Abstract: Embodiments are disclosed for a wireless wearable computer with fitness machine connectivity for improved activity monitoring using caloric expenditure models.

Abstract: Aspects of the present invention provide a software defined radio (SDR) system and/or an approach for enabling heterogeneous device communications using a SDR device in an internet of things (IoT) environment. In an embodiment, the SDR device (e.g., a network adapter thereof) obtains a set of communications sent by an IoT device. Based on an analysis of the set of communications by an SDR bot running on the SDR device, a protocol of the set of communications is determined. The SDR bot interprets a communication of the set of communications, and, based on the interpreted communication, a notification is forwarded by the SDR device (e.g., by the network adapter). This notification can include an instruction to another IoT device to perform a task, a report based on communications from multiple IoT devices, or the like.

Abstract: A system and method for efficient call processing is provided. The system of a server implemented with a computer includes a memory configured to store a computer-readable instruction and at least one processor configured to execute the computer-readable instruction. The at least one processor includes a push request controller configured to control the server to request a push server to provide push notification to a terminating electronic device corresponding to an outgoing request of an originating electronic device and a call management controller configured to control the server to establish a call session between the originating electronic device and the terminating electronic device based on an invite request sent from the terminating electronic device based on the push notification.

Abstract: A mobile device connected to a wireless sensor network may receive a script update in a series of transmissions from a network management device, the transmissions being broken up over an extended period of time. The transmissions may be as small as one or several packets that make up a portion of the script. Each transmission is sent and received in coordination with a predetermined active cycle of the mobile device, i.e., during the normal mode of operation for the mobile device. A device may transition from a low-power (sleep) state to an active (awake) state to perform its routine functions. During this active time, a network management device sends a message to the mobile device indicating the availability of a script update. The mobile device, in response, transmits to the network management device a requested amount of update data it wishes to receive during this period of activity.

Abstract: System utilization related to memory usage can be monitored by storing host memory usage information in the corresponding host physical memory. However, retrieving this information can be a high overhead operation because it involves engaging with the operating system of each host. Moreover, storing memory usage information in the host physical memories can pose a security risk if they also store privileged data. Network interfaces according to the present disclosure provide unobtrusive and secure support for monitoring of network and other system resources such as regions of memory within host physical memories. Implementations according to the present disclosure include a plurality of memory region counters stored on a network interface. Each memory region counter corresponds to one of the memory regions located in a physical memory of a host coupled to the network interface. Each of the counters includes a system utilization metric associated with its corresponding memory region.

Abstract: The disclosed embodiments relate to techniques for managing a local cache on a computing device that stores content items for an online content-management system. These techniques generally operate by gathering information that is available on the computing device (such as information about user actions, information about which applications are executing, and information about the location of the computing device) and using this information to identify relevant content items that are likely to be accessed in the near future. This enables the system to perform cache-management operations at the local cache to facilitate rapidly accessing the relevant content items through the local cache.

Abstract: Methods and systems for defining a solution within an enterprise security management configuration server is disclosed. One method includes, based on network concordance data, grouping a plurality of nodes within an enterprise network into a plurality of profiles and identifying one or more channels among the plurality of profiles within a project of an enterprise security management configuration tool. The method also includes displaying the plurality of profiles in a configuration user interface, and automatically identifying one or more solutions among the plurality of profiles. The method further includes collapsing each of the one or more solutions into a single icon within the configuration user interface, each single icon representing a solution.

Abstract: Examples can include an optimizer that dynamically determines where to place virtual network functions for a slice in a distributed Telco cloud network. The optimizer can determine a slice path that complies with a service level agreement and balances network load. The virtual network functions of the slice can be provisioned at clouds identified by the optimal slice path. In one example, performance metrics are normalized, and tenant-selected weights can be applied. This can allow the optimizer to prioritize particular SLA attributes in choosing an optimal slice path.

Abstract: Merging two or more user groups for collaboration includes constructing a social graph of each user of a plurality of users within the two or more user groups based upon a user profile and a workflow associated with each user. A weighted adjacency matrix is calculated based on at least one user interaction between two or more users indicated by the social graph. A model inferring leading edge contributions and least significant edge contributions among the users is generated based upon the social graph and the weighted adjacency matrix. One or more prospective groups expected to be involved in a future collaboration are identified based upon the identified leading edge contributions and least significant edge contributions.

Abstract: Real-time video streaming is essential in many types of systems. A system for streaming real-time video provides a low-latency solution allows systems and humans to respond to real-time events as they occur. Client application platforms, such as HTML5, may be used for web development; however, support for real-time video is very limited. The system provides the ability to stream real-time video from an originating video source to an HTML5 web application with low latency. A real-time video server includes a relay service configured to receive a video stream from a video source, a fragmented video generator configured to convert the video stream into a file-based video compression format including a plurality of video fragments, and a streaming service configured to transmit the fragmented video file to a video client for real-time playback.

