Abstract: A method includes obtaining device data by a network, wherein the network collects data from a plurality of connected devices, selecting a key performance indicator associated with the plurality of connected devices, clustering the data in accordance with the key performance indicator to form a plurality of clustered data sets, and determining a pattern within at least one of the plurality of clustered data sets to recommend network resource allocations. The pattern may be further used to analyze a second set of device data to determine an updated pattern and wherein the updated pattern is determined based on the pattern and the second set of device data.

Abstract: A system and method uses a data correlator system to associate large volumes of related data. The data correlator system receives data packets with user content from a mobile network. The data correlator system creates a hash value for data associated with the user content, such as user account information or the location of the user device. The data correlator system uses the hash value to combine the user content with the associated data. The data correlator system provides the combined data to an optimization engine for optimizing the performance of the mobile network.

Abstract: The system allows real time collection and processing of massive data from many network elements. It has an elastic architecture that scales horizontally to support different network sizes. The system in a uniform data format for downstream consumption. It employs a pub/sub data distribution mechanism that supports multiple concurrent downstream subscribers efficiently in real-time.

Abstract: Concepts and technologies are disclosed for creating and using cell clusters. Cellular network data associated with a cellular network can be obtained. The cellular network data can include configuration data associated with a cell of the cellular network and a performance indicator associated with the cellular network. A number of cell clusters to be generated can be determined, and the cell clusters can be generated. The cell clusters can include a cell cluster that can represent multiple cells including the cell. A model that represents the cell cluster can be trained. An input cluster that represents multiple inputs can be generated. The inputs can be associated with the multiple cells and the input cluster can include a value. The value can be provided as input to the model to obtain a predicted output associated with the cell cluster.

Abstract: A framework to handle monitoring and automatic fault manifestation in cloud networks. Multiple techniques correlate the logs of different cloud services or generate independent capsules for each component, VM, storage, or transaction. In a first exemplary technique, an authentication token is provided by an authentication service for logs during a period of an event. In a second exemplary technique, a unique instance ID for multiple distinct processes may be created in a data model of notification logs or service logs.

Abstract: Aspects of the subject disclosure may include, for example, a method in which a processing system receives data at an edge node of a network that also includes regional nodes and central nodes. The processing system also determines a latency criterion associated with an application for processing the data; the application corresponds to an application programming interface. The method also includes processing the data in accordance with the application, monitoring a latency associated with the processing, and determining whether the latency meets the latency criterion. The processing system dynamically assigns data processing resources so that the latency meets the latency criterion; the resources include computation, network and storage resources of the edge node, a central node, and a regional node in communication with the edge node and the central node. Other embodiments are disclosed.

Abstract: The system allows real time collection and processing of massive data from many network elements. It has an elastic architecture that scales horizontally to support different network sizes. The system in a uniform data format for downstream consumption. It employs a pub/sub data distribution mechanism that supports multiple concurrent downstream subscribers efficiently in real-time.

Abstract: Aspects of the subject disclosure may include, for example, a method in which an end user device sends a first request to a digital video recorder (DVR) to receive a media content item, and receives a metadata file including authentication information and a network address of a media content server where the media content item is located. The end user device sends a second request to the media content server to receive the media content item; the second request is sent to the network address and includes the authentication information and an identification of the requested media content item. The end user device receives the media content item from the media content server, responsive to the authentication information and the identification of the media content item sent in the second request. Other embodiments are disclosed.

Abstract: A framework to handle monitoring and automatic fault manifestation in cloud networks. Multiple techniques correlate the logs of different cloud services or generate independent capsules for each component, VM, storage, or transaction. In a first exemplary technique, an authentication token is provided by an authentication service for logs during a period of an event. In a second exemplary technique, a unique instance ID for multiple distinct processes may be created in a data model of notification logs or service logs.

Abstract: Aspects of the subject disclosure may include, for example, a method comprising: sending by an end user device, to a digital video recorder, a first request to receive a requested media content item; receiving by the end user device, responsive to the sending of the first request, a metadata file, wherein the metadata file comprises authentication information and a network address of a media content server where the requested media content item is located; sending to the media content server by the end user device, responsive to the receiving of the metadata file, a second request to receive the requested media content item, wherein the second request is sent to the network address, wherein the second request comprises the authentication information contained in the metadata file, and wherein the second request comprises an identification of the requested media content item; and receiving by the end user device, responsive to the authentication information and the identification of the requested media content

Abstract: The system allows real time collection and processing of massive data from many network elements. It has an elastic architecture that scales horizontally to support different network sizes. The system in a uniform data format for downstream consumption. It employs a pub/sub data distribution mechanism that supports multiple concurrent downstream subscribers efficiently in real-time.

