Publications de Maysam Yabandeh

Finding Almost-Invariants in Distributed Systems

Dejan Kostic, Maysam Yabandeh, Marco Canini

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 ...

2011

Model Checking of Distributed Algorithm Implementations

Maysam Yabandeh

It is notoriously difficult to develop reliable, high-performance distributed systems that run over asynchronous networks. Even if a distributed system is based on a well-understood distributed algorithm, its implementation can contain errors arising from ...

EPFL2011

PaxosInside

Rachid Guerraoui, Maysam Yabandeh

Amodernmanycore architecture can be viewed as a distributed system with explicit message passing to communicate between cores. Ensuring the consistency of shared state replicated over several cores is the key to the well functioning of such a system. Yet, ...

2010

Predicting and Preventing Inconsistencies in Deployed Distributed Systems

Dejan Kostic, Nikola Knezevic, Viktor Kuncak, Maysam Yabandeh

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 ...

Association for Computing Machinery2010

Simplifying Distributed System Development

Dejan Kostic, Viktor Kuncak, Maysam Yabandeh, Nedeljko Vasic

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 ...

2009

CrystalBall: Predicting and Preventing Inconsistencies in Deployed Distributed Systems

Dejan Kostic, Nikola Knezevic, Viktor Kuncak, Maysam Yabandeh

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 ...

2009

CrystalBall: Predicting and Preventing Inconsistencies in Deployed Distributed Systems

Dejan Kostic, Nikola Knezevic, Viktor Kuncak, Maysam Yabandeh

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 ...

2009

Simplifying Distributed System Development

Dejan Kostic, Viktor Kuncak, Maysam Yabandeh, Nedeljko Vasic

2009