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QoS-Aware Data Replications and Placements for Query Evaluation of Big Data Analytics

Xia, Qiufen; Liang, Weifa; Xu, Zichuan


Enterprise users at different geographic locations generate large-volume data and store their data at different geographic datacenters. These users may also issue ad hoc queries of big data analytics on the stored data to identify valuable information in order to help them make strategic decisions. However, it is well known that querying such large-volume big data usually is time-consuming and costly. Sometimes, users are only interested in timely approximate rather than exact query results....[Show more]

CollectionsANU Research Publications
Date published: 2017
Type: Conference paper
Source: IEEE ICC 2017 Communication and Information Systems Security Symposium
DOI: 10.1109/ICC.2017.7997238


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