False Deadlock Detection in Distributed Systems

Detecting a nonexistent deadlock in distributed systems has been referred to as false deadlock detection. This correspondence shows that false deadlock wi1l never occur in a system of two-phase locking transactions. We also describe an algorithm to avoid false deadlock detection when transactions are not two-phase locking.     

On Deadlock Detection in Distributed Systems

A hierarchically organized and a distributed protocol for deadlock detection in distributed databases are presented in [1]. In this paper we show that the distributed protocol is incorrect, and present possible remedies. However, the distributed protocol remains impractical because "condensations" of "transaction-wait-for" graphs make graph updates difficult to perform. Delayed graph updates cause the occurrence of false deadlocks in this as well as in some other deadlock detection protocols for distributed systems. The performance degradation that results from false deadlocks depends on the characteristics of each protocol.     

Deadlock Models and a General Algorithm for Distributed Deadlock Detection

This paper deals with the problem of deadlock detection in asynchronous message passing systems in a system model that covers unspecified receptions and non-FIFO channels. It presents a hierarchy of deadlock models and deadlock detection problems. It abstracts deadlocks by a general deadlock model that has the same modeling power as the OR-AND model; however, it has much concise expressive power. An abstract general definition of deadlocks in distributed systems is presented that defines deadlocks independently of the underlying deadlock model. This formulation can be used to design a single distributed deadlock detection algorithm which uniformly addresses all deadlocks in the context of various request models such as AND, OR, AND-OR, and k-out-of-n requests. A simple generalized deadlock detection algorithm that uses a circulating token is presented to illustrate the concept. The algorithm is formally described and proven correct. Moreover, possible refinements of the basic solution concerning improvements of token routing and parallel implementation are outlined and evaluated. Extensions to individual and global termination issues are also addressed. Since the proposed deadlock detection algorithm is designed around the abstract definition of deadlocks, it has some very favorable features.     

Local Distributed Deadlock Detection by Cycle Detection and Clusterng

A distributed algorithm for the detection of deadlocks in store-and-forward communication networks is presented. At first, we focus on a static environment and develop an efficient knot detection algorithm for general graphs. The knot detection algorithm uses at most O(n²+ m) messages and O(log (n)) bits of memory to detect all deadlocked nodes in the static network. Using the knot detection algorithm as a building block, a deadlock detection algorithm in a dynamic environment is developed. This algorithm has the following properties: It detects all the nodes which cause the deadlock. The algorithm is triggered only when there is a potential for deadlock and only those nodes which are potentially deadlocked perform the algorithm. The algorithm does not affect other processes at the nodes.     

移动Agent系统的一种分布式死锁检测方案

传统的分布式死锁解决方案不适合于实体在网络中自由移动的MAS系统.本文描述了一种移动Agent系统的分布式死锁算法,使用专职Agent从事死锁检测和解决.该方案的特点是地点参考、拓扑独立、容错、异步操作.文中建立了StochasticPetri Net模型,并使用仿真试验给出它和Diffusion Computation算法的性能比较.     

Protocols for Deadlock Detection in Distributed Database Systems

In distributed databases, deadlocks may occur due to conflicts in data file lockings A system is in a deadlock if and only if there is a directed cycle in its demand graph. However, due to the inherent communication delay in a distributed system, it is not easy to construct a consistent demand graph for a distributed system. In this paper, three deadlock detection protocols are discussed. The first protocol uses two communication phases. The second protocol uses a single communication phase. Based on the second protocol, a one-phase hierarchical deadlock detection protocol is developed.     

On Characterization and Correctness of Distributed Deadlock Detection

Distributed deadlock detection requires identifying the presence of certain properties in the global state of distributed systems. Distributed deadlock detection is complicated due to the lack of both global memory and a common physical clock, and due to unpredictable message delays. We characterize the formation and detection of distributed deadlocks in terms of the contents of local memory of distributed nodes/sites. We describe how the interaction between deadlock detection and deadlock resolution can lead to the detection of false deadlocks that are impossible to avoid due to inherent system limitations. We define shadow, phantom, and pseudo deadlocks in the proposed framework. We give examples of existing incorrect deadlock detection algorithms to illustrate how they violate the developed requirements for distributed deadlock detection. The characterization provides an insight into the properties of distributed deadlocks, expresses inherent limitations of distributed deadlock detection, and yields new correctness criteria for distributed deadlock detection algorithms.     

A Priority Based Distributed Deadlock Detection Algorithm

Deadlock handling is an important component of transaction management in a database system. In this paper, we contribute to the development of techniques for transaction management by presenting an algorithm for detecting deadlocks in a distributed database system. The algorithm uses priorities for transactions to minimize the number of messages initiated for detecting deadlocks. It does not construct any wait-for graph but detects cycles by an edge-chasing method. It does not detect any phantom deadlock (in the absence of failures), and for the resolution of deadlocks it does not need any extra computation. The algorithm also incorporates a post-resolution computation that leaves information characterizing dependence relations of remaining transactions of the deadlock cycle in the system, and this will help in detecting and resolving deadlocks which may arise in the future. An interesting aspect of this algorithm is that it is possible to compute the exact number of messages generated for a given deadlock configuration. The complexity is comparable to the best algorithm reported. We first present a basic algorithm and then extend it to take into account shared and exclusive lock modes, simultaneous acquisition of multiple locks, and nested transactions.     

