Title :
Big Data Applications Using Workflows for Data Parallel Computing
Author :
Jianwu Wang ; Crawl, Daniel ; Altintas, Ilkay ; Weizhong Li
Author_Institution :
San Diego Supercomput. Center, Univ. of California, San Diego, La Jolla, CA, USA
Abstract :
In the Big Data era, workflow systems need to embrace data parallel computing techniques for efficient data analysis and analytics. Here, the authors present an easy-to-use, scalable approach to build and execute Big Data applications using actor-oriented modeling in data parallel computing. They use two bioinformatics use cases for next-generation sequencing data analysis to verify the feasibility of their approach.
Keywords :
Big Data; bioinformatics; parallel programming; Big Data applications; actor-oriented modeling; bioinformatics use cases; data analytics; data parallel computing techniques; easy-to-use-scalable approach; next-generation sequencing data analysis; workflow systems; Big data; Data handling; Data storage systems; Distributed databases; Information management; Parallel processing; Programming; Big Data workflow; actor-oriented programming; bioinformatics application; data parallelization; scientific computing; scientific programming;
Journal_Title :
Computing in Science & Engineering
DOI :
10.1109/MCSE.2014.50
