Efficient Workflow for Social Big Data Processing

4 Pages Posted: 5 Apr 2019

See all articles by Amit Kumar Jadiya

Amit Kumar Jadiya

Institute of Engineering and Technology Devi Ahilya University

Ramesh Thakur

Institute of Engineering and Technology Devi Ahilya University

Date Written: April 4, 2019

Abstract

Now a days social media is very popular among people and its data can be used for analysis of market strategy, getting insights etc. Social big data processing involves multiple phases and processes like gathering data from multiple sources, pre-processing, feature selection, feature extraction, evaluation logic for processing etc. Here data is gathered from multiple sources so this should be aggregated and managed in efficient manner. If all involved steps are performed through efficient workflow this overcomes the complexity of further processing steps. As part of this paper, we suggest efficient workflow schedule for one task which helps to follow further step by step processes involved in social big data processing. An efficient automated workflow overcomes manual efforts for submission of respective task jobs and select appropriate jobs out of multiple jobs. As future work, this can be added for further tasks with intelligent decision making workflows which behave on the basis of nature of the data.

Keywords: Social big data, Workflow, Schedule

Suggested Citation

Kumar Jadiya, Amit and Thakur, Ramesh, Efficient Workflow for Social Big Data Processing (April 4, 2019). Proceedings of Recent Advances in Interdisciplinary Trends in Engineering & Applications (RAITEA) 2019. Available at SSRN: https://ssrn.com/abstract=3365531 or http://dx.doi.org/10.2139/ssrn.3365531

Amit Kumar Jadiya (Contact Author)

Institute of Engineering and Technology Devi Ahilya University ( email )

Indore, 452001
India

Ramesh Thakur

Institute of Engineering and Technology Devi Ahilya University ( email )

Indore, 452001
India

Register to save articles to
your library

Register

Paper statistics

Downloads
7
Abstract Views
70
PlumX Metrics