Algorithmus

Kryptowährungen:

2,117

Börsen:

10

Marktkapitalisierung:

$2,243,771,578,670

Volumen 24 Stunden:

$34,180,051,536

Asynchronous Byzantine Fault Tolerance

aBFT

Rang #25

$2,878,004,551

1

1

Gewinner (undefined)%

24S

Verlierer (undefined)%

Rang

25

Vermögenswerte

2

Marktkapitalisierung

$2,878,004,551

Volumen 24 Stunden

$31,123,709

Gewinner

1

Verlierer

1

Überblick
Vermögenswerte

$2,878,004,551

Marktkapitalisierung

$31,123,709

Volumen

25

Rang

1

Gewinner

1

Verlierer

-0.28

%

Änderung 24 Stunden

12.66

%

Änderung 7 Tage

1S

0.670

%

1T

-0.280

%

1W

12.66

%

1M

-26.60

%

2M

-9.98

%

3M

20.69

%

6M

76.42

%

1J

146.79

%

Über 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.