大数据管理:概念,技术与挑战 Page 1 大数据管理:概念,技术与挑战 孟小峰慈祥 (中国人民大学信息
学院北京100872) Big Data Management: Concepts, Techniques and Challenges Meng …

Recent demands for storing and querying big data have revealed various shortcomings of
traditional relational database systems. This, in turn, has led to the emergence of a new kind …

With an exponential increase in the provisioning of multimedia devices over the Internet of
Things (IoT), a significant amount of multimedia data (also referred to as multimedia big data …

We live in an increasingly interconnected world, with many organizations operating across
countries or even continents. To serve their global user base, organizations are replacing …

Recent technological advancements have led to a deluge of data from distinctive domains
(eg, health care and scientific sensors, user-generated data, Internet and financial …

We present WiscKey, a persistent LSM-tree-based key-value store with a performance-
oriented data layout that separates keys from values to minimize I/O amplification. The …

One of the major applications of future generation parallel and distributed systems is in big-
data analytics. Data repositories for such applications currently exceed exabytes and are …

Spanner is Google's scalable, multiversion, globally distributed, and synchronously
replicated database. It is the first system to distribute data at global scale and support …

针对大数据管理的新需求, 呈现出了许多面向特定应用的NoSQL 数据库系统. 针对基于key-
value 数据模型的NoSQL 数据库的相关研究进行综述. 首先, 介绍了大数据的特点以及支持大 …

Amazon Aurora is a relational database service for OLTP workloads offered as part of
Amazon Web Services (AWS). In this paper, we describe the architecture of Aurora and the …