International Business Machines Corporation

Hewlett Packard Enterprise Development LP

Chun Hui Suen

Venkatraman Ramakrishna

Yu Chin Fabian Lim

Pralhad Dinesh Deshpande

Yohei Ueda

Takuya Nakaike

Emanuele Ragnoli

Angelo De Caro

Moriyoshi Ohara

Tatsushi Inagaki

Senthilnathan Natarajan

Muhammad Tayyab Asif

Bu Sung Lee

Zhou Yinsheng

Peter Jagadpramana

Kok Leong Ryan Ko

An example operation may include one or more of receiving transaction parameters for a blockchain transaction into a transaction wallet interface of a transaction wallet of a sender, the transaction parameters comprising a transaction amount and an intended recipient address. The example operation may include generating a blockchain transaction that specifies the transaction amount and a single recipient address selected from the intended recipient address and a mining pool address of a mining pool, and providing the generated blockchain transaction to the mining pool.

Privacy preserving transactions with probabilistic transaction fees

An example system may include a processor and memory, wherein the processor is configured to perform one or more of gather hashed commitments inputs from a plurality of user peers until a current time of a blockchain network equals to a hashed commitments inputs end time (t), collect plain text inputs until the current time of the blockchain network equals to a plain text inputs collection end time (t), wherein the tis greater than the t, and execute a chaincode of the smart contract to: compare generated hashes of the plain text inputs against previously stored hashes, in response to a match, store the plain text inputs into an input array, and perform a compute function on the input array.

Preservation of privacy of inputs

A method is provided for building calling context trees of an application to identify a thread or a device affecting a throughput of a transaction relating to the application. The method obtains profiles of call stacks of multiple threads. The method obtains wake-up profiles which are the call stacks of a notifier thread and a waiter thread, from among the multiple threads, in a case that the waiter thread leaves from a sleep state. The method builds the calling context trees to indicate transitions of methods tracing callee relations and wake-up relations based on the profiles of the call stacks and the wake-up profiles, wherein each method is represented by a node having an average thread number. The method extracts and displays tree portions which are transitively reachable from a calling context tree for the transaction and which include the thread or device affecting throughput.

Identifying software and hardware bottlenecks

An example operation may include one or more of identifying endorsement requests to perform blockchain transaction endorsements, transmitting the endorsement requests to an ordering node, monitoring performance metrics of endorsement blockchain peers, assigning the endorsement requests to the endorsement blockchain peers based on the performance metrics, and receiving endorsed blockchain transactions.

Secure consensus-based endorsement for self-monitoring blockchain

An example operation may include one or more of receiving, by a full storage peer of a blockchain network, a blockchain transaction, executing chaincode to create a new world state for a blockchain, transferring, in response to the blockchain transaction, partial Merkle tree hashes to one or more partial storage peers, the partial Merkle tree hashes corresponding to the blockchain transaction, verifying a current world state hash with the partial Merkle tree hashes, receiving, by the one or more partial storage peers, chaincode arguments, executing chaincode on the chaincode arguments to generate a new world state, calculating a new world state hash, and performing consensus, by the full storage peer and the one or more partial storage peers, on the new world state hash.

Compact state database system

An apparatus and related method to track data block operations in a cloud system are provided. Attributes associated with the data block operation may be attached to each individual data block targeted by the data block operation.

Tracing data block operations

Growing community of inventors

Singapore, Singapore

Chun Hui Suen