一种新型的多OROLAP模型及其优化算法(英文)

A Novel Multi-OROLAP Model and its Optimization Algorithms

OLAP模型是实现高效的联机分析处理、数据挖掘和高级商务智能应用的基础,ROLAP模型、MOLAP模型和OOLAP模型是当前数据仓库和商务智能领域的研究热点.提出了一种新型的基于组播服务的多对象-关系型OLAP模型,简称多OROLAP模型.具有扩展性好、计算速度快、可分布性等特点.研究了多OROLAP模型、数据仓库增量式快速刷新算法、内外存对象存储优化算法、内外存对象透明交换算法、内外存对象自适应选择算法.同时还研究了典型的用户查询和分析模式对多OROLAP模型及其算法、分布式数据仓库中组成员的管理和维护的影响.

OLAP model is the foundation for implementing efficient on-line analysis processing,data mining and advanced business intelligence applications.ROLAP,MOLAP and OOLAP models are well known models in the current data warehousing and business intelligence research areas.In this paper,the authors propose a novel multi-data warehouse model called Multi-OROLAP model based on multicast services,which has the advantages such as scalability,efficient computation,and distributability.The authors focus on the Multi-OROLAP model and algorithms used within this model,including the incremental refreshing algorithms for data warehouses,storage optimization algorithms,transparent exchange algorithms,and adaptive selection algorithms for main and secondary memory objects.Typical user query and analysis patterns and their performance impact on the Multi-OROLAP model and algorithms,group membership management and maintenance of multi-data warehouses are also discussed.