| 慈祥,马友忠,孟小峰.一种云环境下的大数据Top-K查询方法.软件学报,2014,25(4):813-825 |
| 一种云环境下的大数据Top-K查询方法 |
| Method for Top-K Query on Big Data in Cloud |
| 投稿时间：2013-09-10 修订日期：2013-12-18 |
| DOI：10.13328/j.cnki.jos.004564 |
| 中文关键词: Top-K查询 云计算 MapReduce |
| 英文关键词:top-K query cloud MapReduce |
| 基金项目:国家自然科学基金（61379050，91224008）；国家高技术研究发展计划（863）（2013AA013204）；高等学校博士学科点专项科研基金（20130004130001） |
|
| 摘要点击次数: 4198 |
| 全文下载次数: 4118 |
| 中文摘要: |
| Top-K查询在搜索引擎、电子商务等领域有着广泛的应用.Top-K查询从海量数据中返回最符合用户需求的前K个结果，主要目的是消除信息过载带来的负面影响.大数据背景下的Top-K查询，给数据管理和分析等方面带来新的挑战.结合MapReduce的特点，从数据划分、数据筛选等方面对云环境下的大数据Top-K查询问题进行深入研究.实验结果表明，该方法具有良好的性能和扩展性. |
| 英文摘要: |
| Top-K query has been widely used in lots of modern applications such as search engine and e-commerce. Top-K query returns the most relative results for user from massive data, and its main purpose is to eliminate the negative effect of information overload. Top-K query on big data has brought new challenges to data management and analysis. In light of features of MapReduce, this paper presents an in-depth study of Top-K query on big data from the perspective of data partitioning and data filtering. Experimental results show that the proposed approaches have better performance and scalability. |
|
HTML 下载PDF全文 查看/发表评论 下载PDF阅读器 |