Abstract: In accordance with one or more embodiments, aspects of the disclosure may provide efficient, effective, and convenient ways of managing the transmission of content items in a network. In particular, a device may be preconfigured with buffer priority assignments and performance metrics for various media types or data types. The device may detect a media type or data type for a packet corresponding to a content item, assign the packet to a buffer queue based on the media type or data type, and transmit the packet. The device may also determine whether performance metrics for the media type or data type are being met. If the device fails to meet performance metrics, the device may negotiate with other devices on the network to compensate for the failure to meet performance metrics and/or adjust buffer priorities as necessary.

Abstract: Techniques for are described which enable users of a service provider network to manage local storage devices connected to computer systems of the service provider network as a service. A service provider network provides an application programming interface (API) that enables users to manage local storage devices in association with compute instances created by users using a hardware virtualization service of the service provider network. The API can be used to attach local storage devices to compute instances (that is, make local storage devices available for use as a block storage device), detach local storage devices from compute instances (that is, make local storage devices unavailable for use by a compute instance and possibly available for use by other compute instances on the same computer system), among other possible operations.

Abstract: Methods, apparatuses, and computing systems are provided for bot messaging. In an implementation, a method may include one or more of receiving, by a group messaging service coupled to the internet and a group including one or more user nodes, a message including a message address and a first group identifier, determining that the group includes a bot, the bot including a software application for performing one or more tasks over the internet. The method also includes determining whether the bot is a user bot responsive to one user node in the group or a group bot responsive to each of the one or more user nodes. In response to determining the bot is a group bot, the method also includes identifying that the message address corresponds to the group bot and sending, by the group messaging service, the message to the group bot.

Abstract: Systems and methods for reducing data movement in a computer system. The systems and methods use information or knowledge about the structure of an algorithm, operations to be executed at a receiving processing unit, variables or subsets or groups of variables in a distributed algorithm, or other forms of contextual information, for reducing the number of bits transmitted from at least one transmitting processing unit to at least one receiving processing unit or storage device.

Abstract: Disclosed is an information processing device capable of remote sharing with one or a plurality of other information processing devices. The information processing device acts as a reference information processing device, and includes a memory; and one or more processors coupled to the memory and configured to display one or more of the other information processing devices as a candidate for remote connection, the one or more of the other information processing devices being used by same participants as participants determined in the reference information processing device; prompt a user of the reference information processing device to select any of the one or more of the other information processing devices displayed as a candidate for remote connection; and remotely connect the reference information processing device to the selected one or more of the other information processing devices.

Abstract: A method for execution by one or more processing modules of one or more computing devices of a dispersed storage network (DSN), the method begins by determining, in advance of a DSN data access request, an optimal routing configuration for the DSN data access request to a collection of one or more DS processing units. The method continues by assigning a final destination identifier (FDI) to the collection of one or more DS processing units. The method continues by associating a request router with the collection of one or more DS processing units and distributing the optimal routing configuration to each of the collection of one or more DS processing units and to the associated request router.

Abstract: A method for transporting data from a source location to a destination location includes receiving the data from at least one sender at the source location, the sender specifying at least one recipient at the destination location; splitting the data into a plurality of portions; and finding one or more couriers who will travel from the source location to the destination location. The method also includes: while at least a given courier is at the source location, sending at least one of the plurality of portions to a mobile device of at least the given courier; once the given courier travels to the destination location, receiving the at least one of the portions from the mobile device of the given courier; and once the plurality of portions of the data have been received at the destination location, sending the data set to the at least one recipient.

Abstract: A method of analyzing protocol message sequence communicated over a network, involves receiving one or more protocol messages associated with a real-time communication session between a first network node and a second network node in the network. A set of packet attributes corresponding to the one or more protocol messages associated with the real-time communication session may be extracted. Each one of the set of packet attributes may be compared with a plurality of baseline attributes. At least one error condition in at least one protocol message received from the first network node may be determined based on the comparison. A corrective measure on the first network node may be performed based on the at least one error condition in the at least one protocol message received from the first network node.

Abstract: Systems and methods are disclosed, and one includes a computer-implemented method for predicting quality of experience (QoE) for application downloading a webpage from a server stack, including determining a stat data corresponding to a traffic through a network node, generating a feature vector using the stat data, estimating a download performance metric for the application in a downloading of the webpage, using feature vector data, and estimating a QoE value, using the estimated performance metric.

Abstract: A computer-implemented system and method of predictive decision-making in an ad hoc network. The computer-implemented method includes receiving a set of rules into the ad hoc network and identifying a data set for each rule. The computer-implemented method also includes selecting a first and second node from the ad hoc network to process a first and second rule as a function of the identified data set according to an optimizing algorithm. The computer-implemented method also selects a third node to receive the processed results from the first and second nodes. An indication is provided of the processed results by the third node.