Conference
A RST-Based Stateful Data Analytics within Spark
Abstract
Stateful data analytics framework 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 mainstream data processing framework, e.g. Spark. However, Spark adopts coarse-grained data model in order to facilitate parallization, it makes the fine-grained data access in stateful data analytics very challenging. In this paper, we introduce a stateful …
Authors
Ge J; Chen Z; Liu C; Peng J; He W; Zhu N
Pagination
pp. 394-399
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Publication Date
July 1, 2017
DOI
10.1109/icci-cc.2017.8109779
Name of conference
2017 IEEE 16th International Conference on Cognitive Informatics & Cognitive Computing (ICCI*CC)