The continuous development of industry big data technology requires better computing
methods to discover the data value. Information forecast, as an important part of data mining …

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 …

We consider the verification of a particular class of infinite-state systems, namely systems
consisting of finite-state processes that communicate via unbounded lossy FIFO channels …

Distributed computing frameworks are the fundamental component of distributed computing
systems. They provide an essential way to support the efficient processing of big data on …

The ever-growing data storage and I/O demands of modern large-scale data analytics are
challenging the current distributed storage systems. A promising trend is to exploit the recent …

US10268726B1 - Partition key management for improved throughput - Google Patents
US10268726B1 - Partition key management for improved throughput - Google Patents Partition …

This paper proposes a distributed processing framework inspired by MapReduce
processing. It is unique to other distributed processing approaches to large-scale data, ie, so …

An exponential rise has been observed in the data volume over the time when considering a
real time environment. A phenomenal feature termed as 'Predictability'helps in predicting …

MapReduce, first proposed by Google, is a remarkable programming model for processing
very large amounts of data. An open-source implementation of MapReduce, called Hadoop …

This paper presents a framework for data processing on the Internet of Things (IoT). It
enables data on multiple nodes on IoT to be locally processed as much as possible by using …