International Business Machines Corporation

Jason Karl Yellick

Gari Singh

Gennaro A Cuomo

Meeta Vouk

Yacov Manevich

Alessandro Sorniotti

Angelo De Caro

Todd Dickson Gatts

Elli Androulaki

Paul Brian Tippett

An example operation includes one or more of receiving event data from an entity, determining the event data satisfies an endorsement policy, setting an identifier that corresponds to a context of the event data, generating an event which includes the event data and the identifier, and submitting the event for recording in a decentralized database, wherein the identifier is used to validate that a state corresponding to the context in the event data is correct.

Pre-validated event processing in a decentralized database

An operator for a global total order broadcast domain may send an operation out of band to nodes of participating parties, receive a certificate and a signature on an operation identifier for each participating node, generate a randomness vectors for each party participating in the operation, generate a random symmetric encryption key, encrypt the certificates, the signatures, and the randomness vector for each participating party with the symmetric encryption key, encrypt the symmetric encryption key under each public key for each participating party, and hash the symmetric encryption key, and recording, by the operator, the hashed symmetric encryption key on the global total order broadcast domain.

Anonymous private shared partitions in a global total order broadcast domain networks using random symmetric encryption keys

An operator for a global total order broadcast domain executing a method to send an operation out of band to nodes of participating parties in a partition, receive a certificate and a signature on the operation for each of the participating parties, generate a single party packet based on the received signatures, generate a random symmetric encryption key, send the random symmetric encryption key to the participating parties, encrypt the single party packet with the random symmetric encryption key, generate a pseudo random string for the partition, and record an operation identifier, the encrypted party packet, and the pseudo random string on the global total order broadcast domain.

Private ledger partitions in blockchain networks

An example operation may include one or more of receiving a request for blockchain information from a user device, acquiring blockchain data from a plurality of blockchains which are actively operating and available for joining, determining an amount of trust for each blockchain among the plurality of blockchains based on acquired blockchain data of the respective blockchain, and outputting a list identifying the plurality of blockchains where each blockchain on the list comprises a trust indicator indicating a determined amount of trust for the respective blockchain.

On-chain governance of blockchain

A computer-implemented method for establishing consensus in a blockchain network, a total ordering service for a blockchain network, and a computer program product. One embodiment may comprise providing a first total ordering service (TOS) gateway for an organization in a blockchain network, generating a symmetric key at the first TOS gateway, splitting the symmetric key to generate a plurality of key shares, and distributing at least one of the plurality of key shares to a second TOS gateway in the blockchain network. The TOS gateway in some embodiments may have read/write access to a shared message queue that makes messages available to each other TOS gateway in the blockchain network. Some embodiments may further comprise recovering the symmetric key by requesting one of the key shares from the second gateway in the blockchain network, and reconstructing the symmetric key using the one of the key shares.

Consensus service for blockchain networks

A node in a blockchain network may generate a configuration override for the blockchain network, approve the configuration override by the blockchain network, transmit the approval for the configuration override to peers in the blockchain network, and submit the configuration override to the blockchain network for validation. The validation will be based on the configuration override matching the approval.

Configuration override in a blockchain network

An example operation may include one or more of generating a data block for a hash-linked chain of blocks stored on a distributed ledger and accessible to a plurality of computing nodes of a blockchain network, storing governance policies within the data block, the governance polices governing interaction with the hash-linked chain of blocks, and transmitting the generated data block with the encoded governance policies therein to a plurality of peer nodes of the distributed ledger.

An example operation may include one or more of receiving a request to commit a blockchain request to a hash-linked chain of blocks stored on a distributed ledger, extracting governance policies which are encoded within a data block of the hash-linked chain of blocks on the distributed ledger, determining if the blockchain request satisfies the extracted governance policies of the hash-linked chain of blocks on the distributed ledger, and in response to the blockchain request satisfying the extracted governance policies, executing the blockchain request and storing the executed blockchain request within another data block of the hash-linked chain of data blocks on the distributed ledger.

An example operation may include one or more of receiving a request to modify a governance policy of a blockchain, identifying a principal identity that controls the governance policy, determining an allowable combination of signatures of the principal identity required for modifying the governance policy based on a graph data structure storing signature policies for endorsing modifications to governance policies, and modifying the governance policy of the blockchain based on the request in response to an allowable combination of signatures being received.

An example operation may include one or more of receiving a request to implement a modification to previously established governance policies of a blockchain, identifying one or more requirements for the modification based on the blockchain, determining whether the one or more identified requirements are satisfied based on signature data included within the request, and in response to the signature data satisfying the one or more requirements, transmitting the modification to an ordering node for inclusion within a data block of a hash-linked chain of blocks of the blockchain.

A method for estimating component power usage using aggregate power usage data are provided in the illustrative embodiments. A power estimation model is received, the model correlating a factor of the component with an aggregate power consumption of a set of components during a period, the component being a member of the set of components, the component being a hardware device operating in the data processing environment and consuming electrical power, the factor being a characteristic of the component related to the consumption of the electrical power in the component. A value of the factor at a determined time is received. The value of the factor is applied to the power estimation model to generate an estimate of electrical power consumed by the component. The estimate is output as the estimated power usage of the component when the factor attains the value.

Estimating component power usage from aggregate power usage

A system, and computer program product for estimating component power usage using aggregate power usage data are provided in the illustrative embodiments. A power estimation model is received, the model correlating a factor of the component with an aggregate power consumption of a set of components during a period, the component being a member of the set of components, the component being a hardware device operating in the data processing environment and consuming electrical power, the factor being a characteristic of the component related to the consumption of the electrical power in the component. A value of the factor at a determined time is received. The value of the factor is applied to the power estimation model to generate an estimate of electrical power consumed by the component. The estimate is output as the estimated power usage of the component when the factor attains the value.

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Raleigh, NC, United States of America

Jason Karl Yellick