Abstract: Managing execution of a job in a computing environment. A method establishes, for a job to be executed in the computing environment, an execution plan for processing the job. The execution plan identifies computationally intensive tasks of the job and data intensive tasks of the job. The method selects a virtual machine of the computing environment to process the identified computationally intensive tasks of the job and identified data intensive tasks of the job. The method assigns the identified computationally intensive tasks of the job for foreground processing of the virtual machine and assigns the identified data intensive tasks of the job for background processing of the virtual machine. Execution of the job executes the identified computationally intensive tasks of the job in foreground processing of the virtual machine and executes the identified data intensive tasks of the job in background processing of the virtual machine.

Abstract: A computer-implemented method of managing energy supply agreements that includes: connecting to a permissioned blockchain, the blockchain being accessible only by energy suppliers, energy transmission companies and government agencies that regulate a market for the supply of energy by energy suppliers to energy transmission companies; creating a new block for an energy purchase agreement that provides for the purchase of energy by an energy transmission company from an energy supplier; appending the new block having the energy purchase agreement to the blockchain; and responsive to the energy supplier supplying a quantity of energy to the energy transmission company in an individual energy transaction, appending the individual energy transaction as a block to the blockchain.

Abstract: A method and associated systems for a self-learning energy switch. The switch creates an array of cognitive models for each candidate energy source. Each array returns a probability that its corresponding source is the most cost-effective and operationally suitable energy supplier at that time. Each model in an array contributes to the array's returned probability as a function of a corresponding class of decision-making factors. The system fine-tunes the models by weighting them as functions of extrinsic evidentiary information that may imply future behavior of the decision-making factors and combines each model's returned probabilities to select an optimal energy source. The system then automatically routes power from the optimal source to a consumer's energy-consuming premises. This self-learning procedure repeats indefinitely, continuously tuning the models in response to identifying additional extrinsic evidence and reasons why the system's previous energy selections were either optimal or non-optimal.

Abstract: A method and associated systems for identifying inputs to be used by a decision-support application. The decision-support application requests from the input-selection system a set of topics of interest that have experienced similar trends in public interest over a specified period of time, subject to certain constraints and confidence factors. In response, the system uses content retrieved from online news and social-media sources to identify common topics and past trends of public interest in each of those topics. The system then retrieves, from a more robust set of sources that include online references and encyclopedias, content related to the most popular topics and their related qualities. The system builds a Trie data structure for each topic and its related qualities and uses properties of Trie structures to efficiently identify the most similar Tries. The system then returns to the decision-support application the topics that correspond to the most similar Tries.

Abstract: A system, method and program product for evaluating energy suppliers from a set of energy suppliers to meet demand for a distribution grid. A system is disclosed that includes: a bid volatility index (BVI) calculator that determines a BVI for each supplier for an offer; a profiling system that profiles each supplier with a set of predictor variables; a ranking system that determines a winning bid probability of each supplier based on the predictor variables; a modeling system that refines the winning bid probability based on changes to at least one predictor variable; and a scoring system that determines a confidence score for each supplier, wherein the confidence score indicates a confidence level that the supplier can meet the offer.

Abstract: A method and system for improving an operation of an automated IT system is provided. The method includes identifying software applications associated with requirements of processes executed by a hardware device with respect to an IT system. An ordered set of software solutions for modifying the software applications is generated. Sampling software code is generated by applying a sampling technique for enabling the hardware device to execute learning software code with respect to database systems. The sampling software code is executed for enabling an automated learning process applying a feature learning technique for identifying a set of software applications and enabling an evaluation of the software applications with respect to organizational parameters for identifying an organizational fitness for the set of software applications. A software application and associated feature are identified and the software application is executed resulting in improved operation of the hardware device.

Abstract: The present invention is a method and framework for protocol to optimize edge side dynamic response system with context propagation for IoT. The protocol is a composition of a set of predefined routines, called ‘parlance’, that control the lifecycle of the meshed devices. The master has characteristics to store database as block chains, encryption using hash function, run defined duty cycles. The edge devices have characteristics to receive parlance, execute parlance, provide data to mantles.

Abstract: A method and system for improving an operation of an automated IT system is provided. The method includes identifying a minimum set of software applications associated with requirements of processes executed by a hardware device with respect to an IT system. A list of sub-features associated with software based solutions is generated and associated evaluation code is generated. Software features are identified and software operational solutions are generated. Gating criteria adjustment code for selecting additional software applications is generated and executed resulting in improved operation of the hardware device.

Abstract: A method and system for improving an operation of an automated IT system is provided. The method includes identifying pre-tested software applications associated with requirements of processes executed by a hardware device with respect to an IT system. A list of available software applications associated with required features is generated and each feature is defined such that the currently available software applications are configured to provide and execute the required features. Evaluation code is executed and a resulting a list of validated software applications is generated. A list of short listed software applications and identification software code enabling an automated encoder learning process are generated. A software operational solution is identified and modification code is generated and executed resulting in improved operation of the validated software applications and the hardware device.

Abstract: A method and system for improving an operation of an automated IT system is provided. The method includes identifying pre-tested software applications associated with requirements of processes executed by a hardware device with respect to an IT system. A list of available software applications associated with required features is generated and each feature is defined such that the currently available software applications are configured to provide and execute the required features. Evaluation code is executed and a resulting a list of validated software applications is generated. A list of short listed software applications and identification software code enabling an automated encoder learning process are generated. A software operational solution is identified and modification code is generated and executed code resulting in improved operation of the validated software applications and the hardware device.

