Abstract: A network function optimization method, system, and computer program product, include annotating network functions by providing constraints on a placement of different virtual network function chain components and optimizing the network function chain by modifying a structure of the network function chain based on the constraints in the annotating.

Abstract: A network function modification method, system, and computer program product, include terminating the connection-oriented session between a client and a server via at least two proxies, running a multipath connection-oriented session between the at least two proxies, if an insertion request is received, establishing a first multipath subflow with the new multipath subflow traversing the network function of the insertion request, and if a removal request is received, establishing a second multipath subflow with the new multipath subflow not traversing the network function of the removal request.

Abstract: A network function modification method, system, and computer program product, include terminating the connection-oriented session between a client and a server via at least two proxies, running a multipath connection-oriented session between the at least two proxies, if an insertion request is received, establishing a first multipath subflow with the new multipath subflow traversing the network function of the insertion request, and if a removal request is received, establishing a second multipath subflow with the new multipath subflow not traversing the network function of the removal request.

Abstract: Based on at least one manufacturing process characteristics associated with a manufacturing process, a prediction time at which to execute a selected machine learning model selected from multiple trained machine learning models is determined, and at the prediction time, the selected machine learning model is executed. Executing the selected machine learning model predicts a control set point for future values of state variables of the manufacturing process, for controlling the manufacturing process. Based on at least one of the manufacturing process characteristics, a learning time at which to train a machine learning model is determined, and at the learning time, the machine learning model is trained based on historical process data associated with the manufacturing process.

Abstract: Based on at least one manufacturing process characteristics associated with a manufacturing process, a prediction time at which to execute a selected machine learning model selected from multiple trained machine learning models is determined, and at the prediction time, the selected machine learning model is executed. Executing the selected machine learning model predicts a control set point for future values of state variables of the manufacturing process, for controlling the manufacturing process. Based on at least one of the manufacturing process characteristics, a learning time at which to train a machine learning model is determined, and at the learning time, the machine learning model is trained based on historical process data associated with the manufacturing process.

Abstract: A computer-implemented method is provided for fault diagnostics and recovery of network service chains. The method includes discovering, by a processor, a network graph representative of components of the network service chains. The method further includes identifying, by the processor, intersecting ones of the components of the network service chains in the network graph. The method also includes repairing, by the processor, one or more of the components of at least one of the network service chains based on a component repair sequence that maintains service continuity of the network service chains and that is determined based on a commonality.

Abstract: A computer-implemented method is provided for fault diagnostics and recovery of network service chains. The method includes discovering, by a processor, a network graph representative of components of the network service chains. The method further includes identifying, by the processor, intersecting ones of the components of the network service chains in the network graph. The method also includes repairing, by the processor, one or more of the components of at least one of the network service chains based on a component repair sequence that maintains service continuity of the network service chains and that is determined based on a commonality.

Abstract: A meeting summarization method, system, and computer program product, include recording meeting audio of a meeting, capturing notes including a time stamp from each of a plurality of users associated with the meeting, synchronizing the recorded meeting audio of the meeting and each of the notes of each of the plurality of users based on a correlation between the time stamp, and analyzing the synchronized meeting audio and notes to determine highlights of the meeting based on a co-occurrence of notes between the plurality of users.

Abstract: A meeting summarization method, system, and computer program product, include capturing notes of a user including a time stamp from the user associated with a meeting, synchronizing an agenda of the meeting and the notes of the user based on a correlation between a time stamp of a topic on the agenda and a time stamp of the notes of the user, and analyzing the synchronized topic and the notes to determine highlights of the meeting based on a co-occurrence of the time stamp of the notes of the user and the time stamp of the topic on the agenda.

Abstract: Systems, methods, and computer program products are disclosed for dynamically determining an optimal node of an overlay network for client attachment. An optimal node can be selected from a group of potential attachment nodes in the overlay network through which a client can establish a connection to the overlay network. Network parameter training data can be determined and used to train a network optimization model. Once trained, the network optimization model can be used to determine—based on network parameter data associated with the group of potential attachment nodes—the optimal node for the client to attach to. If a different node than a current attachment node is determined to be a new optimal node, a connection path can be established between this new optimal node and the client, and an existing connection path between the client and the previous optimal node can be terminated or simultaneously maintained.

