نتایج جستجو برای: gossip algorithm
تعداد نتایج: 755117 فیلتر نتایج به سال:
Cooperation can be supported by indirect reciprocity via reputation. Thanks to gossip, reputations are built and circulated and humans can identify defectors and ostracise them. However, the evolutionary stability of gossip is allegedly undermined by the fact that it is more error-prone that direct observation, whereas ostracism could be ineffective if the partner selection mechanism is not rob...
A gossip protocol is a procedure for spreading secrets among a group of agents, using a connection graph. We consider distributed gossip protocols wherein the agents themselves instead of a global scheduler determine whom to call. In this paper the problem of designing and analyzing gossip protocols is given a dynamic twist by assuming that when a call is established not only secrets are exchan...
Gossip protocols are designed to operate in very large, decentralised networks. A node in such a network bases its decision to interact (gossip) with another node on its partial view of the global system. Because of the size of these networks, analysis of gossip protocols is mostly done using simulations, but even they tend to be expensive in computation time and memory consumption. We employ m...
Based on existing reliable broadcast protocols in MANETs, we propose a novel reliable broadcast protocol that uses clustering technique and gossip methodology. We combine local retransmission and gossip mechanisms to provide reliability in MANETs. The proposed protocol can dynamically change system parameters for reliable broadcast communication in order to improve the adaptability in the rapid...
For many processes it is required to have a reliable view of an environment of interest. One way to achieve this is by performing a distributed Kalman filter. In this thesis, three distribution methods from different research backgrounds are implemented and evaluated using multiple metrics for use in a Gossip based wireless sensor network: consensus, weighted consensus and covariance intersecti...
In this thesis several topics on consensus and gossip algorithms for multi-agent systems are addressed. An agent is a dynamical system that can be fully described by a state-space representation of its dynamics. A multi-agent system is a network of agents whose pattern of interactions or couplings is described by a graph. Consensus problems in multi-agent systems consist in the study of local i...
Failure detectors were first proposed as an abstraction that makes it possible to solve consensus in asynchronous systems. A failure detector is a distributed oracle that provides information about the state of processes of a distributed system. This work presents a failure detection service based on a gossip strategy. The service was implemented on the JXTA platform. A simulator was also imple...
We propose Gossipico, a gossip algorithm to average, sum or find minima and maxima over node values in a large, distributed, and dynamic network. Unlike previous work, Gossipico provides a continuous estimate of, for example, the number of nodes, even when the network becomes disconnected. Gossipico converges quickly due to the introduction of a beacon mechanism that directs messages to an auto...
Peer-to-Peer technologies have been widely applied for multimedia applications. The super-peer based approach provides an efficient way to run applications by exploring nodes’ heterogeneity. In P2P live video streaming, even though the number of stable nodes is small, they have significant impact on the performance of the network. Thus, we present a super-peer-based overlay design, where stable...
Rohit Parikh has written on levels of knowledge [PK92]. Levels of knowledge are relevant for the analysis of gossip protocols. Gossip protocols describe the dissemination of information over a network. We present some examples of epistemic gossip protocols, wherein the agents or processes communicate with each other by peer-to-peer contact (telephone calls), as in the usal gossip protocols, but...
نمودار تعداد نتایج جستجو در هر سال
با کلیک روی نمودار نتایج را به سال انتشار فیلتر کنید