Abstract: According to one embodiment, a method comprises automatically uploading device information from a first network device in a first operating state to a second network device in response to an event, such as an initial power up. The second network device is part of the cloud, and thus, providing cloud-based services. Subsequent to the uploading of the device information, the first network device receives information controlling the operation of the first network device based on the device information.

Abstract: Systems and methods for mapping service function chains to physical network resources include receiving a service function chain request specifying multiple service functions including a service access point, generating a service graph including service links between consecutive service functions, receiving resource information describing capabilities of physical network resources and a topology of the physical network, generating a resource graph including infra links between pairs of connected physical network resources, creating, dependent on the service graph and the resource graph, multiple solutions for mapping the service functions to the physical network resources, and outputting one or more mapping solutions. Each of generating the service graph, generating the resource graph, and creating the mapping solutions may be performed by one or instances of respective microservices that operate in parallel.

Abstract: A system and method for failover in a distributed system may comprise a computing device that receives client-provided information that groups computing nodes into ordered subsets. The subsets, or nodes in the subsets, may be associated with client-provided instructions for evaluating the health of a node. A node may be selected for failover based on executing the instructions and evaluating associated performance metrics. When a node is selected for failover, a replacement node may be selected based on the ordering of the subsets and the health of candidate nodes as determined based on executing the client-provided instructions.

Abstract: Network performance data, such as routing trip time between autonomous systems and data centers, is gathered and aggregated to determine optimal mappings of autonomous systems and data centers. Autonomous system based DNS steering may be automated by repeating a life cycle of determining the optimal mappings. Data delivery strategies are applied to a portion of a network to deliver content using the optimal mappings.

Abstract: A vehicle may include a driving unit configured to move the vehicle, a communicator configured to communicate with an external device and a controller configured to authenticate a temporary driver and allow temporary driving by the temporary driver in a response to a driver's input received through the communicator, wherein during the temporary driving, the controller limits output of the driving unit, and controls the driving unit to limit maximum speed of the vehicle, and stores driving record of the vehicle.

Abstract: Disclosed is a dynamically adaptable stream segment prefetcher for prefetching stream segments from different media streams with different segment name formats and with different positioning of the segment name iterator within the differing segment name formats. In response to receiving a client issued request for a particular segment of a particular media stream, the prefetcher identifies the segment name format and iterator location using a regular expression matching to the client issued request. The prefetcher then generates prefetch requests based on the segment name format and incrementing a current value for the iterator in the segment name of the client issued request.

Abstract: An approach for allocating information technology (IT) resources in a networked computing environment (e.g., a cloud computing environment) based on physical location mapping is provided. Specifically, an IT allocation system assigns resources to a specific cloud pool based on the physical location of the resources. By mapping a given physical location (e.g., a defined region of a grid defining a datacenter) to a specific pool, and by enabling the tracking of a resource to a location within the datacenter, the approach can automatically assign a resource to a cloud pool based upon its physical location. Thus, the IT allocation system provides additional pool elasticity while easing the management burden.

Abstract: An operation method of a communication node in a vehicle network may comprise performing a transition of an operation mode of the communication node from a sleep mode to a normal mode when a predetermined event is detected; transmitting a wake-up signal when the operation mode transitions from the sleep mode to the normal mode; generating a network management (NM) message including information indicating a wake-up reason corresponding to the wake-up signal; and transmitting the NM message.

Abstract: Technologies for network interface controllers (NICs) include a computing device having a NIC coupled to a root FPGA via an I/O link. The root FPGA is further coupled to multiple worker FPGAs by a serial link with each worker FPGA. The NIC may receive a remote direct memory access (RDMA) message from a remote host and send the RDMA message to the root FPGA via the I/O link. The root FPGA determines a target FPGA based on a memory address of the RDMA message. Each FPGA is associated with a part of a unified address space. If the target FPGA is a worker FPGA, the root FPGA sends the RDMA message to the worker FPGA via the corresponding serial link, and the worker FPGA processes the RDMA message. If the root FPGA is the target, the root FPGA may process the RDMA message. Other embodiments are described and claimed.

Abstract: Representational state transfer (REST) based geo-aware content transfer includes a REST server configured for receiving an application programming interface (API) request from a client device. The REST server obtains a upload universal resource locator (URL) targeting a caching server that is geographically closest to the client device, constructs an upload link containing the upload URL and a completion callback, and sends the upload link to the client device. The client device uses the upload URL to upload content to the caching server. The caching server interprets the completion callback to obtain a completion URL and, upon completion of content uploading, makes a REST API call using the completion URL. Responsive to the REST API call, the REST server executes an inbound operation to complete the uploading to a content management system and returns the content URL to the caching server which sends the content URL to the client device.

