Abstract: Various systems and methods for implementing a software defined industrial system are described herein. For example, an orchestrated system of distributed nodes may run an application, including modules implemented on the distributed nodes. In response to a node failing, a module may be redeployed to a replacement node. In an example, self-descriptive control applications and software modules are provided in the context of orchestratable distributed systems. The self-descriptive control applications may be executed by an orchestrator or like control device and use a module manifest to generate a control system application. For example, an edge control node of the industrial system may include a system on a chip including a microcontroller (MCU) to convert IO data. The system on a chip includes a central processing unit (CPU) in an initial inactive state, which may be changed to an activated state in response an activation signal.

Abstract: Various systems and methods for implementing a software defined industrial system are described herein. For example, an orchestrated system of distributed nodes may run an application, including modules implemented on the distributed nodes. In response to a node failing, a module may be redeployed to a replacement node. In an example, self-descriptive control applications and software modules are provided in the context of orchestratable distributed systems. The self-descriptive control applications may be executed by an orchestrator or like control device and use a module manifest to generate a control system application. For example, an edge control node of the industrial system may include a system on a chip including a microcontroller (MCU) to convert IO data. The system on a chip includes a central processing unit (CPU) in an initial inactive state, which may be changed to an activated state in response an activation signal.

Abstract: Various systems and methods may be used to implement a software defined industrial system. For example, an orchestrated system of distributed nodes may run an application, including modules implemented on the distributed nodes. The orchestrated system may include an orchestration server, a first node executing a first module, and a second node executing a second module. In response to the second node failing, the second module may be redeployed to a replacement node (e.g., the first node or a different node). The replacement mode may be determined by the first node or another node, for example based on connections to or from the second node.

Abstract: Various systems and methods for implementing a software defined industrial system are described herein. For example, an orchestrated system of distributed nodes may run an application, including modules implemented on the distributed nodes. In response to a node failing, a module may be redeployed to a replacement node. In an example, self-descriptive control applications and software modules are provided in the context of orchestratable distributed systems. The self-descriptive control applications may be executed by an orchestrator or like control device and use a module manifest to generate a control system application. For example, an edge control node of the industrial system may include a system on a chip including a microcontroller (MCU) to convert IO data. The system on a chip includes a central processing unit (CPU) in an initial inactive state, which may be changed to an activated state in response an activation signal.

Abstract: Various systems and methods for implementing a software defined industrial system are described herein. For example, an orchestrated system of distributed nodes may run an application, including modules implemented on the distributed nodes. In response to a node failing, a module may be redeployed to a replacement node. In an example, self-descriptive control applications and software modules are provided in the context of orchestratable distributed systems. The self-descriptive control applications may be executed by an orchestrator or like control device and use a module manifest to generate a control system application. For example, an edge control node of the industrial system may include a system on a chip including a microcontroller (MCU) to convert IO data. The system on a chip includes a central processing unit (CPU) in an initial inactive state, which may be changed to an activated state in response an activation signal.

Abstract: Various systems and methods may be used to implement a software defined industrial system. For example, an orchestrated system of distributed nodes may run an application, including modules implemented on the distributed nodes. The orchestrated system may include an orchestration server, a first node executing a first module, and a second node executing a second module. In response to the second node failing, the second module may be redeployed to a replacement node (e.g., the first node or a different node). The replacement mode may be determined by the first node or another node, for example based on connections to or from the second node.

Abstract: Various systems and methods for implementing a software defined industrial system are described herein. For example, an orchestrated system of distributed nodes may run an application, including modules implemented on the distributed nodes. In response to a node failing, a module may be redeployed to a replacement node. In an example, self-descriptive control applications and software modules are provided in the context of orchestratable distributed systems. The self-descriptive control applications may be executed by an orchestrator or like control device and use a module manifest to generate a control system application. For example, an edge control node of the industrial system may include a system on a chip including a microcontroller (MCU) to convert IO data. The system on a chip includes a central processing unit (CPU) in an initial inactive state, which may be changed to an activated state in response an activation signal.

Abstract: Various systems and methods may be used to implement a software defined industrial system. For example, an orchestrated system of distributed nodes may run an application, including modules implemented on the distributed nodes. The orchestrated system may include an orchestration server, a first node executing a first module, and a second node executing a second module. In response to the second node failing, the second module may be redeployed to a replacement node (e.g., the first node or a different node). The replacement mode may be determined by the first node or another node, for example based on connections to or from the second node.

