat tag Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!

Buďte první, kdo okomentuje tento záznam!