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 …

MapReduce is a framework for processing and managing large-scale datasets in a
distributed cluster, which has been used for applications such as generating search indexes …

Growing main memory capacity has fueled the development of in-memory big data
management and processing. By eliminating disk I/O bottleneck, it is now possible to support …

With the rapid growth of emerging applications like social network analysis, semantic Web
analysis and bioinformatics network analysis, a variety of data to be processed continues to …

数据获取技术的革命性进步, 存储器价格的显著下降以及人们希望从数据中获得知识的客观需要
等, 催生了大数据. 数据管理技术迎来了大数据时代. 关系数据库技术经历了20 世纪70 …

Automobile Technology now-a-days is growing very quickly, and this incredible growth has
definitely made our lives better than before. This growth in technology has also increased …

MapReduce has been widely recognized as an efficient tool for large-scale data analysis. It
achieves high performance by exploiting parallelism among processing nodes while …

Multi-way Theta-join queries are powerful in describing complex relations and therefore
widely employed in real practices. However, existing solutions from traditional distributed …

We have designed and developed OceanBase, a distributed relational database system
from the very basics for a decade. Being a scale-out multi-tenant system, OceanBase is …

MapReduce is becoming ubiquitous in large-scale data analysis. Several recent works have
shown that the performance of Hadoop MapReduce could be improved, for instance, by …