Abstract: In a method and system for sharing a vehicle location through mobile text message parsing, the method of sharing a vehicle location through mobile text message parsing includes extracting a text message and a mobile phone number of a user from a mobile device of the user, receiving shared data for real-time location sharing with a vehicle of another user from a server based on a parsing result for the text message and the mobile phone number of the user, and providing a real-time location sharing service with respect to the vehicle of the other user according to input by the user for a sharing selection message for selecting whether to share a real-time location with the vehicle of the other user displayed in response to the shared data.

Abstract: There is provided techniques for tracing operations in a network. A method is performed by a wireless device operatively connected to the network. The method comprises performing an operation with respect to a piece of data. The piece of data is associated with an application run in the network. The method comprises tracing the operation in a trace instance. The trace instance comprises an identifier of a span of the trace instance, an initial timestamp from when the span was originally created, and a reference to another span of the trace instance. The method comprises transmitting a CoAP message to an application server of the application. The CoAP message has a header part and a payload part. The payload part comprises the trace instance.

Abstract: Computing resources are managed in a computing environment comprising a computing service provider and an edge computing network. The edge computing network comprises computing and storage devices configured to extend computing resources of the computing service provider to remote users of the computing service provider. The edge computing network collects capacity and usage data for computing and network resources at the edge computing network. A predictive function is applied to the data to determine a predicted demand on the computing and network resources at a future time interval. Based on the predicted demand, a distribution of workloads is determined.

Abstract: Systems and methods for identifying correlations for adaptive noise reduction. The system obtains a set of network performance metrics measured during a period of time from a sensor module communicatively coupled to a set of sensors deployed at remote devices. The system may input the set of network performance metrics into a trained model to obtain an optimal set of network performance metrics to be measured during a next period of time, wherein the model is configured to determine a next set of metrics to be measured based on a previous set of metrics. The system identifies a second set of sensors for usage and may generate one or more commands configured to effectuate activation of one or more sensors of the second set of sensors, and deactivation of one or more sensors of the first set of sensors.

Abstract: A device configuration method, an electronic apparatus, and a computer-readable storage medium are disclosed. The method is applied to a server side, and includes: acquiring identification information of a first device, and sending a content acquisition request to the first device; acquiring a content acquisition response sent by the first device, and the content acquisition response includes a first content acquired by the first device; determining whether the first content satisfies a privacy protection rule; and in response to the first content dissatisfying the privacy protection rule, performing device configuration on the first device.

Abstract: Aspects of the subject disclosure may include, for example, obtaining provisioning information associated with a service provider where the provisioning information includes a mapping of identifications of a group of end user devices to cloud-based services of the service provider; determining, according to the provisioning information, that an end user device of the group of end user devices is permitted to access a service endpoint associated with a particular cloud-based service of the cloud-based services of the service provider; and facilitating the particular cloud-based service for the end user device utilizing a private network connection, the service endpoint and a private endpoint associated with the service provider. Other embodiments are disclosed.

Abstract: Methods and systems for managing data processing systems are disclosed. The data processing systems may be managed by restoring the system states in the data processing systems. The system states may be restored in the data processing systems by remediating configurations and/or processes after incidents are resolved. The configurations and/or processes may be changed by remediation of incidents in data processing systems. Restoration of a system state to a goal state may require implementation of action items in the data processing system. The action items that yield restoration of the system state may be stored in a repository for future use.

Abstract: An information processing device for performing load balancing between a plurality of edge servers. Acquire a load on one or more microservices operating at each of the plurality of edge servers, and determine to operate at the first edge server to forward a predetermined percentage of requests of one or more requests issued to the first microservice loaded by a predetermined amount or more to a second microservice operating at the one or more second edge servers.

Abstract: An apparatus includes a communication interface and a processor operably coupled to the communication interface. The processor is configured to receive an expected service level agreement (SLA) for a media service from a service provider, where the media service includes a plurality of media flows. The processor is also configured to provision a network slice that includes media functions based on the expected SLA. The processor is further configured to configure the media functions in the network slice with flow prioritization information for each media flow among the plurality of media flows. Additionally, the processor is configured to determine performance of each of the media flows. The processor is also configured to perform adjustment of the service parameters based on the determination that the performance of one or more of the media flows is below the expected SLA.

Abstract: The present disclosure provides a system of distributed edge computing for cooperative augmented reality with mobile sensing capability. The system includes a plurality of nodes configured to generate a plurality of data streams; and a plurality of distributed edge servers configured to process one or more tasks using the plurality of data streams. An Apache Storm distributed stream processing platform is installed and properly configured on each distributed edge server; the plurality of distributed edge servers includes one or more service modules installed on each distributed edge server and configured to process the one or more tasks; and the plurality of distributed edge servers includes a master distributed edge server and a plurality of slave distributed edge servers; and a scheduler is installed on the master distributed edge server and configured to distribute the one or more tasks to the plurality of distributed edge servers.

