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 …

Cloud computing is a powerful technology to perform massive-scale and complex
computing. It eliminates the need to maintain expensive computing hardware, dedicated …

The primary purpose of this paper is to provide an in-depth analysis of different platforms
available for performing big data analytics. This paper surveys different hardware platforms …

系统地分析和总结云计算的研究现状, 划分云计算体系架构为核心服务, 服务管理,
用户访问接口等3 个层次. 围绕低成本, 高可靠, 高可用, 规模可伸缩等研究目标 …

在科学研究, 计算机仿真, 互联网应用, 电子商务等诸多应用领域, 数据量正在以极快的速度增长,
为了分析和利用这些庞大的数据资源, 必须依赖有效的数据分析技术. 传统的关系数据管理技术 …

This paper proposes as an element of novelty the Unified Form (UF) clustering algorithm,
which treats Fuzzy C-Means (FCM) and K-Means (KM) algorithms as a single configurable …

Computer clusters with the shared-nothing architecture are the major computing platforms
for big data processing and analysis. In cluster computing, data partitioning and sampling …

Spark SQL is a new module in Apache Spark that integrates relational processing with
Spark's functional programming API. Built on our experience with Shark, Spark SQL lets …

Distributed stream processing systems need to support stateful processing, recover quickly
from failures to resume such processing, and reprocess an entire data stream quickly. We …

The initial design of Apache Hadoop [1] was tightly focused on running massive,
MapReduce jobs to process a web crawl. For increasingly diverse companies, Hadoop has …