Abstract: A computer implemented method is provided that includes creating an industry force graph meta model; and establishing a relationship for each maturity dimension to determine most relevant content. The most relevant content is graphed using a chromatic polynomial to map strongest industry trends in an industry force. The method continues with building traversal logic to determine most relevant technologies for the strongest industry trends in the industry force. Most relevant components of an component business model are identified, and linkages between the strongest industry trends in the industry force are made to the most relevant components of the component business model.

Abstract: Real time data and historical data of power usage for components of an electrical power environment is analyzed, using a computer, to manage distribution of electrical power from multiple generation sources. Data is received for a plurality of nodes including components having power delivery and consuming capabilities. Real time data for the nodes is received and the real time data includes power output of the components. The data and the real time data is analyzed to determine predictable power usage for the components. Constraint limits are defined for a plurality of data points from the real time data for each of the plurality of nodes in the power consuming environment. An electrical power supply control plan is created based on the analysis and the penalty variables. The electrical power supply control plan is communicated to a control system for managing power usage in the electrical power environment.

Abstract: A process for service chain instance pool sizing includes receiving service requests, communicated in a 5G network, into a buffer of a request handler of the 5G network. The service requests are for processing by a service function chain. The request handler is configured to relay received service requests to a pool of service chain instances of the service function chain. The process determines an average number of service requests to be processed by the service function chain, determines a number of service chain instances to exist in the pool as a composite of (i) service chain instances to process service requests making an initial relay through the service function chain and (ii) service chain instances to process service requests that were re-introduced into the buffer after having previously arrived, and indicates this composite number to a broker component that controls the number of service chain instances in the pool.

Abstract: Datasets can be synchronized across cloud-based computer environments using computer systems. A data map can be generated for source datasets for a plurality of computing environments, respectively, and an activation function can be determined based on the data map, for simultaneously activating a new dataset of a source system from one of the plurality of computing environments. A generation ID (identification) can be shared from the source system with one or more computing environments of the plurality of the computing environments, in response to receiving the activation function. The new dataset of the source system can be replicated across the one or more computing environments. A data synchronization trigger can be activated, using a synchronization coordinator module of the computer, and the data synchronization can be completed across the plurality of computing environments.

Abstract: Methods, computer program products, and systems are presented. The methods include, for instance: obtaining domain data sources on a monolith database operating in a subject domain. Entities and relations of the monolith database are identified. By decomposing the entities of the monolith database for key entities in the subject domain, entities for a distributed database that is functionally equivalent to the monolith database are identified. Transactions performed on the monolith database and the entities of the distributed database involved therein are identified and the transactions are decomposed for the distributed database.

Abstract: A method for contact tracing a confirmed case of an infectious disease. A network function (NF) of a 5G network receives information of a confirmed case of a contagious disease with a consent of the user. The NF accesses mobile device location history and timestamp data of the user having the confirmed case from a unified data repository (UDR) of the 5G network. The NF generates a list of hot spots and timeframes, based on a contact tracing function analyzing the location history, and the NF sends the list of hot spots and timeframes to mobile devices of subscribers of the 5G network, wherein the mobile devices of the 5G subscribers include an application (app) that compares the list of hot spots to locally stored location history on respective mobile devices and provides alerts for a match of location and timeframe.

Abstract: Object overlay for vehicle occupants includes determining that visibility of an object in a view of a vehicle occupant through a transparent surface of the vehicle is degraded, the object being in an environment in which the vehicle travels, selecting from an image repository a reference image of the object, extracting, from the reference image, an image portion comprising an image of a least a portion of the object, transforming the extracted image portion to correspond to the view of the vehicle occupant, the transforming producing a transformed image portion, and displaying the transformed image portion on the transparent surface and interposed in a line-of-sight of the vehicle occupant to the object in the environment such that the transformed image portion overlays at least a portion of the vehicle occupant's view through the transparent surface to the object in the environment.

Abstract: Reliability-based service chain instance selection in a 5G network includes evaluating, for a service chain provided in a 5G network, the service chain comprising a series of network functions with processing hand-offs and take-overs therebetween, reliability of each service chain instance of a plurality of available service chain instances of the service chain, obtaining a service request for processing in the 5G network, the service request to be serviced by the service chain, selecting a service chain instance of the plurality of available service chain instances to process the service request, the selecting being based on the evaluated reliabilities of the plurality of available service chain instances, and invoking processing of the selected service chain instance to process the service request.

Abstract: A core set of nodes of a graph representing a network of devices is identified, a node of the graph representing a device in the network of devices, an edge of the graph representing an ability to transmit data between two devices represented by corresponding nodes of the graph. A device represented by a node more than one hop from any node in the core set of nodes of the graph is removed from the network of devices, the removing resulting in a validated network of devices. Using a number of devices in the validated network of devices, a number of security keys in use in the validated network is validated. A device in the validated network is caused to perform a task.

Abstract: A processor may identify one or more sources. The processor may identify a respective requirement of each of the one or more sources. The processor may determine if a respective requirement is different than another respective requirement. The processor may locate each of the one or more sources in a respective slice on a different container available in a server of a network.

