Consensus has been regarded as the fundamental problem that must be solved to implement a fault-tolerant distributed system. However, only a weaker problem than traditional consensus need be solved. We generalize the consensus problem to include both traditional consensus and this weaker version. A

Distributed applications are realized by cooperation of multiple processes interconnected by communication networks. In the distributed applications, a group of processes have to make consensus. In this paper, we discuss a general model of consensus protocol which is composed of four steps, i

INTRODUCTION A logo is "a single piece of type bearing two or more usually separate elements" [1]. In this paper, we use logos to display aligned sets of sequences. Sequence logos concentrate the following information into a single graphic [2]: 1. The general consensus of the sequences

The consensus problem involves an asynchronous system of proceses, some of which may be unreliable. The problem is for the rcliablc processes to agree on a bbary value. h this paper, it is shown that every protocol for this problem has the possibility of nontermination, even with only otre faulty

) which simply linearises all nonlinear models so that the traditional linear Kalman filter can be applied. Although the EKF (in its many forms) is a widely used filtering strategy, over thirty years of experience with it has led to a general consensus within the tracking and control community

. Despite the widespread use of error correcting codes in many fields of information processing, and a general consensus on the usefulness of FEC techniques within some of the Internet protocols, very few actual implementations exist of the latter. This probably derives from the different types

lies at the heart of much recent work in concurrent algorithms, concurrent data structures, and multiprocessor architectures. In the first part of this paper, we introduce a simple and general technique, based on reduction to a consensus protocol, for proving statements of the form "

This paper will present an evolution of a fuzzy agent based platform which performed products configuration. As a first step, we used the notion of consensus to establish robust results at the end of the configuration process. We implemented the concept of “generalized consensus ” which implied

Abstract-Single leader-based Consensus protocols are known to stop scaling once the leader reaches its saturation point. On the other hand, establishing Consensus of commands by taking into account only their dependencies (as specified by Generalized Consensus) is appealing because

Many system security departments treat users as a security risk to be controlled. The general consensus is that most users are careless and unmotivated when it comes to system security. In a recent study, we found that users may indeed compromise computer security mechanisms, such as password