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: A method, computer program product, and system include a processor(s) that obtains a request for a transaction to be processed by an application in a computing system. The processor(s) applies, to the request for the transaction, an outlier detection model, to determine whether the transaction comprises attributes matching transaction tuples of one or more historical transactions identified as triggering issues in the computing system when the application processed the historical transactions. The processor(s) classifies the transaction as being an outlier transaction or as being a standard transaction, based on applying the outlier detection model. Based on determining that the transaction is an outlier transaction, concurrently with the application processing the transaction, the processor(s) turn on the debug trace to debug trace the application processing of the transaction.

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: 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: 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: 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: 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: 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: 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 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: 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, 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 computer-implemented method includes: receiving, by a computing device, a request from a requester; determining, by the computing device, one or more delegates that are currently capable of handling the request; sending, by the computing device, a request package to each of the one or more delegates, the request package including an authentication challenge; receiving, by the computing device, a solution to the authentication challenge from a supplier, the solution being provided by a particular delegate of the one or more delegates; determining, by the computing device, the solution to the authentication challenge is valid; and instructing, by the computing device and in response to determining the solution to the authentication challenge is valid, the particular delegate to proceed with handling the request.

Abstract: An approach to generating a learning path framework may be provided. A Cognitive Bot may monitor the knowledge stream of a subject matter expert (SME) to glean insights from the activities and events performed by the SME. The CogBot determine categories within the subject matter. The CogBot may tune a grade scoring engine using the insights gleaned from the knowledge stream as a threshold for the grade scoring module. The knowledge stream of a second user may be monitored by a CogBot. A grade score of the subject matter for the second user may be generated by the grade scoring engine. An expertise level associated with the categories may be determined. A learning path framework may be generated based on the generated grade score and expertise level.