Abstract: Assignment of network addresses and estimations of flow sizes associated with network nodes can be enhanced. Assignment management component (AMC) partitions a set of network addresses into subsets of network addresses associated with respective classes. For respective virtual machines (VMs), an estimator component estimates a flow size associated with a VM based on parameters associated with the VM. AMC classifies VMs based on threshold flow-size values and respective estimated flow sizes of VMs, and assigns VMs to respective sub-groups of VMs associated with respective subsets of network addresses based on respective classifications of VMs. AMC assigns an available network address of a subset of network addresses associated with a class to a VM of a sub-group associated with that class. Estimated flow sizes and performance metrics also are utilized to make determinations regarding VM placement, traffic management, load balancing, resource allocation, and orchestration in cloud networks.

Abstract: Concepts and technologies for providing virtualized network monitoring as a service are provided. In an embodiment, a method can include providing, by a processor of a computer system within a service host network, a network monitoring portal to a user equipment associated with a private network. The method also can include receiving, from the user equipment via the network monitoring portal, access credentials that enable access to the private network. The method can include receiving a selection of a plurality of network monitoring service modules for monitoring the private network, and instantiating a plurality of virtual network monitoring probes that each correspond to at least one of the plurality of network monitoring service modules selected. The method can include injecting the plurality of virtual network monitoring probes within the private network, where the virtual network monitoring probes are activated in response to being injected within the private network.

Abstract: Assignment of network addresses and estimations of flow sizes associated with network nodes can be enhanced. Assignment management component (AMC) partitions a set of network addresses into subsets of network addresses associated with respective classes. For respective virtual machines (VMs), an estimator component estimates a flow size associated with a VM based on parameters associated with the VM. AMC classifies VMs based on threshold flow-size values and respective estimated flow sizes of VMs, and assigns VMs to respective sub-groups of VMs associated with respective subsets of network addresses based on respective classifications of VMs. AMC assigns an available network address of a subset of network addresses associated with a class to a VM of a sub-group associated with that class. Estimated flow sizes and performance metrics also are utilized to make determinations regarding VM placement, traffic management, load balancing, resource allocation, and orchestration in cloud networks.

Abstract: A processing system having at least one processor may obtain, from at least one probe packet, path measurements among pairs of host devices of a plurality of host devices in a packet network comprising a plurality of links, and compose a plurality of linear equations, each linear equation relating one of the path measurements between a respective pair of host devices to at least one link performance indicator for a corresponding one or more of the links in the packet network between the respective pair of host devices. The processing system may then determine a plurality of link performance indicators for the plurality of links via a solution to the plurality of linear equations, the plurality of link performance indicators including the at least one link performance indicators of each of the linear equations, and generate a report comprising at least one of the plurality of link performance indicators.

Abstract: A framework to handle monitoring and automatic fault manifestation in cloud networks. Multiple techniques correlate the logs of different cloud services or generate independent capsules for each component, VM, storage, or transaction. In a first exemplary technique, an authentication token is provided by an authentication service for logs during a period of an event. In a second exemplary technique, a unique instance ID for multiple distinct processes may be created in a data model of notification logs or service logs.

Abstract: Concepts and technologies for providing virtualized network monitoring as a service are provided. In an embodiment, a method can include providing, by a processor of a computer system within a service host network, a network monitoring portal to a user equipment associated with a private network. The method also can include receiving, from the user equipment via the network monitoring portal, access credentials that enable access to the private network. The method can include receiving a selection of a plurality of network monitoring service modules for monitoring the private network, and instantiating a plurality of virtual network monitoring probes that each correspond to at least one of the plurality of network monitoring service modules selected. The method can include injecting the plurality of virtual network monitoring probes within the private network, where the virtual network monitoring probes are activated in response to being injected within the private network.

Abstract: Assignment of network addresses and estimations of flow sizes associated with network nodes can be enhanced. Assignment management component (AMC) partitions a set of network addresses into subsets of network addresses associated with respective classes. For respective virtual machines (VMs), an estimator component estimates a flow size associated with a VM based on parameters associated with the VM. AMC classifies VMs based on threshold flow-size values and respective estimated flow sizes of VMs, and assigns VMs to respective sub-groups of VMs associated with respective subsets of network addresses based on respective classifications of VMs. AMC assigns an available network address of a subset of network addresses associated with a class to a VM of a sub-group associated with that class. Estimated flow sizes and performance metrics also are utilized to make determinations regarding VM placement, traffic management, load balancing, resource allocation, and orchestration in cloud networks.

Abstract: A web-based radio survey service is provided to client devices. The client devices individually conduct a radio survey. The radio surveys are sent to a central server for analysis. The central server evaluates the radio surveys and determines a least congested radio channel for common use by all the client devices. The client devices may thus all switch to the least congested radio channel to ensure reliable radio service with an access device.

Abstract: A method includes detecting, at a customer premise equipment management system, a trigger event associated with customer premise equipment data, the customer premise equipment data associated with a customer premise equipment device. The method also includes initiating a connection to the customer premise equipment device via an application program interface in response to the trigger event, where the application program interface is selected based on the customer premise equipment data. The method further includes sending, from the customer premise equipment management system, a customer premise equipment data request to the customer premise equipment device via the application program interface.