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The Freeze algorithms for concurrency control in secure real-time database systems

机译:用于安全实时数据库系统中并发控制的Freeze算法

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摘要

Database systems for real-time applications must satisfy timing constraints associated with transactions. Typically, a timing constraint is expressed in the form of a deadline and is represented as a priority to be used by schedulers. Recently, security has become another important issue in many real-time applications. In many systems, sensitive information is shared by multiple users with different levels of security clearance. As more advanced database systems are being used in applications that need to support timeliness while managing sensitive information, there is an urgent need to develop concurrency control (CC) algorithms in transaction management that satisfy both timing and security requirements. In this paper, we propose two CC algorithms that ensure both security and real-time requirements. The proposed algorithms are primarily based on MV locking. However, in order to satisfy timing constraints and security requirements, a new method, called the Freeze, is proposed. In addition, we show that our algorithms work correctly and they provide a higher degree of concurrency than existing MV algorithms. We present several examples to illustrate the behavior of our algorithms, along with performance comparisons with other algorithms. The simulation results show significant performance improvement of the proposed algorithms
机译:实时应用程序的数据库系统必须满足与事务相关的时序约束。通常,时序约束以截止期限的形式表示,并表示为调度程序要使用的优先级。最近,安全性已成为许多实时应用程序中的另一个重要问题。在许多系统中,敏感信息由具有不同安全权限级别的多个用户共享。由于在需要在管理敏感信息的同时支持及时性的应用程序中使用了更高级的数据库系统,因此迫切需要在事务管理中开发同时满足时序和安全性要求的并发控制(CC)算法。在本文中,我们提出了两种确保安全性和实时性要求的CC算法。所提出的算法主要基于MV锁定。但是,为了满足时序约束和安全性要求,提出了一种称为冻结的新方法。此外,我们证明了我们的算法正常工作,并且与现有的MV算法相比,它们提供了更高的并发度。我们提供一些示例来说明我们的算法的行为,以及与其他算法的性能比较。仿真结果表明,所提出算法具有明显的性能改进。

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