To: seminaire@pauillac.inria.fr From: James.Leifer@inria.fr Subject: SEM - INRIA : Moscova - 24/09/04 - Paris - FR Vous pouvez maintenant vous abonner à nos annonces de séminaires http://pauillac.inria.fr/seminaires/subscribe.html S E M I N A I R E . ___ / _ _ / _ / / / \ / \ / / __| / |___ |_/ |_/ / |__ |_/ |_ ___ . / / ___ __ /_ _ / _/ /| /| _ __ __ _ _ / / / /_ / __| / / |/ | / \ /_ / / \ | / __| |___ / / __/ |_ |_/ |_ / | |_/__/ |_ |_/ |/ |_/ I N R I A - Rocquencourt Amphi Turing du Bat 1. Vendredi 24 septembre, 10h30 ----------------------- Bernadette Charron-Bost ----------------------- Laboratoire STIX, École Polytechnique ==================================================================== Reductions in Distributed Computing: Applications to Agreement Tasks ==================================================================== In this talk, we introduce several notions of reduction in distributed computing, and investigate reduction properties of two fundamental agreement tasks, namely Consensus and Atomic Commitment. We first propose the notion of reduction "\`a la Karp", an analog for distributed computing of the classical Karp reduction. We then define a weaker reduction which is the analog of Cook reduction. These two reductions are called $K$- reduction and $C$-reduction, respectively. We establish various reducibility and irreducibility theorems with respect to these two reductions. Our main result is an incomparability statement for Consensus and Atomic Commitment tasks: we show that they are incomparable with respect to the $C$-reduction, except when the resiliency degree is 1, in which case Atomic Commitment is strictly harder than Consensus. A side consequence of these results is that our notion of $C$-reduction is strictly weaker than the one of $K$-reduction. Finally, we introduce a third notion of reduction which measures the hardness to solve a task in terms of the information about failures required to solve the task. We prove that this latter reduction is strictly weaker than the $C$-reduction. In other words, the information about failures -- or equivalently, the weakest failure detector -- needed to solve a task does not entirely capture the hardness of the task.