Abstract: A data-brokerage service that facilitates data sharing between Internet-of-Things (IoT) platforms via peer-to-peer connections is described. In various embodiments, the data-brokerage service receives, from an IoT platform acting as data consumer, a selection of data fields included in a plurality of data streams provided from a plurality of respective IoT platforms acting as data producers. Responsive to the selection, the data-brokerage service causes the plurality of data-producer platforms to stream at least the selected data fields of the plurality of data streams to the data-consumer platform, and causes the data-consumer platform to combine the streamed data fields received from the plurality of data-producer platforms into a single target data stream.

Abstract: System and methods for enforcing service level agreements (SLAs) between computing platforms engaged in (e.g., Internet-of-Things) data exchange via peer-to-peer (P2P) connections are described. In accordance with various embodiments, data traffic via the P2P connections is monitored, and if an SLA violation is detected, data streams are rerouted to cure the violation.

Abstract: System and methods for enforcing service level agreements (SLAs) between computing platforms engaged in (e.g., Internet-of-Things) data exchange via peer-to-peer (P2P) connections are described. In accordance with various embodiments, data traffic via the P2P connections is monitored, and if an SLA violation is detected, data streams are rerouted to cure the violation.

Abstract: System and methods for enforcing service level agreements (SLAs) between computing platforms engaged in (e.g., Internet-of-Things) data exchange via peer-to-peer (P2P) connections are described. In accordance with various embodiments, data traffic via the P2P connections is monitored, and if an SLA violation is detected, data streams are rerouted to cure the violation.

Abstract: A data-brokerage service that facilitates data sharing between Internet-of-Things (IoT) platforms via peer-to-peer connections is described. In various embodiments, the data-brokerage service receives, from an IoT platform acting as data consumer, a selection of data fields included in a plurality of data streams provided from a plurality of respective IoT platforms acting as data producers. Responsive to the selection, the data-brokerage service causes the plurality of data-producer platforms to stream at least the selected data fields of the plurality of data streams to the data-consumer platform, and causes the data-consumer platform to combine the streamed data fields received from the plurality of data-producer platforms into a single target data stream.

Abstract: A data-brokerage service that facilitates data sharing between Internet-of-Things (IoT) platforms via peer-to-peer connections is described. In various embodiments, the data-brokerage service receives, from an IoT platform acting as data consumer, a selection of data fields included in a plurality of data streams provided from a plurality of respective IoT platforms acting as data producers. Responsive to the selection, the data-brokerage service causes the plurality of data-producer platforms to stream at least the selected data fields of the plurality of data streams to the data-consumer platform, and causes the data-consumer platform to combine the streamed data fields received from the plurality of data-producer platforms into a single target data stream.

Abstract: The present disclosure involves systems, software, and computer implemented methods for provisioning insight services in a data provider landscape. A method includes presenting an algorithm description of an algorithm provided by an algorithm provider that is to be executed in a landscape of a data provider. Selection of the algorithm is received from a data consumer. The selected algorithm is provided to an agent at the data provider. The agent is configured to provision resources in the landscape of the data provider, according to the algorithm description, to enable execution of the selected algorithm in the landscape of the data provider. The agent is configured to execute the selected algorithm in the landscape of the data provider, using data included in the landscape of the data provider, producing one or more outputs. The agent is configured to enable monitoring of the execution of the selected algorithm.

Abstract: Techniques are described for sharing data among Internet of Things (IoT) networks. An IoT network may include a platform that collects data generated by IoT devices. The platform may execute an agent that sends a communication to indicate the network presence of the sending platform to broker module(s) that support a data sharing service. The communication may also indicate the type and/or quantity of data generated by the sending platform and available to be shared with other receiving platforms in other IoT networks. The data broker module(s) may generate and send security tokens to the agents executing on the sending platform and receiving platform(s). Using the security tokens, the respective agents may establish a peer-to-peer (P2P) connection over a network over which the data is streamed in real time as it is received and/or processed by the sending platform.

Abstract: A data-brokerage service that facilitates data sharing between Internet-of-Things (IoT) platforms via peer-to-peer connections is described. In various embodiments, the data-brokerage service receives, from an IoT platform acting as data consumer, a selection of data fields included in a plurality of data streams provided from a plurality of respective IoT platforms acting as data producers. Responsive to the selection, the data-brokerage service causes the plurality of data-producer platforms to stream at least the selected data fields of the plurality of data streams to the data-consumer platform, and causes the data-consumer platform to combine the streamed data fields received from the plurality of data-producer platforms into a single target data stream.

Abstract: A data-brokerage service that facilitates data sharing between Internet-of-Things (IoT) platforms via peer-to-peer connections is described. In various embodiments, the data-brokerage service receives, from an IoT platform acting as data consumer, a selection of data fields included in a plurality of data streams provided from a plurality of respective IoT platforms acting as data producers. Responsive to the selection, the data-brokerage service causes the plurality of data-producer platforms to stream at least the selected data fields of the plurality of data streams to the data-consumer platform, and causes the data-consumer platform to combine the streamed data fields received from the plurality of data-producer platforms into a single target data stream.

