计算机科学与技术

面向社交数据流连续查询的基准评测

  • 李叶 ,
  • 夏帆 ,
  • 钱卫宁
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  • 华东师范大学 数据科学与工程研究院,上海 200062
李叶,男,硕士研究生,研究方向为Web数据管理. E-mail: ly901002@gmail.com.

网络出版日期: 2014-11-27

基金资助

国家973课题(2010CB731402);国家自然科学基金(61170086)

Benchmarking continuous queries over social streams

  • LI Ye ,
  • XIA Fan ,
  • QIAN Wei-Ning
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  • Institute for Data Science and Engineering, East China Normal University, Shanghai 200062, China

Online published: 2014-11-27

摘要

社交数据流上的连续查询处理具有广泛的应用,但其处理技术仍不成熟.本文对社交数据流上的连续查询问题进行建模,定义数据特征、负载类型与分布,以及性能测度.在此基础上,提出一个面向该问题的基准评测.该工作对社交数据流处理应用的系统选型、相关查询处理技术性能比较具有重要意义.

本文引用格式

李叶 , 夏帆 , 钱卫宁 . 面向社交数据流连续查询的基准评测[J]. 华东师范大学学报(自然科学版), 2014 , 2014(5) : 330 -339 . DOI: 10.3969/j.issn.10005641.2014.05.030

Abstract

Continuous query processing over social streams has a wide range of applications. However,the problem is not intensively studied. This paper built a model of the continuous query problem over social streams. Data characteristics, types and distributions of workload, and performance measurements, were introduced. Furthermore, a benchmarks on this problem was presented. This work is important for system selection and comparison of technologies for social stream processing.
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