Building a novel physical design of a distributed big data warehouse over a Hadoop cluster to enhance OLAP cube query performance
Y Ramdane, O Boussaid, D Boukraà, N Kabachi… - Parallel Computing, 2022 - Elsevier
Abstract Improving OLAP (Online Analytical Processing) query performance in a distributed
system on top of Hadoop is a challenging task. An OLAP Cube query comprises several …
system on top of Hadoop is a challenging task. An OLAP Cube query comprises several …
Query complexity based optimal processing of raw data
Finding a resource-efficient way of processing large application datasets having complex
analytical and transactional queries with minimal replication is vital in reducing application …
analytical and transactional queries with minimal replication is vital in reducing application …
Load balanced semantic aware distributed RDF graph
Modern day application development requires efficient management of huge RDF data. The
major approaches for RDF data management are Relational and Graph based techniques …
major approaches for RDF data management are Relational and Graph based techniques …
[PDF][PDF] 数据因果一致性研究综述
田俊峰， 王彦骉， 何欣枫， 张俊涛… - Journal on …, 2020 - infocomm-journal.com
数据因果一致性是分布式存储中保障数据一致性的重要方案之一, 目前的因果一致性方案研究
重点包括时钟方法的优化, 协议的设计以及操作事务序列的优化等方面. 实际上云环境除了时钟 …
重点包括时钟方法的优化, 协议的设计以及操作事务序列的优化等方面. 实际上云环境除了时钟 …
Resource Utilization Monitoring for Raw Data Query Processing
Scientific experiments, simulations, and modern applications generate large amounts of
data. Data is stored in raw format to avoid the high loading time of traditional database …
data. Data is stored in raw format to avoid the high loading time of traditional database …
[PDF][PDF] Project Brief on Semantic Aware Graph Data Management
Managing huge RDF data is one of the major challenges for building modern day
applications. Relational approach and Graph based approach are two techniques for RDF …
applications. Relational approach and Graph based approach are two techniques for RDF …