Abstract: Virtual redundancy for active-standby cloud applications is disclosed herein. A virtual machine (“VM”) placement scheduling system is disclosed herein. The system can compute, for each standby VM of a plurality of available standby VMs, a minimum required placement overlap delta to meet an entitlement assurance rate (“EAR”) threshold. The system can compute a minimum number of available VM slots for activating each standby VM to meet the EAR threshold. For each standby VM of a given application, the system can filter out any server of a plurality of servers that does not meet criteria. If a given server meets the criteria, the system can add the given server to a candidate list; sort, in descending order, the candidate list by the minimum required placement overlap delta and the number of available virtual machine slots; and select, from the candidate list of servers, a candidate server from atop the candidate list.

Abstract: The concepts and technologies disclosed herein provide high availability and high utilization cloud data center architecture for supporting telecommunications services. According to one aspect of the concepts and technologies disclosed herein, a 4-site model of application placement within the cloud computing environment provides 37.5% resource utilization with site availability of five 9s (99.999%) and virtual machine availability of five 9s. According to another aspect of the concepts and technologies disclosed herein, a 3-site model of application placement within the cloud computing environment provides 66% resource utilization with site availability of five 9s and virtual machine availability of five 9s. According to another aspect of the concepts and technologies disclosed herein, a 4-site model of application placement within the cloud computing environment provides 75% resource utilization with site availability of five 9s and virtual machine availability of five 9s.

Abstract: Concepts and technologies are disclosed herein for creating cross-service chains of virtual network functions in a wide area network. A controller can receive a chain request from a requestor. The chain request can specify functionality that is to be included in a service chain. The functionality can include a first function and a second function. The controller can compute a route associated with the service chain. The route can specify a first site that hosts a first service that provides the first function and a second site that hosts a second service that provides the second function. A first virtual network function can be located at the first site and a second virtual network function can be located at the second site. The controller can configure edge devices and forwarding devices to various entities at the two sites to enable the cross-service virtual network function chain.

Abstract: According to one aspect disclosed herein, a system can include a set of node peers, including a first subset implemented in software and a second subset implemented in hardware. The first subset can include a software node. The second subset can include a hardware node that includes a hardware cache, a processor, and a memory that stores computer-executable instructions. The hardware node can receive, from a network, a packet, and can determine if data that identifies a path associated with the packet is stored in the hardware cache. If not, the hardware node can query the software node to identify the path associated with the packet, and can receive, in response from the software node, the data that identifies the path, which then can be stored in the hardware cache. The hardware node can forward, along the path, the packet to a network element.

Abstract: Concepts and technologies are disclosed herein for a topology aware load balancing engine. A processor that executes a load balancing engine can receive a request for a load balancing plan for an application. The processor can obtain network topology data that describes elements of a data center and links associated with the elements. The processor can obtain an application flow graph associated with the application and create a load balancing plan to use in balancing traffic associated with the application. The processor can create the load balancing plan to use in balancing traffic associated with the application and distribute commands to the data center to balance traffic over the links.

Abstract: A processing system including at least one processor may provide a first instance of a plurality of instances of a database distributed at a plurality of different nodes, and a first instance of a plurality of instances of a middleware module distributed at the plurality of different nodes, the first instance of the middleware module associated with the first instance of the database. The first instance of the middleware module may be configured to receive a request from a first client to perform a transaction relating to a range of keys, confirm an ownership of the first client of the range of keys, execute operations of the transaction over the first instance of the database, and write a first entry to a first instance of an entry consistent store, the first entry recording a change of at least a value in the database resulting from executing the operations of the transaction.

Abstract: Concepts and technologies are disclosed herein for providing streaming video from mobile computing nodes. A request for streaming video captured by a mobile computing node can be received at a computer including a processor that executes a controller. The request can include a parameter associated with the streaming video. The computer can initiate transmission of an inquiry message to two or more mobile computing nodes and receive inquiry message responses from the mobile computing nodes that include the mobile computing node. The inquiry message responses can indicate that the mobile computing nodes can satisfy the parameter. The computer can create a list of the mobile computing nodes that can satisfy the parameter and provide the list to the requestor. The computer can receive a selection of the mobile computing node, and initiate delivery of a video stream to the requestor.

Abstract: Example mobile devices disclosed herein include a camera, memory including computer-executable instructions, and a processor to execute the instructions to at least associate a location of the mobile device with picture data obtained with the camera. The processor is also to assign a first data tag to the picture data when the location of the mobile device corresponds to a first area, the first data tag to identify a first security level for the picture data, or assign a second data tag to the picture data when the location of the mobile device does not correspond to the first area, the second data tag to identify a second security level for the picture data. The processor is further to determine whether to permit an application to access the picture data based on whether the first data tag or the second data tag is assigned to the picture data.

Abstract: Cloud-based orchestration may be leveraged to create flexible storage solutions that use continuous adaptation to tailor themselves to their target application workloads that made provide efficiencies in performance, cost, or scalability over conventional designs.

Abstract: A processing system of an edge exchange point including at least one processor may receive, from a cloud service provider a request to allocate a first tag to communications between the cloud service provider and a first telecommunication network, transmit an acceptance of the request to allocate the first tag to the communications between the cloud service provider and the first telecommunication network, obtaining a first packet containing the first tag from the cloud service provider, and transmit the first packet to the first telecommunication network in accordance with the first tag.

