Abstract: The present invention generally relates to system, method and graphical user interface for executing one or more tasks in dynamic data driven enterprise application. The invention includes creation of rules on a rule creation interface by one or more syntax from a rule creation syntax data library. The invention provides machine learning models driven rule engine for executing the tasks.

Abstract: A system receives an operation by a trusted node on a blockchain, simulates an execution of the operation, and captures endorsement policy information related to the execution of the operation.

Abstract: An example operation may include one or more of retrieving, into a new node to be instantiated in a blockchain network, a state database checkpoint of a state database created at a block number of a blockchain of the blockchain network, retrieving, into the new node, blocks of the blockchain from the checkpoint block number to a current block number, constructing an initial state database from the received state database checkpoint, and executing, at the new node, the transactions of the retrieved blocks on the initial state database to generate a current state database.

Abstract: An example operation may include one or more of in one or more peer nodes of a plurality of peer nodes of a blockchain network that stores a blockchain and a state database, periodically generating a state database checkpoint, obtaining a consensus on the state database checkpoint from one or more of the one or more peer nodes, and storing the consensus state database checkpoint.

Abstract: An example operation may include one or more of creating, by a blockchain node, a validation database in a memory, simulating each of one or more transactions, determining that each transaction in a new block may be validated using the validation database, validating each transaction in the new block using the validation database, and committing the new block to the blockchain. The validation database includes data corresponding to a predetermined number of most recent blocks of a state database for a blockchain.

Abstract: An example operation may include one or more of retrieving, into a corrupted node in a blockchain network that is at least one corrupted or forked, a state database checkpoint of a state database created at a block number of a blockchain of the blockchain network, wherein the retrieved state database checkpoint comprises a last known non-corrupted or non-forked checkpoint state, retrieving, into the corrupted node, blocks of the blockchain from the checkpoint block number to a current block number, constructing an initial state database from the retrieved state database checkpoint, and executing, at the corrupted node, the transactions of the retrieved blocks on the initial state database to generate a current state database.

Abstract: The example embodiments are directed to a system and method for detecting phantom data items in a blockchain transaction. In an example, the method includes one or more of generating a transaction data set during a read phase of a blockchain transaction, the transaction data set including an identification of each query of the transaction executed during the read phase and results of each query, generating a validation data set by re-executing each query during a validation phase of the blockchain transaction, the validation data set including query results of each respective re-executed query, determining whether the blockchain transaction observes one or more phantom data items based on the query results of the transaction data set and the validation data set, and, in response to determining the transaction observes the one or more phantom data items, preventing the transaction data set from being written to the blockchain.

Abstract: An example operation may include one or more of in one or more peer nodes of a plurality of peer nodes of a blockchain network that stores a blockchain and a state database, periodically generating a state database checkpoint, obtaining a consensus on the state database checkpoint from one or more of the one or more peer nodes, and storing the consensus state database checkpoint.

Abstract: An example operation may include one or more of retrieving, into a corrupted node in a blockchain network that is at least one corrupted or forked, a state database checkpoint of a state database created at a block number of a blockchain of the blockchain network, wherein the retrieved state database checkpoint comprises a last known non-corrupted or non-forked checkpoint state, retrieving, into the corrupted node, blocks of the blockchain from the checkpoint block number to a current block number, constructing an initial state database from the retrieved state database checkpoint, and executing, at the corrupted node, the transactions of the retrieved blocks on the initial state database to generate a current state database.

Abstract: An example operation may include one or more of retrieving, into a new node to be instantiated in a blockchain network, a state database checkpoint of a state database created at a block number of a blockchain of the blockchain network, retrieving, into the new node, blocks of the blockchain from the checkpoint block number to a current block number, constructing an initial state database from the received state database checkpoint, and executing, at the new node, the transactions of the retrieved blocks on the initial state database to generate a current state database.

Abstract: A pinning service interaction agent receives a user input indicating an object, corresponding to an application, to be pinned to a selected mobile device screen. The agent receives user selection of content, that is stored in a document on a remote data store, to be displayed in the object. The agent intermittently receives refresh data refreshing the content displayed in the pinned object based on the content stored in the document on the remote data store.

Abstract: An example operation may include one or more of creating, by a blockchain node, a validation database in a memory, simulating each of one or more transactions, determining that each transaction in a new block may be validated using the validation database, validating each transaction in the new block using the validation database, and committing the new block to the blockchain. The validation database includes data corresponding to a predetermined number of most recent blocks of a state database for a blockchain.

