算法

加密货币:

2,117

交易所:

10

市值:

$2,158,935,982,977

24小时交易量:

$40,053,641,848

Gossip

排名 #33

1

$1,227,901,547

1

0

赢家 (undefined)%

24小时

输家 (undefined)%

排名

33

资产

1

市值

$1,227,901,547

24小时交易量

$37,911,782

赢家

1

概览
资产

$1,227,901,547

市值

$37,911,782

交易量

33

排名

1

赢家

0

输家

5.39

%

变动 24小时

-20.59

%

变动 7天

1小时

-0.060

%

1天

5.39

%

1周

-20.59

%

1个月

-29.38

%

2个月

-2.27

%

3个月

2.69

%

6个月

74.58

%

1年

19.76

%

关于 Gossip

The Gossip Algorithm is a type of distributed algorithm that allows nodes in a network to share and disseminate information in a peer-to-peer fashion. It is a simple and efficient way for nodes to learn about each other and the network's current state without relying on a central authority.

In the context of blockchain and cryptocurrency, the Gossip Algorithm is often used as part of the consensus mechanism to reach agreement on the state of the ledger. In this case, nodes in the network broadcast their local state changes to a subset of randomly selected peers, who then forward the information to their peers, and so on. As the information spreads throughout the network, each node can update its view of the ledger and validate new transactions.

One advantage of the Gossip Algorithm is its resilience to node failures and network partitions. Because information is spread throughout the network, rather than relying on a central point of failure, the system can continue to function even if a significant portion of the network is offline or malfunctioning.

The Gossip Algorithm is also relatively simple and easy to implement, making it an attractive choice for decentralized systems with large numbers of nodes. However, it is important to note that it is not without limitations, and more sophisticated consensus algorithms may be necessary for certain use cases.

Overall, the Gossip Algorithm is a useful tool for enabling efficient and decentralized communication among nodes in a network, and has proven to be a valuable component of many blockchain and cryptocurrency systems.