Abstract: A computer-implemented method according to one embodiment includes defining a micro-operative of a first network. The first network has non-obligatory nodes, and the micro-operative includes rankings assigned to each of the nodes of the first network. Activated core covalences (ACCs) are established for the nodes. Each ACC defines a minimum number of neighboring nodes of the node associated with the ACC that, upon the minimum number of neighboring nodes being disconnected from the first network, cause the ranking of the associated node to decrease. An aggregated activated core covalence (A-ACC) is established, and the A-ACC corresponds to a sum of at least some of the ACCs of the nodes. The method further includes determining, based on the A-ACC, whether to perform a communication operation using a path that includes the nodes in the first network.

Abstract: A user-initiated request from a user device of a user is detected. The user-initiated request is directed to a product provider, the user-initiated request includes one or more parameters. an anonymized request is created based on the one or more parameters. The anonymized request is sent to the product provider. A provider response is received from the product provider. A targeted response is generated based on the one or more parameters of the user-initiated request and based on the provider response. The targeted response is transmitted to the user device of the user.

Abstract: Methods, computer program products, and systems are presented. The methods include, for instance: obtaining historical data of demand response programs and demand response agreements respective to each of the users regarding a subject energy. Training dataset for a DR user pooling model includes attributes of the demand response data collected that are relevant to responsivities of the demand response programs. The DR user pooling model is trained by the training dataset by machine learning. A DR user pool is identified amongst users of the demand response program by the DR user pooling model. Users in the DR user pool respond to demands as a group and the DR user pool is adjusted to improve responsivities of the demand response programs.

Abstract: Embodiments of the present invention provide computer-implemented methods, computer program products and computer systems. Embodiments of the present invention can identify an effective channel on a transmission stream framework comprising a plurality of channels and nodes using current capacity states and current transmission schedules.

Abstract: Cooperative session orchestration includes devising a crypt for pre-distribution of tokens, distributing the tokens to member nodes of the network, based on a request from a delegate node of the network for brokerage of a session between the delegate node and a supplier node of the network, creating and sending, for each of a plurality of potential supplier nodes of the network, a respective individual puzzle, receiving, from each of one or more potential supplier nodes of the plurality of potential supplier nodes, a respective result obtained by the potential supplier node from solving the individual puzzle using the token distributed to the potential supplier, identifying, based on the receiving, candidate supplier node(s) of the one or more potential supplier nodes as a potential supplier for the session with the delegate node, and identifying to the delegate node the candidate supplier node(s) for the session with the delegate node.

Abstract: Hybrid edge computing that includes a nimble framework that identifies services for available in a marketplace. The nimble framework defines a location for computing the services selected from the group consisting of a center server, an edge provision server and an edge node. The hybrid edge computing further includes a third party provider making are request for a service to the nimble framework. The hybrid edge computing further includes a virtualized service being provided by the nimble framework to the third party provider including a matched service to the third party provider request for the service, and an optimal location for computing.

Abstract: Generating a model for evaluating organizational skills to determine cost of entering a new market includes training a machine learning model to define business capabilities, processes and required skills of an organization based on a current business strategy, training the machine learning model to define a plurality of skill classes of the required skills of the organization using the cognitive computing processor device, training the machine learning model to define skill profiles of the available talent of the organization based on the plurality of skill classes, determining skill gaps of the available talent of the organization by analyzing the required skills of the organization and the skill profiles, assessing skills required for a new business strategy for the organization, and determining a cost of the organization executing the new business strategy based on the skill profiles, the at least one skill gap and the new business strategy skills.

Abstract: An example operation may include one or more of receiving a request to store a skill-based attribute of a user at a database, temporarily storing the skill-based attribute and an identification of one or more storage nodes associated with the skill-based attribute in a temporary data structure of the database, determining whether a predetermined amount of the one or more storage nodes have authenticated the user as having the skill-based attribute, and, in response successful authentication of the skill-based attribute by the predetermined amount of storage nodes, transferring the authenticated skill-based attribute from the temporary data structure to a primary data structure of the database.

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: Electronic circuit assemblies are provided, with an electronic circuit assembly including a transducer circuit to generate electrical energy based on applied pressure, and a static-electricity capture circuit to capture electrical energy from static-electrical charge. Further, the electronic circuit assembly includes a power management circuit electrically coupled to the transducer circuit and the static-electricity capture circuit to receive, at least in part, the generated electrical energy based on applied pressure at the transducer circuit and the electrical energy from static-electrical charge captured by the static-electricity capture circuit.

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: 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: 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.