Abstract: The example embodiments are directed to a system and method for detecting phantom data items in a blockchain transaction. In an example, the method includes one or more of generating a transaction data set during a read phase of a blockchain transaction, the transaction data set including an identification of each query of the transaction executed during the read phase and results of each query, generating a validation data set by re-executing each query during a validation phase of the blockchain transaction, the validation data set including query results of each respective re-executed query, determining whether the blockchain transaction observes one or more phantom data items based on the query results of the transaction data set and the validation data set, and, in response to determining the transaction observes the one or more phantom data items, preventing the transaction data set from being written to the blockchain.

Abstract: One embodiment provides a method for enabling computation of a signature of an information set given change information by storing information in a hierarchical data structure, the method including: utilizing at least one processor to execute computer code that performs the steps of: receiving change information relating to a first node within the hierarchical data structure; accessing a database comprising at least one key, wherein the at least one key comprises a crypto-hash and is assigned to a node within the hierarchical data structure; identifying a node key within the database that is assigned to the first node; computing a node crypto-hash for the first node after modifying the first node using the received change information; modifying the node key based upon the computed node crypto-hash; and updating the database with the modified node key. Other aspects are described and claimed.

Abstract: A database is populated with information provided by users of the messaging system, the messaging system for effecting instant messaging communication sessions via a network. Initial information held in the database itself is used to generate a plurality of information requests. Each of the information requests is sent to a recipient user via the network in an instant messaging communication session affected by the messaging system. Fields of the database are assigned to the recipient uses or to groups of the recipient users, and their responses to the information requests are used to populate those fields.

Abstract: A formula bar is used for receiving user input for entry/editing of formulas using touch input and/or a Soft Input Panel (SIP) designed for formula input. In response to a user initiating entry of a formula, a list of formulas is displayed based on the user's input. A formula may be selected and displayed within the formula bar with a parameter highlighted. The user may then enter the value for the parameter (e.g. a single value, a range, another formula, and the like) using touch input and/or SIP input. As the user enters the value for each parameter, the next parameter for the formula is automatically highlighted. The formula may be validated to determine if the parameters for the formula have been entered correctly. Tips may also be displayed in/near the display of the formula bar to provide assistance to the user entering the formula.

Abstract: One embodiment provides a method for enabling computation of a signature of an information set given change information by storing information in a hierarchical data structure, the method including: utilizing at least one processor to execute computer code that performs the steps of: receiving change information relating to a first node within the hierarchical data structure; accessing a database comprising at least one key, wherein the at least one key comprises a crypto-hash and is assigned to a node within the hierarchical data structure; identifying a node key within the database that is assigned to the first node; computing a node crypto-hash for the first node after modifying the first node using the received change information; modifying the node key based upon the computed node crypto-hash; and updating the database with the modified node key. Other aspects are described and claimed.

Abstract: A formula bar is used for receiving user input for entry/editing of formulas using touch input and/or a Soft Input Panel (SIP) designed for formula input. In response to a user initiating entry of a formula, a list of formulas is displayed based on the user's input. A formula may be selected and displayed within the formula bar with a parameter highlighted. The user may then enter the value for the parameter (e.g. a single value, a range, another formula, and the like) using touch input and/or SIP input. As the user enters the value for each parameter, the next parameter for the formula is automatically highlighted. The formula may be validated to determine if the parameters for the formula have been entered correctly. Tips may also be displayed in/near the display of the formula bar to provide assistance to the user entering the formula.

Abstract: A formula bar is used for receiving user input for entry/editing of formulas using touch input and/or a Soft Input Panel (SIP) designed for formula input. In response to a user initiating entry of a formula, a list of formulas is displayed based on the user's input. A formula may be selected and displayed within the formula bar with a parameter highlighted. The user may then enter the value for the parameter (e.g. a single value, a range, another formula, and the like) using touch input and/or SIP input. As the user enters the value for each parameter, the next parameter for the formula is automatically highlighted. The formula may be validated to determine if the parameters for the formula have been entered correctly. Tips may also be displayed in/near the display of the formula bar to provide assistance to the user entering the formula.

Abstract: A plug-in-based templatization framework for automating the creation of open virtualization framework (OVF) virtual appliance (VA) is provided. According to one embodiment, a framework is stored which comprises a plurality of product-specific add-ons. Each of the plurality of product-specific add-ons comprises a discovery element, an activation logic template element, an open virtualization package envelope template element. The plurality of product-specific add-ons are executed against a first virtual composite application instance while said the virtual composite application instance is executing in a first virtualization platform environment to automatically generate an open virtualization package template. A second virtual composite application instance is then deployed within a second virtualization platform environment utilizing the open virtualization package template.