Abstract: Various systems and methods may be used to implement a software defined industrial system. For example, an orchestrated system of distributed nodes may run an application, including modules implemented on the distributed nodes. The orchestrated system may include an orchestration server, a first node executing a first module, and a second node executing a second module. In response to the second node failing, the second module may be redeployed to a replacement node (e.g., the first node or a different node). The replacement mode may be determined by the first node or another node, for example based on connections to or from the second node.

Abstract: Various systems and methods may be used to implement a software defined industrial system. For example, an orchestrated system of distributed nodes may run an application, including modules implemented on the distributed nodes. The orchestrated system may include an orchestration server, a first node executing a first module, and a second node executing a second module. In response to the second node failing, the second module may be redeployed to a replacement node (e.g., the first node or a different node). The replacement mode may be determined by the first node or another node, for example based on connections to or from the second node.

Abstract: Mobile devices, systems, and methods for end-user transparent utilization of computational, storage, and network capacity of mobile device are described herein. A communication interface may be responsive to a request for a resource from a network of mobile devices. A database may store mobile device information and, in response to the request, identify at least one mobile device having the resource. A virtual machine dispatcher may generate a command to a virtual machine dispatch agent of the at least one mobile device to create a virtual machine to perform the resource.

Abstract: Various systems and methods may be used to implement a software defined industrial system. For example, an orchestrated system of distributed nodes may run an application, including modules implemented on the distributed nodes. The orchestrated system may include an orchestration server, a first node executing a first module, and a second node executing a second module. In response to the second node failing, the second module may be redeployed to a replacement node (e.g., the first node or a different node). The replacement mode may be determined by the first node or another node, for example based on connections to or from the second node.

Abstract: Various systems and methods for generating and outputting a context sensitive user interface component are disclosed herein. In an example, a contextual menu or interaction dialog are displayed in web browsers, video players, and other programs used to display dynamic content, including internet derived text, images, and video. Further examples described herein outline how user profiles and preferences may be used to customize available choices and outputs of the contextual menu, thereby enabling the available choices and outputs to be dynamically customized to combinations of the particular user profile or preference, semantic meaning or categorization of the content, type of the content, or properties of the content itself.

Abstract: Mobile devices, systems, and methods for end-user transparent utilization of computational, storage, and network capacity of mobile device are described herein. A communication interface may be responsive to a request for a resource from a network of mobile devices. A database may store mobile device information and, in response to the request, identify at least one mobile device having the resource. A virtual machine dispatcher may generate a command to a virtual machine dispatch agent of the at least one mobile device to create a virtual machine to perform the resource.

Abstract: Mobile devices, systems, and methods for end-user transparent utilization of computational, storage, and network capacity of mobile device are described herein. A communication interface may be responsive to a request for a resource from a network of mobile devices. A database may store mobile device information and, in response to the request, identify at least one mobile device having the resource. A virtual machine dispatcher may generate a command to a virtual machine dispatch agent of the at least one mobile device to create a virtual machine to perform the resource.

Abstract: Mobile devices, systems, and methods for end-user transparent utilization of computational, storage, and network capacity of mobile device are described herein. A communication interface may be responsive to a request for a resource from a network of mobile devices. A database may store mobile device information and, in response to the request, identify at least one mobile device having the resource. A virtual machine dispatcher may generate a command to a virtual machine dispatch agent of the at least one mobile device to create a virtual machine to perform the resource.

Abstract: In some embodiments, the invention involves calculating entropy-based stability values to be used in a framework to build a new class of network control (policy) and (state) management services. The framework may be used to build a number of self-management services to support decentralized (mesh) networks. Other embodiments are described and claimed.

Abstract: Methods and apparatus to a cross-layer approach to virtualized overlay on ad hoc networks are described. In one embodiment, a virtual address may be used to search for a (key,value) pair in a virtual overlay. Other embodiments are also described.

Abstract: A method and system are disclosed. In one embodiment the method includes calculating a trust level of a first entity. The first entity has a plurality of components. Each component in the first entity has at least the trust level of the first entity.

Abstract: Mobile devices, systems, and methods enable individual mobile devices and network services to utilize idle mobile computer resources through virtualization and wireless mesh networking in a manner that is transparent to users. Other embodiments include apparatus and systems of devices for dispatching virtual node modules to perform service functions.