Model Checking of Distributed Algorithm Implementations
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We propose a new approach for developing and deploying distributed systems, in which nodes predict distributed consequences of their actions, and use this information to detect and avoid errors. Each node continuously runs a state exploration algorithm on ...
At the heart of distributed computing lies the fundamental result that the level of agreement that can be obtained in an asynchronous shared memory model where t processes can crash is exactly t + 1. In other words, an adversary that can crash any subset o ...
Currently, software engineering is becoming even more complex due to distributed computing. In this new context, portability while providing the programmer with the single system image of a classical Java Virtual Machine (JVM) is one of the key issues. Hen ...
Dwork, Lynch, and Stockmeyer (1988) and Lamport (1998) showed that, in order to solve Consensus in a distributed system, it is sufficient that the system behaves well during a finite period of time. In sharp contrast, Chandra, Hadzilacos, and Toueg (1996) ...
In modern distributed systems, failures are the norm rather than the exception. In many cases, these failures are not benign. Settings such as the Internet might incur malicious (also called Byzantine or arbitrary) behavior and asynchrony. As a result, and ...
It is notoriously hard to develop dependable distributed systems. This is partly due to the difficulties in foreseeing various corner cases and failure scenarios while implementing a system that will be deployed over an asynchronous network. In contrast, r ...
This paper presents an approach to automatic verification of asynchronous round-based consensus algorithms. We use model checking, a widely practiced verification method; but its application to asynchronous distributed algorithms is difficult because the s ...
Distributed systems are difficult to design and develop. The difficulties arise both in basic safety correctness properties, and in achieving high performance. As a result of this complexity, the implementation of a distributed system often contains the ba ...
The term distributed Consensus denotes the problem of getting a certain number of processes, that could be far away from each other and that exchange messages through some communication means, to all agree on the same value. This problem has been proved im ...
The power of an object type T can be measured as the maximum number n of processes that can solve consensus using only objects of T and registers. This number, denoted cons(T), is called the consensus power of T. This paper addresses the question of the we ...
