Abstract: Methods and systems for managing telemetry data for endpoint devices are disclosed. Telemetry data may be generated by sensors distributed among sub-systems of an endpoint device. A management controller of the endpoint device may collect the telemetry data from the sensors without traversing in band components of the sub-systems. Therefore, the telemetry data may be aggregated by the management controller regardless of a power or operational state of hardware resources of the sub-systems. The management controller may provide the aggregated telemetry data to a remote server according to a subscription indicated by the remote server.

Abstract: A system collects data about spot instances across different regions and different cloud service providers and analyzes the collected data to identify any spot instances that have experienced disruptive failures, such as interruptions and failure to provision resources. The system evaluates how stable the spot instances are in each region for each cloud service provider based on the disruptive failures occurred on the spot instances and creates an interactive visual representation of the stability of these spot instances across different regions and cloud service providers.

Abstract: Techniques are provided for data file prioritization for data package transfers based on a size of the data files. One method includes obtaining a data package to be transferred, wherein the data package comprises multiple data files; obtaining respective sizes of the multiple data files in the obtained data package; determining a number of transfer threads for transferring the multiple data files in the obtained data package; assigning the multiple data files to the determined number of transfer threads based on the respective sizes of the multiple data files; and transferring the multiple data files using the assigned transfer threads. The largest data files of the multiple data files may be assigned to the determined number of transfer threads. When a transfer of a given data file on a given transfer thread completes, a largest remaining data file may be assigned to the given transfer thread.

Abstract: A method and apparatus for executing a service of a server computer system for a client system are described. The method may include defining a client system descriptor file that includes a set of signals suitable for input into a large language machine learning model (LLM), and collecting data associated with a first client system that is representative of the set of signals. The data can then be compressed into the set of signals for a first client system descriptor file allocated for the client system. A query is executed using at least the first client system descriptor file as input into the LLM, and in response to an output obtained by the LLM, at least an action is executed by the service of the server computer system.

Abstract: Provided are a method and an apparatus for verifying slicing information. A first message is sent by means of an initiation node, and slicing information to-be-verified is carried in the first message, such that whether the slicing information carried in the first message is consistent with local information of can be verified by the receiving node.

Abstract: According to an update procedure for a network of interconnected nodes, a node keeps track of markers received on the node's incoming channels, transmits a marker on each outgoing channel (if any exist), and updates its node configuration from an old configuration to a new configuration. The node determines how to handle (i.e., process, queue, or drop) each incoming data packet based on (i) whether or not it has updated its node configuration yet and (ii) whether or not it has received a marker on the corresponding incoming channel yet. Packet drops may be reduced by either (i) decomposing one or more cyclic portions of the network into acyclic portions or (ii) processing backwards-compatible packets received at an updated node from an un-updated node when the processing rules for those packets were not changed by the new node configuration at the updated node or (iii) both.

Abstract: The disclosure provides a method and an apparatus for generating comment information based on a large model, an electronic device and a storage medium, relates to a technical field of artificial intelligence, and in particular to the technical fields of deep learning, large model, and natural language processing, and the like. The specific technical solution includes: obtaining description information of a resource to be commented on by understanding, based on the large model, the resource to be commented on; obtaining, based on the description information, comment information of the resource to be commented on, in which the comment information includes at least a comment video of the resource to be commented on; and displaying the comment video in a comment section.

Abstract: The disclosure provides an approach for precision time protocol (PTP) clock synchronization. Embodiments include transmitting, by a time transmitter node to a time receiver node, a synchronization message via one or more intermediate nodes. The one or more intermediate nodes may record path information associated with routing the synchronization message. Embodiments include receiving, by the time transmitter node, a delay request message from the time receiver node via the one or more intermediate nodes. The delay request message may be routed to the time transmitter node based on the path information. Embodiments include transmitting, by the time transmitter node to the time receiver node, a delay response message via the one or more intermediate nodes.

Abstract: An example computing device is configured to determine (i) a future start time of an upcoming live media event and (ii) a uniform resource indicator (URI) at which a live media stream of the live media event will be accessible at the future start time. The computing device displays, via the graphical user interface, a notification identifying the upcoming live media event, and the computing device receives, via the graphical user interface, (i) a first selection of the displayed notification and (ii) a second selection of a plurality of playback devices of a media playback system. Based on the first and second selections, the computing device causes, at the start time of the live media event, at least one of the plurality of playback devices to access the live media stream at the URI for synchronous playback by the plurality of playback devices.

