Abstract: Systems and methods are disclosed for implementing a vehicle shadow service configured to construct and maintain up-to-date vehicle shadows using asynchronously received disaggregated vehicle data. For example, different sensors of a vehicle may provide sensor data into a data stream at different times in a disaggregated manner. A vehicle shadow may be constructed using partial sensor data from a sub-set of sensors of the vehicle, and may be updated or augmented using asynchronously received sensor data from other sensors of the vehicle.

Abstract: An approach for parallel deduplication using automatic chunk sizing. A dynamic chunk deduplicator receives a request to perform data deduplication where the request includes an identification of a dataset. The dynamic chunk deduplicator analyzes file level usage for one or more data files including the dataset to associate a deduplication chunk size with the one or more data files. The dynamic chunk deduplicator creates a collection of data segments from the dataset, based on the deduplication chunk size associated with the one or more data files. The dynamic chunk deduplicator creates a deduplication data chunk size plan where the deduplication data chunk size plan includes deduplication actions for the collection of data segments and outputs the deduplication data chunk size plan.

Abstract: An embodiment of the invention may include a method, computer program product, and system for network attached storage configuration. The embodiment may include receiving a request, from a network storage administrator, to create a network share on a network attached storage for a network server. Based on the received request, sending an operating system identifier probe to the network server to identify an operating system deployed on the network server. The embodiment may include receiving an identification of the operating system deployed on the network server. Based on the identified operating system deployed on the network server, configuring the network share on the network attached storage. Configuring the network share on the network attached storage may include selecting a network protocol filesystem type compatible with the identified operating system deployed on the network server. The embodiment may include testing compatibility between the network share and network server.

Abstract: An approach for parallel deduplication using automatic chunk sizing. A dynamic chunk deduplicator receives a request to perform data deduplication where the request includes an identification of a dataset. The dynamic chunk deduplicator analyzes file level usage for one or more data files including the dataset to associate a deduplication chunk size with the one or more data files. The dynamic chunk deduplicator creates a collection of data segments from the dataset, based on the deduplication chunk size associated with the one or more data files. The dynamic chunk deduplicator creates a deduplication data chunk size plan where the deduplication data chunk size plan includes deduplication actions for the collection of data segments and outputs the deduplication data chunk size plan.

Abstract: An embodiment of the invention may include a method, computer program product, and system for network attached storage configuration. The embodiment may include receiving a request, from a network storage administrator, to create a network share on a network attached storage for a network server. Based on the received request, sending an operating system identifier probe to the network server to identify an operating system deployed on the network server. The embodiment may include receiving an identification of the operating system deployed on the network server. Based on the identified operating system deployed on the network server, configuring the network share on the network attached storage. Configuring the network share on the network attached storage may include selecting a network protocol filesystem type compatible with the identified operating system deployed on the network server. The embodiment may include testing compatibility between the network share and network server.

Abstract: An approach for parallel deduplication using automatic chunk sizing. A dynamic chunk deduplicator receives a request to perform data deduplication where the request includes an identification of a dataset. The dynamic chunk deduplicator analyzes file level usage for one or more data files including the dataset to associate a deduplication chunk size with the one or more data files. The dynamic chunk deduplicator creates a collection of data segments from the dataset, based on the deduplication chunk size associated with the one or more data files. The dynamic chunk deduplicator creates a deduplication data chunk size plan where the deduplication data chunk size plan includes deduplication actions for the collection of data segments and outputs the deduplication data chunk size plan.

Abstract: An embodiment of the invention may include a method, computer program product, and system for network attached storage configuration. The embodiment may include receiving a request, from a network storage administrator, to create a network share on a network attached storage for a network server. Based on the received request, sending an operating system identifier probe to the network server to identify an operating system deployed on the network server. The embodiment may include receiving an identification of the operating system deployed on the network server. Based on the identified operating system deployed on the network server, configuring the network share on the network attached storage. Configuring the network share on the network attached storage may include selecting a network protocol filesystem type compatible with the identified operating system deployed on the network server. The embodiment may include testing compatibility between the network share and network server.

