The Minimum Failure Detector For Non-Local Tasks In Message-Passing Systems

Carole Delporte-Gallet (1) , Hugues Fauconnier (1) , Sam Toueg (2)

1 LIAFA - Laboratoire d'informatique Algorithmique : Fondements et Applications
2 DCS - Department of Computer Science [University of Toronto]

Intuitively, a task is local if the output value of each process depends only on the process' own input value, not on the input values of the other processes; a task is non-local otherwise. In this paper, we use the failure detector abstraction to determine the minimum information about failures that is necessary to solve non-local tasks in message-passing systems. More precisely, we show that there is a non-trivial failure detector, denoted FS*, that is necessary to solve non-localtasks, i.e., FS* can be extracted from any failure detector that can be used to solve any non-local task in message-passing systems. We also show that FS* is the strongest failure detector with this property. So, intuitively, FS* is the greatest lower bound of the set of failure detectors that solve \dst\ tasks in message-passing systems. Even though FS* is quite weak, it is strong enough to solve a natural weakening of the well-known set agreement task, that we call \emph{weak set agreement. In fact, we show that FS* is the weakest failure detector to solve the weak set agreement task. Finally, we compare FS* to two closely related failure detectors, namely, L and anti-Omega, which are the weakest failure detectors to solve set agreement in message-passing and shared memory systems, respectively. We prove that anti-Omega is strictly weaker than FS* and FS* is strictly weaker than L, in message-passing systems.

Mots clés: fault tolerance; failure detector; distributed computing; task

Domaines: Informatique

Carole Delporte-Gallet, Hugues Fauconnier, Sam Toueg. The Minimum Failure Detector For Non-Local Tasks In Message-Passing Systems. 2009. ⟨hal-00401844⟩