Abstract: Transporting loads is a fundamental component of intralogistics. Autonomous industrial trucks can be used for this. The autonomous industrial truck claimed according to the invention is able, by means of the implemented navigation, load receiving and load placing methods, to ensure efficient transporting of loads. The invention relates to an autonomous industrial truck having a rearwardly-directed sensor unit for detecting the load and the loading environment and implemented process sequences for approaching the load, receiving the load and placing the load.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, that facilitate resource and space efficient analysis of large scale datasets. Methods include obtaining activity data for objects in a dataset. For each data item in the dataset, a hashed parameter having a binary representation is generated using an identifier for the object. A register is identified from among a set of registers based on the hashed parameter. A determination is made that the hashed parameter for the object contributes to an aggregation amount that specifies a number of occurrences of the object in the dataset. Based on this determination, an aggregation amount stored in the register is updated. Based on aggregation amounts stored in the set of registers, a reporting output is generated that provides an aggregate distribution of the objects in the dataset based on the activity data for the objects.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, that facilitate resource and space efficient analysis of large scale datasets. Methods include obtaining activity data for objects in a dataset. For each data item the dataset, a hashed parameter having a binary representation is generated using an identifier for the object. A register is identified from in a set of registers based on the hashed parameter. A determination is made that the hashed, parameter for the object contributes to an aggregation amount that specifies a number of occurrences of the object in the dataset Based on this determination, an aggregation amount stored in the register is updated. Based on aggregation amounts stored in the set of registers, a reporting output is generated that provides an aggregate distribution of the objects in the dataset based on the activity data for the objects.

Abstract: Methods, systems, and computer readable medium for reducing inconsistencies in output between an original model and a new model. The method includes receiving an original model and a new model, mapping structures of the new model to structures of the original model, classifying each structure of the new model as belonging to a group of the original model, an unused group not in the original model, a subset of a group of the original model, or a merged set of a first and a second, different group of the original model, generating a merged model based on the mapping and classifying, and classifying a unique entities, using the merged model, by applying consistent hashing to each of the unique entities.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for an object grouping system that obtains data for multiple sketches that are each stored using a set of registers and are a sampling of objects in a dataset. Each object in the dataset is a member of a digital audience. For each sketch, the system uses an identifier for a first object to generate a hashed parameter. The system determines whether the hashed parameter contributes to describing demographic attributes of the sampling of objects. The system stores demographic attributes of the first object at a register in the set when it determines that the hashed parameter contributes to describing the demographic attributes. The system generates an output that indicates a number of objects in the digital audience that were reached by content directed at the digital audience and demographic attributes for the number of objects.

Abstract: Systems and methods according to various embodiments disclose a worker process manager adapted to spawn one or more worker processes on a server and to load an application on each of the worker processes. The worker process manager is adapted to isolate the one or more worker processes from each other and to control resource usage by the worker processes. A resource manager is adapted to detect applications that overuse system resources. The worker process manager is adapted to isolate worker processes and to control resource usage using one or more of the following techniques: least-privilege execution, messaging isolation, credentials isolation, data isolation, network isolation, fair share resource usage, and managed runtime security. Heuristic algorithms are used to detect applications that frequently overuse system resources that are unchargeable and that cause system unresponsiveness.

Abstract: Systems and methods according to various embodiments disclose a worker process manager adapted to spawn one or more worker processes on a server and to load an application on each of the worker processes. The worker process manager is adapted to isolate the one or more worker processes from each other and to control resource usage by the worker processes. A resource manager is adapted to detect applications that overuse system resources. The worker process manager is adapted to isolate worker processes and to control resource usage using one or more of the following techniques: least-privilege execution, messaging isolation, credentials isolation, data isolation, network isolation, fair share resource usage, and managed runtime security. Heuristic algorithms are used to detect applications that frequently overuse system resources that are unchargeable and that cause system unresponsiveness.

Abstract: A container service is capable of hosting large numbers of middleware components for multiple tenants. A central container manager controls a plurality of compute nodes. The central container manager receives middleware components from external devices or services and assigns the components to containers on one or more designated compute nodes. Each compute node has a container management agent and one or more containers. The container management agents activate and manage the appropriate number of containers to run the assigned middleware components. The container management agent assigns each container on its compute node a limited set of privileges to control access to shared resources. The central container manager and each node's container management agent monitor container load levels and dynamically adjust the placement of the middleware components to maintain balanced operation. The compute nodes are grouped into clusters based upon the type of middleware components hosted on each compute node.