Abstract: A method includes: determining, by a computing device, transactions of a monolithic application; ranking, by the computing device, the transactions using predefined rules; selecting, by the computing device, a candidate transaction from the ranked list; determining, by the computing device, lines of application code of the monolithic application associated with the candidate transaction; mapping, by the computing device, respective ones of the determined lines of application code to a first operation and a second operation, wherein the first operation and the second operation are different types of operation; and defining, by the computing device, a target state design based on CQRS (Command Query Responsibility Segregation), the target state design including a first microservice that performs the first operation and a second microservice that performs the second operation.

Abstract: Methods, computer program products, and systems are presented. The methods include, for instance: obtaining domain data sources on a monolith database operating in a subject domain. Entities and relations of the monolith database are identified. By decomposing the entities of the monolith database for key entities in the subject domain, entities for a distributed database that is functionally equivalent to the monolith database are identified. Transactions performed on the monolith database and the entities of the distributed database involved therein are identified and the transactions are decomposed for the distributed database.

Abstract: A system, method, and computer program product for determining “impact quantify measure-based” service chains cross interferences. The method includes quantifying the impact of one service chain on another service chain and to what extent so as facilitate making an informed decision whether to garner more resources and to fine tune the computational services for the service chain. There is further provided beforehand a certainty of required computational resources and the providing the impact or interferences details of one service chain on another helps in minimization of service quality degradation failures. The framework further runs a method step to apply a mutual convexity method on service chains to aid in forecasting cross interferences between chains and includes a step wherein, interferences between both dependent and independent service chain is calculated and provided.

Abstract: A computer identifies, within a hierarchical database, data elements associated with a selected function associated with the database, comprising. The computer identifies at least one function associated with a hierarchical database containing data elements. The computer, in response to identifying the function, identifies within a list of indica, at least one reference indicia corresponding to the at least one function. The computer identifies within a monolithic application relevant code elements associated with the reference indicia. The computer generates an activity log associated with execution of the relevant code elements. The computer identifies, within the activity log, a group of data elements associated with the execution of the relevant code elements. The computer generates a group data element clusters using a Machine Learning algorithm. The computer identifies at least one of the group of data element clusters as relevant to the at least one function.

Abstract: Generating a work-flow diagram from technology specific literature includes using an analysis of technology specific literature which includes using natural language processing (NLP), to derive semantics for a plurality of components defined in the technology specific literature. The plurality of components are associated to symbols in a component symbol database. The associated symbols are assigned to each of the plurality of components, respectively. A relationship is determined for each of the plurality of components. Nodes are assigned, and vectors are assigned when applicable, for each of the symbols. A work-flow diagram is generated for the technology specific literature using the assigned associated symbols for each of the plurality of components and the nodes and the vectors for each of the symbols.

Abstract: A processor may identify one or more sources. The processor may identify a respective requirement of each of the one or more sources. The processor may determine if a respective requirement is different than another respective requirement. The processor may locate each of the one or more sources in a respective slice on a different container available in a server of a network.

Abstract: A model is generating for predicting energy workloads to adjust electrical energy supply to meet varying short-term energy demands at a microcosm level. A model is developed, using a computer, to facilitate predicting energy workloads for adjusting energy supplies to meet an energy demand. The model includes receiving, at the computer, input parameters of dynamic values of workloads as historical data, and generating a predictive model by analyzing the input parameters. The model further includes predicting short-term energy demands based on the predictive model, the predicted short-term energy demands include identifying a predicted peak value. Also, the model includes initiating short term energy output in an electrical grid to a transformer level component in the electrical grid based on the predicted short term energy demands.

Abstract: A method, system, and computer program product for predicting optimal service characteristics to execute predicted IT tickets. The method may include identifying deployment characteristics for an operational system based on an architecture of the operational system. The method may also include receiving implementation data in response to past incident tickets based on the deployment characteristics. The method may also include identifying relationships within the implementation data. The method may also include predicting a volume of new tickets based on the implementation data and the relationships between the implementation data. The method may also include predicting a resolution time for high severity tickets in the volume of new tickets. The method may also include determining preferred service characteristics based on the volume of the new tickets and the resolution time for the high severity tickets.

Abstract: A method, computer program product, and a system where a processor(s) obtains a universe of social media items posted to a social media platform at a given time. The processor(s) determines a likelihood of each item of the universe of social media items becoming viral by linking each item of the universe to a breakout pattern based on predefined dimensions and bucketing each item into a defined grouping by a measure of anticipated virality of the item. The processor(s) applies a susceptible-infected-recovered (SIR) model as a differential equation to the bucketed items to determine an equilibrium and one or more breakout points. The processor(s) determines if a social media item will become viral based on whether the item matches at least one or the one or more breakout points.

Abstract: A method can include obtaining one or more gesture definitions. Each of the one or more gesture definitions can identify a correspondence between a set of gestures and a voice communication. The method can further include detecting that a mute function of a communication device is active. The mute function can prevent the communication device from transmitting audio data to one or more receiving devices. The method can further include obtaining gesture data from one or more input devices. The method can further include identifying a first gesture definition of the one or more gesture definitions. The identifying the first gesture definition can be based on the gesture data. The method can further include initiating a transfer of a first voice communication to the one or more receiving devices. The first voice communication can correspond to the first gesture definition.