The invention relates to method for adjusting the minimum and maximum number of peer nodes that a node on the blockchain network will connect with. The adjustment takes in to account the bandwidth and processing capability of the node. Bandwidth capacity of a node is determined based on a maximum data amount processable by the node over a time period. Data is monitored passing through interfaces of the node, to and from peer nodes, and a profile factor of the node is determined from the difference between the input data to output data. Over a plurality of time periods monitoring said data the data analysed is used to set a minimum number of peer nodes and a maximum number of peer nodes connectable to the node according to said monitored data and the maximum number of peers connectable to the node. The method enables a node to adjust the number of connections according to performance limitation factors, such as bandwidth availability and processing performance. With the number of peer node connections determined, the node can further determine a correlation matrix between the interfaces and peer nodes to which it is connected. The matrix can be compiled with correlation coefficients representing the correlation between data processed at each interface of said node. The invention also resides in a corresponding computer readable storage medium, electronic device, node of a blockchain network or blockchain network having such a node.

A resource allocation method of an overlay management server (OMS) is disclosed. The resource allocation method may include transmitting, to a cache server (CS), a remote peer list determined based on a network distance between each of peers and the CS, receiving, from the CS, a peer list including an identifier of a peer receiving contents from the CS in response to the identifier of the peer being included in the remote peer list, and selecting another CS for the peer in response to the peer list being received.

The invention relates to method for a node of a blockchain network, the computer-implemented method comprising receiving or generating, at a node, data for distribution in the blockchain network, said node having a plurality of interfaces, said data corresponding to an object such as a transaction or a block. The transaction can be a Bitcoin transaction for recordal in a blockchain. The method determines a correlation matrix having correlation coefficients representing the correlation between data processed at each interface of said node. From the correlation matrix a correlation index for each interface is determined. A threshold or indicator is calculated and data or objects such as Bitcoin transactions are relayed from nodes via interfaces according to a set of correlation coefficients of interface receiving the data. An indicator or threshold can derived from the correlation matrix and data is relayed if the correlation between the receiving interface and the other interface is lower than the indicator. The invention also resides in a corresponding computer readable storage medium, electronic device, node of a blockchain network, super-node of a blockchain network or blockchain network.

The invention relates to method for adjusting the minimum and maximum number of peer nodes that a node on the blockchain network will connect with. The adjustment takes in to account the bandwidth and processing capability of the node. Bandwidth capacity of a node is determined based on a maximum data amount processable by the node over a time period. Data is monitored passing through interfaces of the node, to and from peer nodes, and a profile factor of the node is determined from the difference between the input data to output data. Over a plurality of time periods monitoring said data the data analysed is used to set a minimum number of peer nodes and a maximum number of peer nodes connectable to the node according to said monitored data and the maximum number of peers connectable to the node. The method enables a node to adjust the number of connections according to performance limitation factors, such as bandwidth availability and processing performance. With the number of peer node connections determined, the node can further determine a correlation matrix between the interfaces and peer nodes to which it is connected. The matrix can be compiled with correlation coefficients representing the correlation between data processed at each interface of said node. The invention also resides in a corresponding computer readable storage medium, electronic device, node of a blockchain network or blockchain network having such a node.

Techniques are presented for removing a connection to a peer node determined to be malicious based on transactions received from the peer node.

A computer-implemented method for a node of a blockchain network comprising receiving or generating data for distribution in the blockchain network, said node having a plurality of interfaces, said data corresponding to an object such as a transaction or a block. The transaction can be a Bitcoin transaction for recordal in a blockchain. The method determines a correlation matrix having correlation coefficients representing the correlation between data processed at each interface of said node. From the correlation matrix a correlation index for each interface is determined. A threshold or indicator is calculated and data or objects such as Bitcoin transactions are relayed from nodes via interfaces according to a set of correlation coefficients of interface receiving the data. An indicator or threshold can derived from the correlation matrix and data is relayed if the correlation between the receiving interface and the other interface is lower than the indicator.

The invention relates to method for adjusting the minimum and maximum number of peer nodes that a node on the blockchain network will connect with. The adjustment takes in to account the bandwidth and processing capability of the node. Bandwidth capacity of a node is determined based on a maximum data amount processable by the node over a time period. Data is monitored passing through interfaces of the node, to and from peer nodes, and a profile factor of the node is determined from the difference between the input data to output data. Over a plurality of time periods monitoring said data the data analysed is used to set a minimum number of peer nodes and a maximum number of peer nodes connectable to the node according to said monitored data and the maximum number of peers connectable to the node. The method enables a node to adjust the number of connections according to performance limitation factors, such as bandwidth availability and processing performance. With the number of peer node connections determined, the node can further determine a correlation matrix between the interfaces and peer nodes to which it is connected. The matrix can be compiled with correlation coefficients representing the correlation between data processed at each interface of said node. The invention also resides in a corresponding computer readable storage medium, electronic device, node of a blockchain network or blockchain network having such a node.

The invention relates to method for adjusting the minimum and maximum number of peer nodes that a node on the blockchain network will connect with. The adjustment takes in to account the bandwidth and processing capability of the node. Bandwidth capacity of a node is determined based on a maximum data amount processable by the node over a time period. Data is monitored passing through interfaces of the node, to and from peer nodes, and a profile factor of the node is determined from the difference between the input data to output data. Over a plurality of time periods monitoring said data the data analysed is used to set a minimum number of peer nodes and a maximum number of peer nodes connectable to the node according to said monitored data and the maximum number of peers connectable to the node. The method enables a node to adjust the number of connections according to performance limitation factors, such as bandwidth availability and processing performance. With the number of peer node connections determined, the node can further determine a correlation matrix between the interfaces and peer nodes to which it is connected. The matrix can be compiled with correlation coefficients representing the correlation between data processed at each interface of said node. The invention also resides in a corresponding computer readable storage medium, electronic device, node of a blockchain network or blockchain network having such a node.

The invention relates to method for a node of a blockchain network, the computer-implemented method comprising receiving or generating, at a node, data for distribution in the blockchain network, said node having a plurality of interfaces, said data corresponding to an object such as a transaction or a block. The transaction can be a Bitcoin transaction for recordal in a blockchain. The method determines a correlation matrix having correlation coefficients representing the correlation between data processed at each interface of said node. From the correlation matrix a correlation index for each interface is determined. A threshold or indicator is calculated and data or objects such as Bitcoin transactions are relayed from nodes via interfaces according to a set of correlation coefficients of interface receiving the data. An indicator or threshold can derived from the correlation matrix and data is relayed if the correlation between the receiving interface and the other interface is lower than the indicator. The invention also resides in a corresponding computer readable storage medium, electronic device, node of a blockchain network, super-node of a blockchain network or blockchain network.

A data-interoperability-oriented trusted processing method and system applied to a P2P network system are provided. The P2P network system includes a plurality of nodes. The trusted processing method includes a storage method and a query method. Firstly, a directed acyclic graph ledger structure is employed to be matched with an nRW consensus mechanism during a storage process, so that a supervision problem in a large-scale sharing exchange process is solved. Secondly, in a query process, a P2P network system is optimized by maintaining a tree structure with high fault tolerance and load balance through a hop optimization method to construct the P2P network system with a relatively balanced network, so that a query delay is not greatly influenced on the premise of ensuring the load balance, and an expandability of the system is ensured.