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Temporal databases: Access structures, search methods, migration strategies, and declustering techniques.

机译:临时数据库:访问结构,搜索方法,迁移策略和分簇技术。

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Temporal databases maintain the complete history of all the states of a database. This permits users to query the current state of the database, as well as past states, and even future states that are planned to occur. To provide these capabilities and realize the promise of temporal databases, several technical challenges must be first addressed and resolved. One challenge is to develop techniques for storing and searching the very large amounts of data that are often generated by temporal database systems. Another challenge is the effective use of the storage technology that is currently available, such as write-once optical disks and disk arrays.; This dissertation presents an in-depth analysis of several access structures and search methods for temporal databases. A formal characterization of an efficient access structure, the time index, is given. This structure permits efficient searches on temporal data that often overlaps and has a non-uniform distribution. The data structures for the time index are defined and efficient search algorithms for point and interval based operations are described.; The main drawback of the time index is that it requires a large amount of storage. This dissertation presents a temporal incremental access structure, the time index{dollar}sp+,{dollar} which requires less storage and performs better than the time index. Extensive simulation studies are performed in order to compare the storage requirements and search performance of the time index{dollar}sp+{dollar} with that of the time index, the packed R-tree, and the parameterized R-tree.; In addition, an access structure called the monotonic {dollar}Bsp+{dollar}-tree for append-only temporal databases is presented. Comprehensive archiving techniques for the monotonic {dollar}Bsp+{dollar}-tree are provided and search algorithms for magnetic-optical storage media are given.; Finally, the issue of declustering temporal access structures for a single processor multiple independent disk architecture is addressed. Several disk allocation schemes are described for distributing temporal access structures on multiple disks in order to increase concurrent disk accesses in response to point and range queries. The techniques proposed are validated through extensive simulation studies.
机译:时态数据库维护数据库所有状态的完整历史记录。这允许用户查询数据库的当前状态以及过去的状态,甚至计划发生的将来的状态。为了提供这些功能并实现时态数据库的承诺,必须首先解决和解决一些技术难题。一项挑战是开发用于存储和搜索通常由时态数据库系统生成的大量数据的技术。另一个挑战是如何有效利用当前可用的存储技术,例如一次写入光盘和磁盘阵列。本文对时态数据库的几种访问结构和搜索方法进行了深入的分析。给出了有效访问结构(时间索引)的形式化描述。这种结构允许对经常重叠且分布不均匀的时间数据进行有效搜索。定义了时间索引的数据结构,并描述了基于点和间隔的有效搜索算法。时间索引的主要缺点是需要大量存储空间。本文提出了一种时间增量访问结构,即时间索引{dol},sp +,{dol},它需要较少的存储空间,并且性能优于时间索引。进行了大量的模拟研究,以比较时间索引{dol}} + {dol}与时间索引,压缩R树和参数化R树的存储要求和搜索性能。另外,提出了仅用于附加时间数据库的称为单调{dollar} Bsp + {dollar} -tree的访问结构。提供了单调{dolal} Bsp + {dollar} -tree的综合归档技术,并给出了磁光存储介质的搜索算法。最后,解决了取消单个处理器多个独立磁盘体系结构的临时访问结构的问题。描述了几种磁盘分配方案,用于在多个磁盘上分配时间访问结构,以增加对点和范围查询的并发磁盘访问。通过广泛的仿真研究验证了所提出的技术。

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