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A survey on distributed deadlock and distributed algorithms to detect and resolve deadlock

机译:分布式死锁和用于检测和解决死锁的分布式算法的调查

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Operating system and distributed database system (DDS) are the most ordinary places where the chances for the occurrence of deadlock are very high. DDS is a database system which keeps the storage of multiple and logically interrelated databases on multiple computer systems connected over a large network in order to achieve optimal performance and resource sharing. In DDS a deadlock might encounter when a transaction request resource from other blocked transaction and enters into wait condition. It is more difficult to resolve deadlock in DDS as compare to resolution of deadlock in operating system because sites do not have exact knowledge of state of system. In this paper we are presenting a comparative study of various distributed algorithms such as B. M. Alom Algorithm and Edge-Chasing Algorithm for deadlock detection and resolution in DDS.
机译:操作系统和分布式数据库系统(DDS)是最常见的死锁发生率很高的地方。 DDS是一个数据库系统,可以在通过大型网络连接的多个计算机系统上保持多个逻辑上相关的数据库的存储,以实现最佳性能和资源共享。在DDS中,当来自其他阻止的事务的事务请求资源进入等待状态时,可能会遇到死锁。与解决操作系统中的死锁相比,解决DDS中的死锁更加困难,因为站点没有确切的系统状态知识。在本文中,我们将对B.M. Alom算法和边缘跟踪算法等各种分布式算法进行比较研究,以解决DDS中的死锁问题。

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