However, the traditional real-time database concurrency control protocol does not provide security supports.
然而，传统的实时数据库中的并发控制协议没有提供对安全性的支持。
With optimistic concurrency control, the database manager releases the row or page locks immediately after a read operation.
通过使用乐观并发控制，数据库管理器在完成读操作之后可以立即释放行或页锁。
Optimistic locking is an extremely efficient concurrency control method that guarantees data integrity without placing any physical lock in the database.
乐观锁是一个极其有效的并发性控制方法，它可以确保数据完整性而又无需在数据库中放置任何物理锁。
ZODB is a robust, multi-user, object-oriented database system capable of storing and managing arbitrarily complex Python objects with transaction support and concurrency control.
ZODB是一个健壮的、多用户的和面向对象的数据库系统，它能够存储和管理任意复杂的Python对象，并支持事务操作和并发控制。
The EJB container, persistence manager and the relational resource adapter and database work together to control the concurrency.
ejb容器、持久性管理程序、相关资源适配器和数据库将联合起来对并发性(concurrency)进行控制。
Concurrency Control and Recovery in Database Systems (see Resources) gives the properties of successful executions, which, if fulfilled, prevent a system from producing inconsistencies.
数据库系统的并发控制和复原(请参阅参考资料)给出了防止系统产生不一致问题的正确操作的属性。
In a traditional database system, the transaction correctness is implemented through the concurrency control protocol and the recovery mechanism.
传统数据库通过并发控制协议及事务的恢复机制来保证事务的正确性。
In this paper, distirbuted transaction, concurrency control and resource request model are introduced in detail. The universal deadlock condition in distirbuted database system is summarized.
本文将详细介绍分布式事务、并发控制和资源请求模型，总结出分布式数据库系统的通用死锁条件。
In parallel realtime database systems, concurrency control protocols must not only maintain the consistency constraints, but also meet time constraints.
在并行实时数据库中，并发控制协议不仅要满足数据库一致性约束，而且要满足时间约束。
In active real-time database systems, transaction concurrency control gets more difficult for integrating time constraint with active mechanism.
主动实时数据库因结合了时间限制与主动机制而使系统事务的并发控制变得更为复杂。
This paper presents a new algorithm which is useful to concurrency control of distributed database system.
针对分布式数据库的并发控制提出了一种新算法。
Concurrency control and recovery techniques are used in conventional DBMS's to preserve the serializability and the permanence requirements of database transactions.
在传统数据库管理系统中，采用并发控制和恢复技术来保证数据库事务的可串行化和持久性要求。
Serializable concurrency control protocol is suitable for traditional applications. It aims at database consistency, higher system throughput and shorter transaction response time.
可串行化的并发控制对传统应用是合适的，它旨在确保数据库的一致性，提高系统的吞吐量及减小事务平均响应时间。
Concurrency control algorithm is used to ensure the consistency of multiuser database while allowing a set of transactions to be executed concurrently.
并发控制算法是为了保证多用户并发执行下的数据库的一致性。
On the other hand, multilevel secure database system can not meet timing requirements, so the study of concurrency control protocol in SRTDBS is extremely important significance.
另一方面，安全数据库又不能满足实时性要求，所以对SRTDBS中并发控制协议的研究具有极其重要的意义。
Transaction is one of the core concepts in modern database theory, and concurrency control technology is the major component of transaction management.
事务是现代数据库理论中的核心概念之一，并发控制是事务管理的主要组成部分。
We describe a hybrid concurrency control policy using dynamic timestamp allocation method for distributed database systems.
本文描述了一个分布数据库系统的混合并发控制策略，这个策略使用了动态时间标签分配方法。
Multiversion optimistic concurrency control (MVOCC) protocol and mobile transaction real-time commit (MTRTC) protocol are presented for mobile distributed real-time database systems (MDRTDBSs).
提出了移动事务实时提交协议(MTRTC)和多版本乐观并发控制协议(MVOCC)处理移动分布式实时事务。
This paper has resolved the concurrency problem of large-scale messages, designing a new type of concurrency control module, implemented with multithreading and database concurrency techniques.
本文通过设计大并发控制模型，并使用多线程、数据库并发等技术实现，来解决通信模块的大规模消息并发问题。
Serializable concurrency control protocols are unsuitable for real-time database systems.
可串行化的并发控制对传统应用是合适的。
It can also facilitate users to define and manipulate data, maintain the security and integrity of data, and the concurrency control and database recovery under multi-user circumstances.
它使用户能方便地进行定义和操纵数据，维护数据的安全性和完整性，以及多用户下的并发控制和恢复数据库等操作。
Concurrency control in database always leads to deadlock. This article has put forward a method to detect it.
数据库的并发控制，经常导致死锁，本文针对此问题给出检测方法。
Concurrency control in database always leads to deadlock. This article has put forward a method to detect it.
数据库的并发控制，经常导致死锁，本文针对此问题给出检测方法。
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