Abstract: A point cloud service providing method according to embodiments may comprise the steps of: performing a call connection for a call between a first user terminal and a second user terminal; and when the call connection is performed, transmitting point cloud data to the first user terminal by the second user terminal by using at least one real time transport protocol (RTP) packet, wherein the point cloud data is G-PCC data compressed on the basis of G-PCC, and a header of the at least one RTP packet comprises identification information for identification of the G-PCC data.

Abstract: The present disclosure provides a method for data transmission and a device, where the method for data transmission includes the following. A terminal device performs transmission of an application data unit (ADU) according to first information from an access network (AN) device or stops the transmission of the ADU according to the first information from the AN device, where the first information includes related configurations and/or indications of the ADU.

Abstract: A system for transforming data packets into pixels is disclosed. The system encodes each data packet into a respective encoded value, where each encoded value represents a unique transformation of a respective data packet. The system identifies data patterns within the data packets, where each data pattern indicates a respective data packet type. The system compresses each group of data packets that share a data pattern into a compressed format. The system determines a set of pixel attributes for each encoded, compressed data packet based on data packet attributes. The set of pixel attributes include a pixel color, a pixel color intensity, and a pixel location. The system generates an image comprising pixels based on the sets of pixel attributes.

Abstract: Aspects of the subject disclosure may include, for example, determining a personalized cloud service requirement based on a user identity and proximity to a first location. A first edge network is configured based on the personalized cloud service requirement and the first location, and the user is provided with access to a personalized cloud service via the configured first edge network according to their proximity to the first location. A second, different location is determined, and a second edge network is configured based on the personalized cloud service requirement and according to the second location. The user is provided with access to the personalized cloud service via the configured second edge network according to their proximity to the second location. In this manner, the edge network may be reconfigured to effectively follow the user, thereby extending remote access to a consistent, personalized cloud service. Other embodiments are disclosed.

Abstract: A method of collecting health check metrics for a network is provided. The method, at a deep packet inspector on a physical host in a datacenter, receives a copy of a network packet from a load balancer. The packet includes a plurality of layers. Each layer corresponds to a communication protocol in a plurality of communication protocols. The method identifies an application referenced in the packet. The method analyzes the information in one or more layers of the packet to determine metrics for the source application. The method sends the determined metrics to the load balancer.

Abstract: Approaches to use of ephemeral workloads to monitor compute environments are described.

Abstract: A regional network address translation gateway (RNG) is established for traffic of a virtual private cloud (VPC) of a customer of a cloud computing environment. In response to detecting that an application resource has been activated in an availability zone (AZ) of a region for which the RNG is established, and that the RNG does not include resources for processing traffic of that AZ, a set of resources is allocated to the RNG for traffic of the AZ. The set of resources of the RNG is used to cause a network address assigned to the RNG to be set as a source address of a packet originating at the application resource before the packet is delivered to a destination.

Abstract: The WTRU may determine that it has a need to request a NAS network service and may generate an application layer NAS message that comprises the request. The WTRU may determine, based on configuration information, one or more network nodes configured to provide NAS network services. The WTRU may determine, based on analytics data and policy data, a first network node in the one or more network nodes to which the application layer NAS message may be sent. The WTRU may determine, based on the policy data, one or more parameters for sending the application layer NAS message to the first network node. The WTRU may determine an endpoint address associated with the first network node. The WTRU may send the application layer NAS message to the first network node using the endpoint address and the one or more parameters.

Abstract: A network device may transmit network address assignment request messages on a plurality of network interfaces communicatively coupled to one or more network address assignment servers. The network device may store any network address assignment responses received from the one or more network address assignment servers within one or more response solicitation time periods and may attempt device provisioning based on the device provisioning priorities of the stored network address assignment responses.

Abstract: Disclosed is a message broker apparatus, method, and program product customizable through the use of externally administered and executed policy functions. The system uses user defined and controlled policy functions to programmatically customize the behaviors of a message broker's processing of messages and further allowing for that customization to take place on a per channel basis. This provides for greater functionality and flexibility to the users of a message system, especially when the users of the message system do not have administrative control over the message broker.

Abstract: Example techniques disclosed herein relate to location-based playlists. In an example implementation, a system receives, from a mobile device, first GPS data indicating that the mobile device is located at a first physical location, wherein an application on the mobile device is registered with a particular user account of the cloud service. The system determines that the first physical location represented in the first GPS data corresponds to a location of a first business associated with one or more first playback devices within the cloud service. The one or more first playback devices are playing back first audio tracks. As each first audio track is at least partially played back, the system adds the respective first audio track to a location-based playlist associated with the particular user account of the cloud service. The computing system causes the mobile device to display an indication of the location-based playlist.