Byzantine-tolerant detection of causality: There is no holy grail

IF 2 4区 计算机科学 Q2 COMPUTER SCIENCE, THEORY & METHODS
Anshuman Misra , Ajay D. Kshemkalyani
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引用次数: 0

Abstract

Detecting causality or the “happened before” relation between events in an asynchronous distributed system is a widely used building block in distributed applications. To the best of our knowledge, this problem has not been examined in a system with Byzantine processes. We prove the following results for an asynchronous system with Byzantine processes. (1) We prove that it is impossible to determine causality between events in the presence of even a single Byzantine process when processes communicate by unicasting. (2) We also prove a similar impossibility result when processes communicate by broadcasting. (3) We also prove a similar impossibility result when processes communicate by multicasting. (4–5) In an execution where there exists a causal path between two events passing through only correct processes, we prove that it is possible to detect causality between such a pair of events when processes communicate by unicasting or broadcasting. (6) However, when processes communicate by multicasting and there exists a causal path between two events passing through only correct processes, we prove that it is impossible to detect causality between such a pair of events. (7–9) Even with the use of cryptography, we prove that the impossibility results of (1–3) for unicasts, broadcasts, and multicasts, respectively, hold. (10–12) With the use of cryptography, when there exists a causal path between two events passing through only correct processes, we prove it is possible to detect causality between such a pair of events, irrespective of whether the communication is by unicasts, broadcasts, or multicasts. Our results are significant because Byzantine systems mirror the real world.
拜占庭宽容的因果关系检测:没有圣杯
在异步分布式系统中,检测事件之间的因果关系或“之前发生的”关系是分布式应用中广泛使用的构建块。据我们所知,这个问题还没有在一个具有拜占庭过程的系统中得到检验。对于具有拜占庭进程的异步系统,我们证明了以下结果。(1)我们证明,当过程以单播方式通信时,即使存在单个拜占庭过程,也不可能确定事件之间的因果关系。(2)我们也证明了进程间广播通信的不可能性。(3)我们还证明了进程间通过组播进行通信时的类似不可能结果。(4-5)在一个执行过程中,两个事件之间存在因果关系,这两个事件只经过正确的过程,我们证明,当过程通过单播或广播进行通信时,可以检测到这对事件之间的因果关系。(6)然而,当进程通过组播通信并且两个事件之间存在因果路径时,我们证明了不可能检测到这对事件之间的因果关系。(7-9)即使使用密码学,我们也证明了(1-3)的不可能结果分别适用于单播、广播和组播。(10-12)使用密码学,当两个事件之间存在因果路径时,通过正确的过程,我们证明了无论通信是通过单播,广播还是多播,都可以检测到这对事件之间的因果关系。我们的结果很重要,因为拜占庭系统反映了现实世界。
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来源期刊
Parallel Computing
Parallel Computing 工程技术-计算机:理论方法
CiteScore
3.50
自引率
7.10%
发文量
49
审稿时长
4.5 months
期刊介绍: Parallel Computing is an international journal presenting the practical use of parallel computer systems, including high performance architecture, system software, programming systems and tools, and applications. Within this context the journal covers all aspects of high-end parallel computing from single homogeneous or heterogenous computing nodes to large-scale multi-node systems. Parallel Computing features original research work and review articles as well as novel or illustrative accounts of application experience with (and techniques for) the use of parallel computers. We also welcome studies reproducing prior publications that either confirm or disprove prior published results. Particular technical areas of interest include, but are not limited to: -System software for parallel computer systems including programming languages (new languages as well as compilation techniques), operating systems (including middleware), and resource management (scheduling and load-balancing). -Enabling software including debuggers, performance tools, and system and numeric libraries. -General hardware (architecture) concepts, new technologies enabling the realization of such new concepts, and details of commercially available systems -Software engineering and productivity as it relates to parallel computing -Applications (including scientific computing, deep learning, machine learning) or tool case studies demonstrating novel ways to achieve parallelism -Performance measurement results on state-of-the-art systems -Approaches to effectively utilize large-scale parallel computing including new algorithms or algorithm analysis with demonstrated relevance to real applications using existing or next generation parallel computer architectures. -Parallel I/O systems both hardware and software -Networking technology for support of high-speed computing demonstrating the impact of high-speed computation on parallel applications
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