Abstract: The present disclosure relates to methods and systems for performing response based cache redirection to a cache proxy. A device intermediary to a plurality of clients and a plurality of servers and in communication with a plurality of cache proxies, receives a request for content from a client. The request is for content from a server of the plurality of servers. The device forwards the request to the server. The device identifies a cache redirection policy that specifies an amount of bytes of a response to buffer to calculate a signature of the content of the response. The device computes the signature of the content of the response based on the amount of bytes of the response received from the server and buffered by the device. The device selects a cache proxy based on the computed signature and forwards the request of the client to the selected cache proxy.

Abstract: Efficient, reusable, extensible light weight framework orchestrates discrete mainframe service calls as a single composite service call. The single composite call requires a single mainframe socket and the mainframe disaggregates the composite service call upon receipt to process the individual service calls therein, thereby allowing the mainframe to handle more services calls simultaneously. A similar framework orchestrates distributed service calls from a mainframe client.

Abstract: Cloud robotics infrastructures generally support heterogeneous services that are offered by heterogeneous resources whose reliability or availability also varies widely with varying lifetime. For such systems, defining a static redundancy configuration for all services is difficult and often biased. Also, it is not feasible to define a redundancy configuration separately for each unique service. Therefore, in the present disclosure a trade-off between the two is ensured by providing At-most M-Modular Flexible Redundancy Model wherein an exact degree of redundancy is defined and is given to each service in a heterogeneous service environment and monitoring each task and subtask status to ensure that each subtask gets accomplished thereby enabling the tuning of the tradeoff between redundancy and cost and determining efficiency of the system by estimating number of resources utilized to complete specific subtask and comparing the resources utilization with the exact degree of redundancy defined.

Abstract: A method for operating, by an MEC operator, a multi-access edge computing (MEC) system in which applications are provided by MEC tenants for deployment on MEC hosts of the MEC system and in which various levels of privileges are provided by the MEC operator to the MEC tenants. The method includes assigning, by an MEC broker, privileges to the MEC tenants; initiating, by the MEC broker via interactions with one or more of an MEC Orchestrator, an MEC platform manager, and a user app LCM proxy, operations. The operations can include one or more of application package on-boarding, application instance installation on selected MEC hosts, application provisioning, through configuration of appropriate parameters, and application life-cycle management operations including one or more of bootstrapping, termination, migration, scaling. The method further includes pre-validating, using the privileges provided to the MEC tenants, operation requests issued by the MEC tenants.

Abstract: A plurality of hardware accelerators are interconnected and include a special processing unit and accelerator memory. At least one host computer is coupled to each of the plurality of hardware accelerators and includes a general processing unit and host memory. The plurality of hardware accelerators exchange data in a ring communication pattern in computing a linear layer of a neural network.

Abstract: Example methods and systems are provided for network-address-to-identifier translation in a virtualized computing environment. The method may comprise: based on traffic flow information associated with a first network address and a second network address, determining that the first network address is associated with a first identifier that identifies the first virtualized computing instance. The method may also comprise: obtaining network topology information specifying how the first virtualized computing instance is connected to the second virtualized computing instance via one or more logical forwarding elements; and based on the network topology information, determining that the second network address is associated with a second identifier that identifies the second virtualized computing instance.

Abstract: Methods, apparatus, systems and articles of manufacture are disclosed to monitor usage of virtual computing environments. An example method involves obtaining usage records from a probe manager. The example usage records associate users to occurrences of the users consuming a service. The example method also involves determining an association of the user identifiers with respective ones of the business units. The example method also involves creating aggregate usage records for the respective ones of the business units by assigning the usage records to the respective ones of the business units. Additionally, the example method involves transmitting the aggregate usage records to an infrastructure manager, the infrastructure manager to calculate total monetary costs of the service for the respective ones of the business units based on aggregate usage records.

Abstract: A computer-implemented system and method for facilitating communication via an audio centric network are provided. A plurality of drivers are monitored, and a location of at least one of the drivers is determined. A social bubble comprising a network of other drivers proximate to the driver is determined based on the identified location. A command is received from the driver, and the command is transmitted to one or more of the drivers in the social bubble.

Abstract: Aspects of the disclosure relate to control of consumption of content in an appliance. The content can include linear programming and non-linear assets. Such control can permit (i) changing a channel in the appliance (e.g., a CPE without upstream functionality) and thus selecting a linear-programming asset, a non-linear asset, and so forth, and (ii) controlling consumption of such assets. In one aspect, a device with upstream network connectivity can control the consumption of media in the appliance. The device can leverage data management and control functionality of a service provider network to acquire information related to assets available for consumption and to transmit asset requests to the service provider network, which can transmit content and signaling to the appliance in accordance at least in part with the asset request, thus controlling media consumption in the appliance.

Abstract: An approach is provided for delivering messages to a user based on their activity status. An activity detection platform receives a request to deliver a message from a sending device to a receiving device. The activity detection platform also detects an activity status of a receiving user associated with the receiving device based on the request. The activity detection platform also presents at least one delivery option for the message at the sending device to a sending user based on the detection. The message is then processed based on the at least one delivery option selected by the sending user prior to a presentation of the message to the receiving user.