Data analytics in massive manufacturing data can extract huge business values while can
also result in research challenges due to the heterogeneous data types, enormous volume …

The wide proliferation of various wireless communication systems and wireless devices has
led to the arrival of big data era in large-scale wireless networks. Big data of large-scale …

Stream processors are emerging in industry as an apparatus that drives analytical but also
mission critical services handling the core of persistent application logic. Thus, apart from …

We present Stratosphere, an open-source software stack for parallel data analysis.
Stratosphere brings together a unique set of features that allow the expressive, easy, and …

A prominent parallel data processing tool MapReduce is gaining significant momentum from
both industry and academia as the volume of data to analyze grows rapidly. While …

We present an automatic skew mitigation approach for user-defined MapReduce programs
and present SkewTune, a system that implements this approach as a drop-in replacement …

The broad success of Hadoop has led to a fast-evolving and diverse ecosystem of
application engines that are building upon the YARN resource management layer. The open …

Hyracks is a new partitioned-parallel software platform designed to run data-intensive
computations on large shared-nothing clusters of computers. Hyracks allows users to …

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 (**人民大学信息
学院北京100872) Big Data Management: Concepts, Techniques and Challenges Meng …

In recent years ad hoc parallel data processing has emerged to be one of the killer
applications for Infrastructure-as-a-Service (IaaS) clouds. Major Cloud computing …