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Evolving a model of transaction management with concurrency control for multilevel secure distributed real-time database systems

机译:使用用于多级安全分布式实时数据库系统的并发控制的交易管理模型

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The concurrency control in distributed database management systems is an important research problem. Several concurrency control algorithms have been proposed for secure distributed real time database systems, and several have been and are being implemented. Most of the concurrency control algorithms are the variations of the following basic techniques: Two-Phase Locking, Timestamp Ordering and Serialization Graph Testing. These algorithms may not be providing accurate performance model. In this paper, it is proposed an algorithm model to enhance the performance of concurrent transactions for multilevel security for distributed database. This model reduces the data access time and wait time for every transaction monitored by the sub-query analyzer. Simulation study reveals that the effective enhancement of performance for concurrent transactions with different levels of security.
机译:分布式数据库管理系统中的并发控制是一个重要的研究问题。已经提出了用于安全分布式实时数据库系统的多个并发控制算法,并且已经实现了几个。大多数并发控制算法是以下基本技术的变化:两相锁定,时间戳顺序和序列化图测试。这些算法可能不提供准确的性能模型。在本文中,提出了一种算法模型,可以增强分布式数据库的多级安全性的并发事务的性能。此模型减少了子查询分析器监视的每个事务的数据访问时间和等待时间。仿真研究表明,具有不同级别的同时交易的性能有效增强。

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