Journal article
A Fine-Grained Stateful Data Analytics Method Based on Resilient State Table
Abstract
This article describes how stateful data analytic frameworks have emerged to provide fresh and low-latency results for big data processing. At present, it is desired to achieve the fine-grained data model in Spark data processing framework. However, Spark adopts coarse-grained data model in order to facilitate parallelization, it is challenging in dealing with the fine-grained data access in stateful data analytics. In this paper, the authors …
Authors
Ge J; He W; Chen Z; Liu C; Peng J; Chen G
Journal
International Journal of Software Science and Computational Intelligence, Vol. 10, No. 2, pp. 66–79
Publisher
IGI Global
Publication Date
April 1, 2018
DOI
10.4018/ijssci.2018040105
ISSN
1942-9045