Mobile agents can be deployed to location aware mobile devices within specific regions of interest to achieve specific goals in respect of events occurring in the region of interest. In order to ensure that the agent can persist within the region of interest until the agent goals are achieved, the agent is configured to locate other devices within the region of interest and to propagate itself, by moving or copying itself, to those other devices. When a device hosting the agent exits the region of interest, the agent is terminated, thereby freeing device resources.

A method for identifying a second device by a first device for establishing a communication between the first device and the second device is described here. The method includes receiving, by a processor of a first device, a voice command from a worker in a workplace. In an example, the method comprises pausing, by the processor, a workflow operation executing on the first device. The method further comprises performing, by the processor, a voice recognition to analyze the voice command of the worker. The method includes activating, by the processor, a communication module of the first device based on the voice recognition, to identify a second device in proximity to the first device. The method includes terminating, by the processor, a connection between the first device and the wearable electronic device. Thus, terminating, by the processor, a second connection of the first device with the second device.

Disclosed herein is a method and system for dynamically integrating a plurality of BOTs. The method comprises creating the plurality of BOTs offering one or more automated services, wherein each of the plurality of BOTs has a common BOT structure comprising one or more field parameters. One or more predefined functions are assigned to each of the plurality of BOTs, wherein at least one of the one or more predefined functions comprises a function value. A maturity score for each of the plurality of BOTs is determined based on the one or more field parameters and the function value upon assigning the one or more predefined functions to each of the plurality of BOTs. Finally, the plurality of BOTs are integrated by synchronizing data amongst the plurality of BOTs based on the maturity score.

The present disclosure relates to a method of transferring settings of a motor-operated door system, wherein, in said method, at least one property of a door is transferred to a mobile end device, at least one property of a drive that drives the door is transferred to the mobile end device, settings for the combination of the properties of the door and the drive are requested from a database via the mobile end device, settings for the combination of the door and the drive are sent from the database to the mobile end device, and the settings received by the mobile end device are transferred to the drive of the door system.

A data onboarding network includes a data onboarding configurator to generate a number of data onboarding objects, each of these data onboarding objects including subscription metadata for reading data from a data source and publication metadata for writing data to a destination data store. According to one implementation, the data onboarding system also includes an execution engine task store to store various data onboarding tasks, where the data onboarding tasks are configured to pull data from the data source using the subscription metadata and to write data to the destination data store using the publication metadata. An execution engine executes one or more of these data onboarding tasks.

In a network of mobile agents, data integrity can be improved by providing an agent server that can migrate between devices operating in the region of interest (ROI). The agent server distributes agent clients onto devices in the ROI and provides agent server services to the agent clients, including receiving and storing data from the agents. When the agent server device is to leave the ROI, the agent server can migrate to any device executing an agent client and continue to provide the agent server services, including data collection and aggregation, from the device to which the agent server has migrated.

An implementation of a method for live-migrating virtual machines includes: acquiring, when receiving a request for live-migrating a virtual machine to a target physical machine, CPU information of a source physical machine and CPU information of the target physical machine; determining whether a CPU instruction set architecture of the source physical machine is compatible with a CPU instruction set architecture of the target physical machine; determining whether CPU features of the source physical machine are compatible with CPU features of the target physical machine, if the two CPU instruction set architecture are compatible; determining whether incompatible CPU features between the source physical machine and the target physical machine are in a preset list, if the two CPU instruction set architecture are not compatible; and live-migrating the virtual machine from the source physical machine to the target physical machine, in response to determining that the incompatible CPU features are in the preset list.

In one embodiment, a supervisory device in a network receives a help request from a first node in the network indicative of a problem in the network detected by the first node. The supervisory device identifies a second node in the network that is hosting a repair walker agent able to address the detected problem. The supervisory device determines a network path via which the second node is to send repair walker agent to the first node. The supervisory device instructs the second node to send the repair walker agent to the first node via the determined path.

In one embodiment, a method includes maintaining contextual information from a first user request associated with a first task by a context engine, wherein the first task is associated with a first agent, receiving a second user request associated with a second task from a client system, wherein the second user request comprises an ambiguous mention and the second task is associated with a second agent, determining a context carryover is required for the second agent to execute the second task, determining the ambiguous mention corresponds to one or more data items associated with the contextual information from the first user request, and providing the one or more data items to the second agent for execution of the second task.

A CPU is allocated in view of service requirements of a virtual machine. An IaaS platform generates a virtual CPU and a virtual machine on a physical CPU of a compute node and allocates the virtual CPU to the virtual machine. This IaaS platform includes a resource allocation determination unit 32 configured to generate an instruction to cause the virtual CPU allocated to the virtual machine to occupy a physical CPU of a designated compute node in a case where load to be imposed on a process which is to run on the virtual machine is higher than a predetermined value, and generate an instruction to pin the virtual CPU at the physical CPU in a case where latency requirements of the process are stricter than a predetermined value, and generate an instruction not to pin the virtual CPU at the physical CPU in a case where the latency requirements of the process are laxer than a predetermined value, and a virtual machine generation management unit 34 configured to generate a new virtual machine on the physical CPU of the compute node in response to the instruction from the resource allocation determination unit.