摘要
在分布式数据库设计中数据分配的问题对整个系统的改进数据的可用性、提高DDB的效率和可靠性有很大影响 ,本文主要通过实例讨论数据分配的原则 ,分别对非冗余分配、冗余分配、静态启发式分配等数据分配方法采用量化的方法来进行研究 ,并对动态分配也做了一些比较分析 ,在研究过程中 ,把分布式检索和更新处理问题结合起来考虑 ,以获得减少通信代价、减少检索代价及更新代价的最优解决方案 。
Well-designed data allocating contributes greatly to data usability, improving efficiency and reliability of DDB. In this paper, we discuss the principles of data allocating by instances, and research data allocation such as non-redundance allocating, redundance allocating, static and heuristic allocating by quantitive method. Also, there are some comparative analyses of dynamic allocating. During research process, considering distributed search and updating problem, we achieves optimum settlement by reducing cost of transportation, search and updating. Thus, we define the best place of logic segments after divided from global relation.
出处
《厦门大学学报（自然科学版）》
CAS
CSCD
北大核心
2002年第6期701-705,共5页
Journal of Xiamen University：Natural Science