Abstract: An embodiment of the invention may include a method, computer program product, and system for network attached storage configuration. The embodiment may include receiving a request, from a network storage administrator, to create a network share on a network attached storage for a network server. Based on the received request, sending an operating system identifier probe to the network server to identify an operating system deployed on the network server. The embodiment may include receiving an identification of the operating system deployed on the network server. Based on the identified operating system deployed on the network server, configuring the network share on the network attached storage. Configuring the network share on the network attached storage may include selecting a network protocol filesystem type compatible with the identified operating system deployed on the network server. The embodiment may include testing compatibility between the network share and network server.

Abstract: An approach for parallel deduplication using automatic chunk sizing. A dynamic chunk deduplicator receives a request to perform data deduplication where the request includes an identification of a dataset. The dynamic chunk deduplicator analyzes file level usage for one or more data files including the dataset to associate a deduplication chunk size with the one or more data files. The dynamic chunk deduplicator creates a collection of data segments from the dataset, based on the deduplication chunk size associated with the one or more data files. The dynamic chunk deduplicator creates a deduplication data chunk size plan where the deduplication data chunk size plan includes deduplication actions for the collection of data segments and outputs the deduplication data chunk size plan.

Abstract: An approach for parallel deduplication using automatic chunk sizing. A dynamic chunk deduplicator receives a request to perform data deduplication where the request includes an identification of a dataset. The dynamic chunk deduplicator analyzes file level usage for one or more data files including the dataset to associate a deduplication chunk size with the one or more data files. The dynamic chunk deduplicator creates a collection of data segments from the dataset, based on the deduplication chunk size associated with the one or more data files. The dynamic chunk deduplicator creates a deduplication data chunk size plan where the deduplication data chunk size plan includes deduplication actions for the collection of data segments and outputs the deduplication data chunk size plan.

Abstract: An approach for parallel deduplication using automatic chunk sizing. A dynamic chunk deduplicator receives a request to perform data deduplication where the request includes an identification of a dataset. The dynamic chunk deduplicator analyzes file level usage for one or more data files including the dataset to associate a deduplication chunk size with the one or more data files. The dynamic chunk deduplicator creates a collection of data segments from the dataset, based on the deduplication chunk size associated with the one or more data files. The dynamic chunk deduplicator creates a deduplication data chunk size plan where the deduplication data chunk size plan includes deduplication actions for the collection of data segments and outputs the deduplication data chunk size plan.

Abstract: System and method for editing a graphical program. One or more nodes are included in a graphical program in response to user input selecting the one or more nodes, where each node has a respective one or more terminals for receiving input to or providing output from the node. User input is received indicating a terminal on a first node of the one or more nodes to which a node is to be connected. One or more suggested graphical program elements to include in the graphical program are automatically presented based on the indicated terminal, where the one or more suggested graphical program elements are selectable by the user for inclusion in the graphical program.

Abstract: A method and system for generating a profile for a web page. The method and system includes extracting one or more phrases associated with one or more referring URLs to the web page and determining a phrase relevance distribution including a phrase relevance probability for each of the one or more extracted phrases. The method and system further includes applying at least one phrase relevance probability in the phrase relevance distribution to social media traffic directed to the web page and generating an inferred phrase relevance probability for the social media traffic based on the application of the at least one phrase relevance probability.

Abstract: System and method for editing a graphical program. One or more nodes are included in a graphical program in response to user input selecting the one or more nodes, where each node has a respective one or more terminals for receiving input to or providing output from the node. User input is received indicating a terminal on a first node of the one or more nodes to which a node is to be connected. One or more suggested graphical program elements to include in the graphical program are automatically presented based on the indicated terminal, where the one or more suggested graphical program elements are selectable by the user for inclusion in the graphical program.