Abstract: A method and computer-readable storage device and apparatus for controlling a roadway resource are disclosed. For example, the method receives from a device associated with a vehicle a request to reach a target destination by a target arrival time and a maximum payment amount to reach the target destination by the target arrival time. The method next determining a route to the target destination and determines a roadway resource along the route that is controllable. The method then sends an instruction to the device associated with the vehicle, where the instruction indicates to navigate the vehicle along the route and controls the roadway resource to enable the vehicle to reach the target destination by the target arrival time.

Abstract: The concepts and technologies disclosed herein provide high availability and high utilization cloud data center architecture for supporting telecommunications services. According to one aspect of the concepts and technologies disclosed herein, a 4-site model of application placement within the cloud computing environment provides 37.5% resource utilization with site availability of five 9s (99.999%) and virtual machine availability of five 9s. According to another aspect of the concepts and technologies disclosed herein, a 3-site model of application placement within the cloud computing environment provides 66% resource utilization with site availability of five 9s and virtual machine availability of five 9s. According to another aspect of the concepts and technologies disclosed herein, a 4-site model of application placement within the cloud computing environment provides 75% resource utilization with site availability of five 9s and virtual machine availability of five 9s.

Abstract: The concepts and technologies disclosed herein are directed to a policy-driven homing service system that can receive, from a master service orchestrator, a demand specifying a service component to be used to provide, at least in part, a service. The system can receive, from a policy system, a homing constraint. The system can determine, for the demand, an initial set of all potential candidates. The system can apply the homing constraint to each potential candidate in the initial set of all potential candidates. The system can determine a resultant set of potential solutions that satisfy the homing constraint. The system can determine a best solution from the resultant set of potential solutions. The system can send the best solution to the master service orchestrator, which instantiates the demand based upon the best solution.

Abstract: Concepts and technologies are disclosed herein for providing streaming video from mobile computing nodes. A request for streaming video captured by a mobile computing node can be received at a computer including a processor that executes a controller. The request can include a parameter associated with the streaming video. The computer can initiate transmission of an inquiry message to two or more mobile computing nodes and receive inquiry message responses from the mobile computing nodes that include the mobile computing node. The inquiry message responses can indicate that the mobile computing nodes can satisfy the parameter. The computer can create a list of the mobile computing nodes that can satisfy the parameter and provide the list to the requestor. The computer can receive a selection of the mobile computing node, and initiate delivery of a video stream to the requestor.

Abstract: Example mobile devices disclosed herein include a camera, memory including computer-executable instructions, and a processor to execute the instructions to at least associate a location of the mobile device with picture data obtained with the camera. The processor is also to assign a first data tag to the picture data when the location of the mobile device corresponds to a first area, the first data tag to identify a first security level for the picture data, or assign a second data tag to the picture data when the location of the mobile device does not correspond to the first area, the second data tag to identify a second security level for the picture data. The processor is further to determine whether to permit an application to access the picture data based on whether the first data tag or the second data tag is assigned to the picture data.

Abstract: A method and computer-readable storage device and apparatus for controlling a roadway resource are disclosed. For example, the method receives from a device associated with a vehicle a request to reach a target destination by a target arrival time and a maximum payment amount to reach the target destination by the target arrival time. The method next determining a route to the target destination and determines a roadway resource along the route that is controllable. The method then sends an instruction to the device associated with the vehicle, where the instruction indicates to navigate the vehicle along the route and controls the roadway resource to enable the vehicle to reach the target destination by the target arrival time.

Abstract: Devices, computer-readable media, and methods for submitting a modified voice input to a service based upon a user intent determined from a voice input in accordance with a voice interface of the service are disclosed. A processing system including at least one processor may obtain a voice input of a user, determine an intent from the voice input, identify a first service, from among a plurality of services, in accordance with the intent, and formulate a first modified voice input from the voice input in accordance with a voice interface of the first service, where each of the services is associated with one of a plurality of different voice interfaces. The processing system may further submit the first modified voice input to the first service, obtain a first voice response from the first service, and present a voice output to the user in accordance with the first voice response.

Abstract: The concepts and technologies disclosed herein provide high availability and high utilization cloud data center architecture for supporting real-time services. According to one aspect of the concepts and technologies disclosed herein, a 4-site model of application placement within the cloud computing environment provides 37.5% resource utilization with site availability of five 9s (99.999%) and virtual machine availability of five 9s. According to another aspect of the concepts and technologies disclosed herein, a 3-site model of application placement within the cloud computing environment provides 66% resource utilization with site availability of five 9s and virtual machine availability of five 9s. According to another aspect of the concepts and technologies disclosed herein, a 4-site model of application placement within the cloud computing environment provides 75% resource utilization with site availability of five 9s and virtual machine availability of five 9s.

Abstract: Concepts and technologies are disclosed herein for an application deployment engine. A processor that executes an application deployment engine can receive an application request. The processor can obtain network topology data that indicates availability of resources of a data center, an application template associated with the application, and a running time during which an application placement plan is to be identified out of a large number of placement scenarios within the running time. The application template can describe an application flow path associated with the application. The processor can identify the application placement plan, where the application placement plan can include an optimal placement of the application at the data center, before a given running time expires by pruning the large search space. The processor can generate a command to effect deployment of the application in accordance with the application placement plan.

Abstract: Concepts and technologies are disclosed herein for a distributed stateful load balancer. A first load balancer can store a first portion of a distributed hash table including data over a first range of hash keys. The first load balancer can be in communication with a second load balancer that stores a second portion of the distributed hash table including data over a second range of hash keys. The first load balancer can receive a packet, where a hash value calculated for the packet does not fall in the first range of hash keys. The first load balancer can identify, based on the hash value, that the second load balancer stores data that identifies a path associated with the packet and query the second load balancer to identify the path. The first load balancer can receive the data and forward, along the path, the packet to a network element.