Algoritmo

Criptos:

2,117

Exchanges:

10

Capitalização de Mercado:

$2,145,972,238,560

Volume 24h:

$40,432,602,591

Asynchronous Byzantine Fault Tolerance

aBFT

Classificação #25

$2,647,278,066

1

1

Vencedores (undefined)%

24H

Perdedores (undefined)%

Classificação

25

Ativos

2

Capitalização de Mercado

$2,647,278,066

Volume 24h

$50,309,766

Vencedores

1

Perdedores

1

Visão geral
Ativos

$2,647,278,066

Capitalização de Mercado

$50,309,766

Volume

25

Classificação

1

Vencedores

1

Perdedores

N/A

Variação 24h

N/A

Variação 7d

1H

0.450

%

1D

0

%

1S

0

%

1M

-26.99

%

2M

-17.13

%

3M

2.50

%

6M

70.81

%

1A

105.52

%

Sobre Asynchronous Byzantine Fault Tolerance

Asynchronous Byzantine Fault Tolerance (ABFT) is a consensus algorithm that ensures agreement among nodes in a distributed system even if some of them are faulty or malicious. It is a variation of the Byzantine Fault Tolerance (BFT) algorithm, but with the added feature of asynchrony, which allows nodes to work independently of one another, without the need for synchronized clocks.

In an ABFT system, each node communicates with other nodes using message passing. The nodes exchange messages to establish a shared understanding of the system state. The ABFT algorithm works by having each node broadcast a proposal for a transaction or block to the other nodes. Each node then votes on whether to accept or reject the proposal.

To ensure that the algorithm is fault-tolerant, ABFT assumes that up to one-third of the nodes in the system can be faulty or malicious. To reach consensus, the algorithm requires that two-thirds of the nodes agree on a given proposal. In the case where there are faulty nodes, the algorithm allows the non-faulty nodes to identify and exclude them from the voting process.

The ABFT algorithm has many potential use cases, including in decentralized finance (DeFi) applications, supply chain management, and voting systems. Because it allows for asynchronous communication, it can be used in systems where nodes are located in different time zones or have different processing capabilities.

ABFT is considered to be one of the most secure consensus algorithms, as it can provide strong guarantees even in the presence of malicious actors. However, it does have some limitations, such as the need for a high number of participating nodes to ensure security, as well as the potential for slow transaction processing times due to the voting process.

Overall, the ABFT algorithm is an important advancement in the field of distributed systems and is likely to play a significant role in the development of secure and decentralized applications in the future.