分布式锁的Petri网建模及死锁检测

分布式锁管理DLM细化了锁模式的粒度,使得分布式系统具有更高的并发性,但死锁检测等锁的管理过程却更加复杂了,Petri网的应用能很好地解决该问题。为分布式锁建立Petri网模型,通过化简和合成建立系统的Petri网模型,借助Petri网的可达标识图实时检测出分布式系统的死锁状态,并查找死锁进程。     

分布式系统死锁的预防、避免和检测

分布式系统涉及到资源和数据的高度共享,从而可能引发死锁。分布式系统的死锁是由于资源和通讯产生的。从分布式系统死锁产生的条件,解决策略,以及分布式系统中死锁预防、避免和检测的各种算法进行了具体阐述。     

Comments on "Protocols for Deadlock Detection in Distributed Database Systems"

The two-phase deadlock detection protocol in the above paperl detects false deadlocks. This is contrary to what the authors claim. The false detection o. f deadlocks is shown using a counterexample.     

一种基于移动Agent技术的分布式死锁检测算法

死锁的处理长期以来一直是分布式系统的研究重点,已有许多成熟算法.随着网络技术的发展,越来越多的客户和资源可在网络中自由移动,这种可移动性使得传统算法面临了新的挑战.在这种新的应用背景下,本文结合移动Agent技术,提出了一种分布式系统死锁检测和解除算法：Agent Guard.该算法使用一个移动Agent,使其遵循一定的路线算法在各个站点间移动来收集资源请求和分配信息并进行分析,从而发现并解除死锁.模拟实验证明,A-gent Guard算法能取得较短的死锁持续时间,较小的伪死锁率,且网络的通信复杂度也有降低.     

Integrating Distributed Data Bases into the Information Architecture

Abstract

To keep pace with rapid changes in corporate business requirements, organizations have begun to integrate distributed data base technology into their information architectures. Distributed data base management systems (DDBMSs) in particular promote the departmental sharing of data as well as easy access to data in a distributed environment, both key aspects of any data management strategy. This article describes the elements of distributed data base technology to help IS managers control the integration of distributed data bases in their organizations.     

分布式大数据不一致性检测

关系数据库中可能存在数据不一致性现象,关系数据库数据质量的一个主要问题是存在违反函数依赖情况.为找出不一致数据,需要进行函数依赖冲突检测.集中式数据库中可以通过SQL技术检测不一致情况,尽管检测效率不高;而分布式环境下不一致性检测更富有挑战性,不仅需要考虑数据的迁移,检测任务如何分配也是一个难题.在大数据背景下,上述问题更加突出.提出了一种分布式环境单函数依赖不一致性检测方法,给出了不一致性检测响应时间代价模型.为减少数据迁移量和响应时间,基于等价类对待检测数据进行预处理.由于分布式环境不一致性检测问题为NP-hard问题,多项式时间内难以得到最优解,给出了代价模型的多项式时间3/2-近似最优解.提出了一种分布式环境多函数依赖不一致性检测方法,基于最小集合覆盖理论,通过一次数据遍历,对多个函数依赖进行并行批检测,同时考虑检测过程中的负载均衡等问题.在真实和人工数据集上的实验表明：相对于传统的检测方法以及基于Hadoop的Naïve方法,所提出的检测方法检测效率有明显的提升,且扩展性能良好.     

操作系统中的死锁检测

本文提供了一种检测操作系统中死锁的方法．该方法包含三个步骤：（1）通过检测进程加锁与解锁是否匹配来获得锁的持有者;（2）从异常进程中筛选出锁的等待者;（3）通过检查锁的持有者与等待者是否会形成循环等待图来判定死锁．通过实验发现,该方法对系统性能的影响小于l％,而且不需要修改内核源码和源程序．     

一个两段加锁不死锁的充分条件

两段加锁是分布式系统中最广泛使用的并发控制算法。该算法除实现较为复杂外，其致命弱点是容易产生死锁。本文在分析两段加锁产生死锁原因的基础上，给出了一个不会产生死锁的两段加锁方法的充分条件和构造性定理以及实现的方法。     

分布式入侵检测中的数据融合模型

针对传统的入侵检测系统存在的误警率高、存在告警洪流、告警孤立等缺点,引入了数据融合方法,提出了一个分布式入侵检测中的数据融合模型。该模型对告警进行分类,采用D-S理论对多IDS告警进行融合,基于前提和后果的方法对告警进行关联,最后量化系统受威胁程度,提供了一个解决上述问题的框架和方法。     

基于Petri网合成与化简的分布式数据库系统并发控制的死锁检测

利用模块化设计的思想，首先为分布式数据库系统中各事务的每一种操作(读锁、写锁、解锁)构造一个基本的加权Petri网模型，并给出了加权Petri网共享合成的概念、然后利用共享合成技术，动态地构造各站点的加权Petri网模型，以适应系统的动态变化．此外，本文利用Petri网的化简技术，极大地简化了各站点的Petri网模型，之后利用同步合成技术构造出整个系统的Petri网模型，较好地解决了Petri网的可达性分析中可能出现的状态“爆炸”问题．最后给出了判断整个系统是否出现死锁的充分必要条件．