Abstract: An example operation may include one or more of creating, via chaincode, a link between a non-participant system and a data field stored on a private blockchain, where the data field comprises participant data of the private blockchain, detecting a change in a value of the participant data based on a read operation from the data field stored on the private blockchain, generating a notification of the changed value of the participant data, and transmitting the notification to the non-participant system based on the link between the non-participant system and the data field.

Abstract: An example operation may include one or more of executing a blockchain transaction which generates modifications to an asset, identifying a most recent version of the asset comprising most recent values of the asset before the blockchain transaction, generating a delta block for the executed blockchain transaction identifying differences between the modifications to the asset and the most recent version of the asset introduced by the blockchain transaction being executed while excluding unmodified values of the most recent version of the asset which are not modified by the executed blockchain transaction, and hashing the delta block to generate a hashed delta block and storing the hashed delta block on a distributed ledger.

Abstract: An example operation may include one or more of collecting, by a lead peer, state and quality of service (QoS) data from a plurality of peers of a blockchain network, building, by the lead peer, a network graph (NG) based on the state and the QoS data from the plurality of the peers, and mapping, by the lead peer, the NG to a block deliver graph (BDG), wherein edges of the BDG represent a sequence of blocks to be sent from a source peer to a destination peer.

Abstract: An example operation may include one or more of receiving, by a lead peer, blocks from an orderer node over a blockchain network, constructing, by the lead peer, a block delivery graph (BDG) based on properties of the blockchain network, building, by the lead peer, a state-and-QoS graph based on data acquired from a plurality of peers of the blockchain network, and mapping, by the lead peer, the state-and-QoS graph to the BDG to optimize delivery of the blocks to a destination peer.

Abstract: 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.

Abstract: 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 (t1), collect plain text inputs until the current time of the blockchain network equals to a plain text inputs collection end time (t2), wherein the t2 is greater than the t1, 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.

Abstract: A method and system for tracking an IT infrastructure is provided. The method includes modeling an IT infrastructure as a collection of hardware components, software components, and networking components. An observer agent is deployed on each of the components. The observer agent performs a measurement process with respect to each of the components and a mapping process is performed with respect to the measurement process. An aggregation module is deployed and an aggregation process is performed with respect to results of the mapping process. In response, a two dimensional moving graph indicating results of the aggregation process is generated and displayed.

Abstract: An example operation may include one or more of storing a user profile in a blockchain by an authorized member of the blockchain, receiving a request by another authorized member of the blockchain to access the user profile, identifying the request for the user profile is from the another authorized member of the blockchain, creating a signed message that includes consent to share the user profile with the another authorized member of the blockchain, and transmitting the signed message to the another authorized member of the blockchain, and wherein an exchange of the user profile between the blockchain members is performed without revealing blockchain member identities of the authorized member of the blockchain and the another authorized member of the blockchain to any of the blockchain members.

Abstract: An example operation may include one or more of determining, by a first blockchain peer, a chaincode transaction execution needs to be offloaded, receiving bids from one or more second blockchain peers to execute the chaincode transaction, selecting a bid corresponding to a second blockchain peer, executing, by the second blockchain peer corresponding to the selected bid, the chaincode transaction, receiving, by the first blockchain peer, executed chaincode transaction results, and updating a reputation for the second blockchain peer corresponding to the selected bid.

Abstract: 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.

Abstract: 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.

Abstract: An example operation may include one or more of executing a blockchain transaction which generates modifications to an asset, identifying a most recent version of the asset comprising most recent values of the asset before the blockchain transaction, generating a delta block for the executed blockchain transaction identifying differences between the modifications to the asset and the most recent version of the asset introduced by the blockchain transaction being executed while excluding unmodified values of the most recent version of the asset which are not modified by the executed blockchain transaction, and hashing the delta block to generate a hashed delta block and storing the hashed delta block on a distributed ledger.

Abstract: A method and system for tracking an IT infrastructure is provided. The method includes modeling an IT infrastructure as a collection of hardware components, software components, and networking components. An observer agent is deployed on each of the components. The observer agent performs a measurement process with respect to each of the components and a mapping process is performed with respect to the measurement process. An aggregation module is deployed and an aggregation process is performed with respect to results of the mapping process. In response, a two dimensional moving graph indicating results of the aggregation process is generated and displayed.

Abstract: A method and system for tracking an IT infrastructure is provided. The method includes modeling an IT infrastructure as a collection of hardware components, software components, and networking components. An observer agent is deployed on each of the components. The observer agent performs a measurement process with respect to each of the components and a mapping process is performed with respect to the measurement process. An aggregation module is deployed and an aggregation process is performed with respect to results of the mapping process. In response, a two dimensional moving graph indicating results of the aggregation process is generated and displayed.

Abstract: An example operation may include one or more of identifying a registered interest associated with a requestor on a blockchain, accessing a smart contract stored on the blockchain, determining a match between the registered interest and blockchain transaction information, determining the requestor associated with the registered interest has access permissions to access the blockchain transaction information based on access control rules, and creating a temporary bilateral smart contract including the requestor, and an owner of the blockchain transaction information, and the temporary bilateral smart contract provides permission for the requester to access the blockchain transaction information.

Abstract: An approach is provided for detecting and analyzing an anomaly in application performance in a client-server connection via a network. A status code of a response sent by a server to a client, a round trip latency time (RTT) of the response, and a time out of a connection between client and server are determined. Using a k-means clustering algorithm, buckets of RTT values clustered into lower and higher values, and running counts and means for the RTT values in each bucket, an RTT value is determined to exceed a threshold value. Based on the status code, the RTT value exceeding the threshold, and the connection time out, the anomaly is detected. Based on temporal and textual analyses of log entries and an environment analysis, candidate root causes of a failure that resulted in the anomaly are determined.

Abstract: An approach is provided for detecting and analyzing an anomaly in application performance in a client-server connection via a network. A request time and an Internet Protocol (IP) address of the client are determined. Based on the request time and the IP address, log entries relevant to the request are selected. A response code, a round trip latency time (RTT) of the response, and an indication of whether the connection timed out are determined. Based on the status code, the RTT, and the indication of whether connection timed out, the anomaly is detected. Based on temporal and textual analyzes of log entries associated with the anomaly and an environment analysis that determines activity of the client, server, and network, candidate root causes of a failure that resulted in the anomaly are determined.

Abstract: An example operation may include one or more of storing a user profile in a blockchain by an authorized member of the blockchain, receiving a request by another authorized member of the blockchain to access the user profile, identifying the request for the user profile is from the another authorized member of the blockchain, creating a signed message that includes consent to share the user profile with the another authorized member of the blockchain, and transmitting the signed message to the another authorized member of the blockchain, and wherein an exchange of the user profile between the blockchain members is performed without revealing blockchain member identities of the authorized member of the blockchain and the another authorized member of the blockchain to any of the blockchain members.

Abstract: Methods, systems, and computer program products for analytics-based dynamic adaptation of client-server mobile applications are provided herein.

Abstract: A blockchain configuration may be used to store smart contracts. One example method of operation may include one or more of identifying a metric configuration associated with a smart contract stored in a blockchain, logging an event which is part of the metric configuration, determining whether the event supports requirements of the smart contract, determining whether a smart contract policy in the smart contract matches a system policy, and updating the smart contract on the blockchain when the requirements of the smart contract are supported by the event and the smart contract policy matches the system policy.