Abstract:
Devices, computer-readable media and methods are disclosed for establishing a peer-to-peer network for rerouting network traffic of a telecommunication network during a network disruption. For example, a processing system may detect a network disruption between a first device and a second device of the telecommunication network. The processing system may identify a first peering device having a connection to the first device of the telecommunication network, identify a second peering device having a connection to the second device of the telecommunication network, and establish a peer-to-peer network via at least the first peering device and the second peering device, wherein at least one of the first peering device or the second peering device is a mobile endpoint device configured to operate as a virtual network function. The processing system may then route network traffic between the first device and the second device via the peer-to-peer network.
Abstract:
An intelligent agent monitors operation of at least one software virtualized network (VN). Context information associated with the VN is used to analyze a state of the VN. At least one configuration change is caused to the VN in response to analysis of the state of the VN. A change is identified to the state of the VN caused by the configuration change. A determination is made as to whether or not the change to the state of the VN is an improvement to operation of the VN. A response to the determination is made by causing at least one other configuration change to the VN.
Abstract:
A system may allow for generic end user mobile devices to be operated using a virtualized personal device framework. The virtualized personal device framework may provide for a collective intelligence network platform that allows offloading of heavy computing processes onto virtual instance in a cloud network and enables crowd sourcing services for smart cities that may provide smart emergency services in which end-users collaborate.
Abstract:
A system for designing and executing control loops in a cloud environment includes a control platform implemented in the cloud environment having a data collection, analytics and events module, a policy module and an application controller module. The system includes a business process management application coupled to the control platform having a control loop designer module for designing a control loop template and a workflow engine for distributing the control loop template. The business process management application is coupled to the data collection analytics and events module of the control platform as well as the policy module in the application controller module to control platform. The control loop is activated by the control platform.
Abstract:
A system may allow for generic end user mobile devices to be operated using a virtualized personal device framework. The virtualized personal device framework may provide for a collective intelligence network platform that allows offloading of heavy computing processes onto virtual instance in a cloud network and enables crowd sourcing services for smart cities that may provide smart emergency services in which end-users collaborate.
Abstract:
An intelligent agent monitors operation of at least one software virtualized network (VN). Context information associated with the VN is used to analyze a state of the VN. At least one configuration change is caused to the VN in response to analysis of the state of the VN. A change is identified to the state of the VN caused by the configuration change. A determination is made as to whether or not the change to the state of the VN is an improvement to operation of the VN. A response to the determination is made by causing at least one other configuration change to the VN.
Abstract:
An automated and model driven mini-cloud deployment method comprising: instantiating a model driven orchestrator; parsing a blueprint to develop a virtual network function topology including: identifying infrastructure components required to establish at least one virtual network function; identifying at least one dependency for the at least one virtual network function; providing a sequence for calling life cycle operations; the model driven orchestrator effectuates the life cycle operations comprising: establishing a uCPE as a tenant within a network registry, configuring the uCPE, and activating the uCPE; and instantiating the at least one virtual network function on the uCPE according to the virtual network function topology.
Abstract:
A portable communication device has a touch screen display that receives tactile input and a microphone that receives audio input. The portable communication device initiates a query for media based at least in part on tactile input and audio input. The touch screen display is a multi-touch screen. The portable communication device sends an initiated query and receives a text response indicative of a speech to text conversion of the query. The portable communication device then displays video in response to tactile input and audio input.
Abstract:
A system to generate a response to a text-based natural language message includes a user interface, processing device, and a computer-readable storage medium storing executable instructions to generate the response to the text-based natural language message. The instructions and a method for generating the response include identifying a sentence in the text-based natural language message, identifying an input clause in the sentence, and parsing the input clause, thereby defining a relationship between words in the input clause. The instructions and method also include assigning a semantic tag to the parsed input clause, comparing the input clause to a previously received clause, the previously received clause being correlated with a previously generated response clause, and generating an output response message derived from the previously generated response clause.
Abstract:
Disclosed herein are systems, methods, and computer-readable storage media for improving automatic speech recognition performance. A system practicing the method identifies idle speech recognition resources and establishes a supplemental speech recognizer on the idle resources based on overall speech recognition demand. The supplemental speech recognizer can differ from a main speech recognizer, and, along with the main speech recognizer, can be associated with a particular speaker. The system performs speech recognition on speech received from the particular speaker in parallel with the main speech recognizer and the supplemental speech recognizer and combines results from the main and supplemental speech recognizer. The system recognizes the received speech based on the combined results. The system can use beam adjustment in place of or in combination with a supplemental speech recognizer. A scheduling algorithm can tailor a particular combination of speech recognition resources and release the supplemental speech recognizer based on increased demand.