张一鸣， 彭宇行^*， 李东升

（  国防科学技术大学计算机学院，长沙 410073；  ）

摘要： 以网络搜索、电子商务、社交网络等为代表的在线数据密集型（OLDI）应用逐渐成为工业界和学术界的研究热点。除了传统数据密集型应用的特点外，OLDI应用还具有延迟受限、查询条件多样等特点，对数据访问的性能（如带宽、延迟等）和数据查询的多样性（如多属性区间查询、Skyline查询等）提出迫切需求。本文针对OLDI应用在存储领域的最新研究成果进行综述。
关键词： 并行与分布处理；在线数据密集型；数据访问

ZHANG Yiming， PENG Yuxing^*， LI Dongsheng

（  School of Computer, National University of Defense Technology, Changsha 410073；  ）

Abstract： Online Data-Intensive (OLDI) applications, includes Web search, E-commerce, and social networks, have recently become popular in industrial and academic fields. In addition to the properties of traditional data-intensive applications, OLDI applications have several distinguishing properties such as latency constraints, and complex queries, which lead to urgent demands on data access performance (e.g., bandwidth, latency) and data query diversity (e.g., multi-attribute range query, Skyline query). This paper present a survey on technologies for online data intensive applications.

Tag：

点此返回栏目查看更多>>>参考论文