Abstract: Techniques are described for sharing data among Internet of Things (IoT) networks. An IoT network may include a platform that collects data generated by IoT devices. The platform may execute an agent that sends a communication to indicate the network presence of the sending platform to broker module(s) that support a data sharing service. The communication may also indicate the type and/or quantity of data generated by the sending platform and available to be shared with other receiving platforms in other IoT networks. The data broker module(s) may generate and send security tokens to the agents executing on the sending platform and receiving platform(s). Using the security tokens, the respective agents may establish a peer-to-peer (P2P) connection over a network over which the data is streamed in real time as it is received and/or processed by the sending platform.

Abstract: In an example embodiment, a method of redirecting responses from an application server in a cloud environment is provided. A request is received from an instance of an application operating on a client device. The request is forwarded to an application server corresponding to the application. A generic error message from the application server sent in response to the user request is intercepted and the generic error message is redirected to a special application server hosting a special account established for the application, the special account indicating one or more actions to take in response to receipt of a generic error message, the one or more actions causing generation of a special error message and sending of the special error message to the instance of the application operating on the client device.

Abstract: Techniques are described for sharing data among Internet of Things (IoT) networks. An IoT network may include a platform that collects data generated by IoT devices. The platform may execute an agent that sends a communication to indicate the network presence of the sending platform to broker module(s) that support a data sharing service. The communication may also indicate the type and/or quantity of data generated by the sending platform and available to be shared with other receiving platforms in other IoT networks. The data broker module(s) may generate and send security tokens to the agents executing on the sending platform and receiving platform(s). Using the security tokens, the respective agents may establish a peer-to-peer (P2P) connection over a network over which the data is streamed in real time as it is received and/or processed by the sending platform.

Abstract: System and methods for enforcing service level agreements (SLAs) between computing platforms engaged in (e.g., Internet-of-Things) data exchange via peer-to-peer (P2P) connections are described. In accordance with various embodiments, data traffic via the P2P connections is monitored, and if an SLA violation is detected, data streams are rerouted to cure the violation.

Abstract: A data-brokerage service that facilitates data sharing between Internet-of-Things (IoT) platforms via peer-to-peer connections is described. In various embodiments, the data-brokerage service receives, from an IoT platform acting as data consumer, a selection of data fields included in a plurality of data streams provided from a plurality of respective IoT platforms acting as data producers. Responsive to the selection, the data-brokerage service causes the plurality of data-producer platforms to stream at least the selected data fields of the plurality of data streams to the data-consumer platform, and causes the data-consumer platform to combine the streamed data fields received from the plurality of data-producer platforms into a single target data stream.

Abstract: The present disclosure involves systems, software, and computer implemented methods for provisioning insight services in a data provider landscape. A method includes presenting an algorithm description of an algorithm provided by an algorithm provider that is to be executed in a landscape of a data provider. Selection of the algorithm is received from a data consumer. The selected algorithm is provided to an agent at the data provider. The agent is configured to provision resources in the landscape of the data provider, according to the algorithm description, to enable execution of the selected algorithm in the landscape of the data provider. The agent is configured to execute the selected algorithm in the landscape of the data provider, using data included in the landscape of the data provider, producing one or more outputs. The agent is configured to enable monitoring of the execution of the selected algorithm.

Abstract: The present disclosure involves systems, software, and computer implemented methods for generating NER dictionaries from structured business data. In one example, a method may include identifying a set of structured data for use in generating a NER dictionary, identifying a particular collection within the identified structured data to use in the dictionary generation, the particular identified collection including a plurality of values, identifying at least one variant of the value for each value in the particular identified collection, each of the at least one variants of the value including at least a portion of the underlying value, determining a set of unique variants from the identified at least one variants across each of the values in the particular identified subset, adding the determined set of unique variants to the generated dictionary, each unique variant added to the generated dictionary being associated with the value from which the unique variant was derived.

Abstract: A method, medium, and system to receive a request to add a resource to a cache, the resource including a data object and a context item key associated with the resource and uniquely identifying a context of use referenced by the context item key; determine whether the resource is stored in the cache; store, in response to the determination that the resource is not stored in the cache, the resource in the cache; and add the context item key of the resource stored in the cache to a record of reference list of resources.

Abstract: According to some embodiments, a suggestion platform associated with a content aggregation system may access a plurality of data context trigger criteria associated with potential business information content elements. Each data context trigger criteria may include, for example: (i) a data locator associated with a business information data structure, (ii) an operator, and (iii) a threshold. For each data context trigger criteria, it may be automatically determined if a value in the business information data structure satisfies the data context trigger criteria based on the operator and the threshold. When a data context trigger criteria is satisfied, it may be automatically suggested to a user that the potential business information content element associated with that data context trigger criteria be added to a user display of the content aggregation system.

Abstract: Techniques are described for sharing data among Internet of Things (IoT) networks. An IoT network may include a platform that collects data generated by IoT devices. The platform may execute an agent that sends a communication to indicate the network presence of the sending platform to broker module(s) that support a data sharing service. The communication may also indicate the type and/or quantity of data generated by the sending platform and available to be shared with other receiving platforms in other IoT networks. The data broker module(s) may generate and send security tokens to the agents executing on the sending platform and receiving platform(s). Using the security tokens, the respective agents may establish a peer-to-peer (P2P) connection over a network over which the data is streamed in real time as it is received and/or processed by the sending platform.