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 …
H Zhang, G Chen, BC Ooi, KL Tan… - IEEE Transactions on …, 2015 - ieeexplore.ieee.org
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 …
C Ji, Y Li, W Qiu, U Awada, K Li - 2012 12th international …, 2012 - ieeexplore.ieee.org
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 …
A Parashar, V Maheshwari… - 2016 IEEE Region 10 …, 2016 - ieeexplore.ieee.org
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 …
Z Yang, C Yang, F Han, M Zhuang, B Yang… - Proceedings of the …, 2022 - dl.acm.org
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 …