Abstract: Embodiments are directed to a computer-implemented method of optimizing performance of a computer network. The method includes receiving a request to transmit data from a first location. For each path in a set of paths, where each path comprises a connection allowing the transmission of data from the location, a set of performance measures for the path is determined. For each path in the set of paths, an incremental cost of transmitting the requested data using the path is determined. Thereafter, the performance measures and incremental cost for each path is used to determine which path to use to transmit data. Data is then transmitted using the determined path using multipath transmission control protocol techniques (MP-TCP).

Abstract: A network function modification method, system, and computer program product, include terminating the connection-oriented session between a client and a server via at least two proxies, running a multipath connection-oriented session between the at least two proxies, if an insertion request is received, establishing a first multipath subflow with the new multipath subflow traversing the network function of the insertion request, and if a removal request is received, establishing a second multipath subflow with the new multipath subflow not traversing the network function of the removal request.

Abstract: A network function optimization method, system, and computer program product, include annotating network functions by providing constraints on a placement of different virtual network function chain components and optimizing the network function chain by modifying a structure of the network function chain based on the constraints in the annotating.

Abstract: A meeting summarization method, system, and computer program product, include recording meeting audio of a meeting, capturing notes including a time stamp from each of a plurality of users associated with the meeting, synchronizing the recorded meeting audio of the meeting and each of the notes of each of the plurality of users based on a correlation between the time stamp, and analyzing the synchronized meeting audio and notes to determine highlights of the meeting based on a co-occurrence of notes between the plurality of users.

Abstract: A recipe recommendation method, system, and non-transitory computer readable medium, include inferring a fine-grained user food profile from user data, recommending a recipe for the user based on a fitness score associated with a user-recipe pairing according to the fine-grained user food profile and recipe data, extracting ingredients from the recommended recipe, and creating a shopping list from the extracted ingredients.

Abstract: A meeting summarization method, system, and computer program product, include recording meeting audio of a meeting, capturing notes including a time stamp from each of a plurality of users associated with the meeting, synchronizing the recorded meeting audio of the meeting and each of the notes of each of the plurality of users based on a correlation between the time stamp, and analyzing the synchronized meeting audio and notes to determine highlights of the meeting based on a co-occurrence of notes between the plurality of users.

Abstract: A provenance method, system, and non-transitory computer readable medium for a plurality of eidetic systems having logs, include a log-segment clustering circuit configured to crawl the logs of each of the eidetic systems to cluster segments across the logs of temporally correlated events into clustered segments, a probabilistic interleaving circuit configured to analyze the correlated segments to interleave an order of processes in the logs and assign a probability to the order of the processes occurring, and a probabilistic linearization circuit configured to create a probability tree which includes a total probability that a process in the clustered segments causes a next process in the clustered segments until an end of the temporal event of the clustered segments for each of the interleaved order of processes interleaved by the probabilistic interleaving circuit.

Abstract: Techniques for making shopping recommendations based on a user's social ties to friends and family are provided. In one aspect, a method for making shopping recommendations is provided. The method includes the steps of: collecting shopping data from users, wherein the users comprise a first user and one or more second users with social ties to the first user; and making recommendations to the first user based on the shopping data while the first user is shopping at a store, wherein the recommendations include preferences of the second users with social ties to the first user. A system for making shopping recommendations is also provided.

Abstract: Techniques for monitoring and managing applications in an environment with distributed administrative domains (such as a micro-cloud environment) are provided. In one aspect, a method for managing an application in an environment with distributed administrative domains includes the steps of: identifying points in a life cycle of the application where communication is allowed between the distributed administrative domains; obtaining, by the provider, management specific information for the application at the points identified in the life cycle of the application where communication is allowed between the distributed administrative domains, wherein the obtaining is performed using a filtering script provided by the user and a management script provided by the provider to validate that the management specific information conforms to a predetermined information exchange criteria; and performing management functions using the management specific information.

Abstract: Methods and systems for targeted advertisement include transmitting a pre-filter to a user device, responsive to contextual information supplied by the user device to determine one or more inferences based on physical browsing information, collected at the user device, in compliance with one or more privacy policies of the user. One or more targeted advertisements are determined, using a processor, based on the one or more inferences. The one or more targeted advertisements are transmitted to the user device.