Big Data Applications Using Workflows for Data Parallel Computing

An easy-to-use, scalable approach to build and execute Big Data applications using actor-oriented modeling in data parallel computing is presented.

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.