Abstract: A method and system for improving an operation of an automated IT system is provided. The method includes identifying pre-tested software applications associated with requirements of processes executed by a hardware device with respect to an IT system. A list of available software applications associated with required features is generated and each feature is defined such that the currently available software applications are configured to provide and execute the required features. Evaluation code is executed and a resulting a list of validated software applications is generated. A list of short listed software applications and identification software code enabling an automated encoder learning process are generated. A software operational solution is identified and modification code is generated and executed resulting in improved operation of the validated software applications and the hardware device.

Abstract: Managing execution of a job in a computing environment. A method establishes, for a job to be executed in the computing environment, an execution plan for processing the job. The execution plan identifies computationally intensive tasks of the job and data intensive tasks of the job. The method selects a virtual machine of the computing environment to process the identified computationally intensive tasks of the job and identified data intensive tasks of the job. The method assigns the identified computationally intensive tasks of the job for foreground processing of the virtual machine and assigns the identified data intensive tasks of the job for background processing of the virtual machine. Execution of the job executes the identified computationally intensive tasks of the job in foreground processing of the virtual machine and executes the identified data intensive tasks of the job in background processing of the virtual machine.

Abstract: Managing execution of a job in a computing environment. A method establishes, for a job to be executed in the computing environment, an execution plan for processing the job. The execution plan identifies computationally intensive tasks of the job and data intensive tasks of the job. The method selects a virtual machine of the computing environment to process the identified computationally intensive tasks of the job and identified data intensive tasks of the job. The method assigns the identified computationally intensive tasks of the job for foreground processing of the virtual machine and assigns the identified data intensive tasks of the job for background processing of the virtual machine. Execution of the job executes the identified computationally intensive tasks of the job in foreground processing of the virtual machine and executes the identified data intensive tasks of the job in background processing of the virtual machine.

Abstract: A computer-implemented method of managing energy supply agreements that includes: connecting to a permissioned blockchain, the blockchain being accessible only by energy suppliers, energy transmission companies and government agencies that regulate a market for the supply of energy by energy suppliers to energy transmission companies; creating a new block for an energy purchase agreement that provides for the purchase of energy by an energy transmission company from an energy supplier; appending the new block having the energy purchase agreement to the blockchain; and responsive to the energy supplier supplying a quantity of energy to the energy transmission company in an individual energy transaction, appending the individual energy transaction as a block to the blockchain.

Abstract: A method and system for improving an operation of an automated IT system is provided. The method includes identifying a minimum set of software applications associated with requirements of processes executed by a hardware device with respect to an IT system. A list of sub-features associated with software based solutions is generated and associated evaluation code is generated. Software features are identified and software operational solutions are generated. Gating criteria adjustment code for selecting additional software applications is generated and executed resulting in improved operation of the hardware device.

Abstract: A method and system for improving an operation of an automated IT system is provided. The method includes identifying a minimum set of software applications associated with requirements of processes executed by a hardware device with respect to an IT system. A list of sub-features associated with software based solutions is generated and associated evaluation code is generated. Software features are identified and software operational solutions are generated. Gating criteria adjustment code for selecting additional software applications is generated and executed resulting in improved operation of the hardware device.

Abstract: A method and associated systems for identifying inputs to be used by a decision-support application. The decision-support application requests from the input-selection system a set of topics of interest that have experienced similar trends in public interest over a specified period of time, subject to certain constraints and confidence factors. In response, the system uses content retrieved from online news and social-media sources to identify common topics and past trends of public interest in each of those topics. The system then retrieves, from a more robust set of sources that include online references and encyclopedias, content related to the most popular topics and their related qualities. The system builds a Trie data structure for each topic and its related qualities and uses properties of Trie structures to efficiently identify the most similar Tries. The system then returns to the decision-support application the topics that correspond to the most similar Tries.

Abstract: Managing execution of a job in a computing environment. A method establishes, for a job to be executed in the computing environment, an execution plan for processing the job. The execution plan identifies computationally intensive tasks of the job and data intensive tasks of the job. The method selects a virtual machine of the computing environment to process the identified computationally intensive tasks of the job and identified data intensive tasks of the job. The method assigns the identified computationally intensive tasks of the job for foreground processing of the virtual machine and assigns the identified data intensive tasks of the job for background processing of the virtual machine. Execution of the job executes the identified computationally intensive tasks of the job in foreground processing of the virtual machine and executes the identified data intensive tasks of the job in background processing of the virtual machine.

Abstract: A method and system for improving an operation of an automated IT system is provided. The method includes identifying pre-tested software applications associated with requirements of processes executed by a hardware device with respect to an IT system. A list of available software applications associated with required features is generated and each feature is defined such that the currently available software applications are configured to provide and execute the required features. Evaluation code is executed and a resulting a list of validated software applications is generated. A list of short listed software applications and identification software code enabling an automated encoder learning process are generated. A software operational solution is identified and modification code is generated and executed code resulting in improved operation of the validated software applications and the hardware device.

Abstract: A method, system and computer program product for an energy distributor to meet a demand/supply gap are disclosed. In an embodiment, the method comprises receiving at a processing system real time data from a series of meters identifying an amount of energy delivered to customers; identifying a demand/supply gap in a distribution of the energy to the customers; and creating a bias toward demand response conservation to meet the demand/supply gap. The processing system employees a decision model, incorporating said bias and using said real time data from said series of meters to determine demand response conservation data, to determine a threshold time to purchase energy to meet the demand/supply gap, therein reducing energy procurement to meet the demand/supply gap by participating at the threshold time for a market call operation. In an embodiment, the bias incorporates a growth rate of demand response adaption.