Abstract: A container service is capable of hosting large numbers of middleware components for multiple tenants. A central container manager controls a plurality of compute nodes. The central container manager receives middleware components from external devices or services and assigns the components to containers on one or more designated compute nodes. Each compute node has a container management agent and one or more containers. The container management agents activate and manage the appropriate number of containers to run the assigned middleware components. The container management agent assigns each container on its compute node a limited set of privileges to control access to shared resources. The central container manager and each node's container management agent monitor container load levels and dynamically adjust the placement of the middleware components to maintain balanced operation. The compute nodes are grouped into clusters based upon the type of middleware components hosted on each compute node.

Abstract: Various technologies and techniques are disclosed that improve failure handling and debugging in message driven environments. A diagramming tool allows a user to graphically nest one or more functional components of the data flow diagram to create a fault handler. The fault handler is associated with a failure component to be called when a failure occurs within any one or more of the nested functional components. One or more application executables are synthesized from the data flow diagram. When the nested component is created at runtime, a causality is created for the nested component. The causality has an exception port for receiving fault messages that are unhandled within the nested data flow associated with the nested component. The causality also has a coordination port to allow any messages in the causality context and/or other applications to access the error history and the message coordination history.

Abstract: Various technologies and techniques are disclosed that improve failure handling and debugging in message driven environments. A diagramming tool allows a user to graphically nest one or more functional components of the data flow diagram to create a fault handler. The fault handler is associated with a failure component to be called when a failure occurs within any one or more of the nested functional components. One or more application executables are synthesized from the data flow diagram. When the nested component is created at runtime, a causality is created for the nested component. The causality has an exception port for receiving fault messages that are unhandled within the nested data flow associated with the nested component. The causality also has a coordination port to allow any messages in the causality context and/or other applications to access the error history and the message coordination history.

Abstract: Systems and methods of optimizing a visual programming language dataflow diagram are disclosed herein. A set of work units of the visual programming language dataflow diagram is parsed. A subset of the set of work units that follow a programming pattern is identified. The programming pattern can be a set of criteria satisfied by the subset of work units. A comprehension work unit that maps to the programming pattern can be selected. In one embodiment, the comprehension work unit can be a run-length comprehension work unit, a join comprehension work unit, a choice comprehension work unit, or a merge comprehension work unit. The subset of work units in the visual programming language dataflow diagram is replaced with the comprehension work unit. Imperative computer code can then be generated from the visual programming language dataflow diagram.

Abstract: A system for distributed debugging of a visual programming language computer application. The system includes an execution environment such as a runtime environment to execute a visual programming language computer application. The system also includes a debugging engine to manipulate execution of the a visual programming language application being debugged. Both the execution environment and the debugging engine offer data and methods over a network connection such that either a networked or local debugger user interface may debug the visual programming language computer application. The debugger user interface may be instantiated on a world wide web browser using a received image file representing the visual programming language application, the debugging state, and presentation logic. More than one debugger user interface may interact with the debugging engine at one, allowing distributed debugging of the visual programming language application.

Abstract: Various technologies and techniques are disclosed that improve failure handling and debugging in message driven environments. A diagramming tool allows a user to graphically nest one or more functional components of the data flow diagram to create a fault handler. The fault handler is associated with a failure component to be called when a failure occurs within any one or more of the nested functional components. One or more application executables are synthesized from the data flow diagram. When the nested component is created at runtime, a causality is created for the nested component. The causality has an exception port for receiving fault messages that are unhandled within the nested data flow associated with the nested component. The causality also has a coordination port to allow any messages in the causality context and/or other applications to access the error history and the message coordination history.

Abstract: Various technologies and techniques are disclosed that improve failure handling and debugging in message driven environments. A diagramming tool allows a user to graphically nest one or more functional components of the data flow diagram to create a fault handler. The fault handler is associated with a failure component to be called when a failure occurs within any one or more of the nested functional components. One or more application executables are synthesized from the data flow diagram. When the nested component is created at runtime, a causality is created for the nested component. The causality has an exception port for receiving fault messages that are unhandled within the nested data flow associated with the nested component. The causality also has a coordination port to allow any messages in the causality context and/or other applications to access the error history and the message coordination history.