Abstract: In some examples, as part of implementing a service on a communication infrastructure that includes multiple different types of network domains, a system creates a distributed cloud of network functions, where the network functions are executable in virtualized environments on the physical resources to perform respective tasks. The system establishes a connection between the network functions to provide the service as part of service orchestration in the communication infrastructure, the service including the respective tasks of the network functions. Communication of data between the network functions includes translating, at an edge of the distributed cloud, domain-specific data packets according to protocols used in the multiple different types of network domains to domain-agnostic data packets comprising labels to support label-based forwarding of data packets between the network functions in the virtualized environments.

Abstract: A system can create a first graph that represents first values of current configurations of a computer hardware as first nodes and first dependencies of the current configurations as first links. The system can create first embedding vectors based on the first graph. The system can input the first embedding vectors to a graph isomorphism network to produce modified first embedding vectors. The system can identify specified configurations for the computer hardware. The system can create a second graph that represents second values of the specified configurations. The system can create second embedding vectors based on the second graph. The system can input the second embedding vectors to the graph isomorphism network to produce modified second embedding vectors. The system can perform a graph isomorphism evaluation on the modified first embedding vectors and the modified second embedding vectors to determine an amount of difference.

Abstract: In a communication apparatus, a buffer offset calculator calculates a buffer offset for a transmission-ready state k-th communication unit in accordance with a total number of at least one of data packets that is (i) transmittable by at least one m-th communication unit in the N communication units except for the k-th communication unit and (ii) completely received by the recipient device within a data transmission period of the communication network corresponding to the k-th communication unit (m is each of variables 1 to N except for k). A data packet allocator selects, in a queue of the data packets stored in the transmission buffer, one of the data packets, a beginning of the selected data packet being located offset by the buffer offset relative to a beginning of the queue of the data packets. The data packet allocator allocates the selected data packet to the k-th communication unit.

Abstract: An emergency management system (EMS) generates a likelihood of a 911 service outage for a public safety access point (PSAP). The EMS receives supplemental call data for mobile devices that initiated 911 calls to a public safety answering point (PSAP). The EMS generates a 911 call volume metric for the 911 calls. The EMS receives a number of queries from the PSAP for a portion of the supplemental call data that corresponds to the 911 call volume metric. The EMS tracks the number of queries received from the PSAP. The EMS determines the likelihood of a 911 service outage for the PSAP based on the 911 call volume metric and the number of queries received. The EMS notifies the PSAP of the likelihood of the 911 service outage (e.g., with an outage score).

Abstract: This disclosure provides systems, methods, and devices for enhancing data communication and computation efficiency in Systems on a Chip (SoC). In one aspect, a system is provided that uses a network on a chip (NOC) to route communications between chip components using a plurality of network interfaces linked by shared data connections. The system may be configured to route communications via multiple virtual channels along the shared connections, with credit restrictions for the channels. Additionally, the system may support mechanisms for maintaining both private and shared credit balances for these virtual channels. Additional aspects are also discussed.

Abstract: The invention relates to a method for deploying a software as a service (SaaS) application, in particular an authentication as a service (IDaaS) application. The method includes deploying a load distribution module, provided for receiving the connections to the application, and distributing the connections within a group of application nodes, each executing an instance of the application and being provided to perform at least one connection to the application. The method also includes deploying at least one master application node, and at least one iteration of of adjusting, by a master application node, the number of application nodes in the group based on an index representative of the total load of the application nodes of the group. The invention also relates to a computer program and a system implementing such a method.

Abstract: A resource release method includes when a first network node determines that a first condition is met, performing at least one of the following: releasing a first resource; or sending first data to a second network node; where the first data is used for at least one of the following: requesting a second network node to release the first resource; indicating the second network node to release the first resource; requesting the second network node to stop the data transmission of the first service; or indicating the second network node to stop the data transmission of the first service; where the first resource includes a resource used for the first service between the first network node and the second network node.

Abstract: A system and method are provided including a plurality of nodes including at least one neighbor node set formed from at least a first node and a second node, wherein each node of the plurality of nodes converts at least one input to at least one output; a processing unit executes processor-executable program code to cause the system to: execute the first node, wherein execution of the first node generates an execution status for the first node and output data for the first node; receive, by the second node, at least the execution status for the first node and output data for the first node; compare, by the second node, the received execution data to an anomaly policy; detect, by the second node, an anomaly at the first node based on the comparison; and transmit the detected anomaly to at least an anomaly learning module. Numerous other aspects are provided.

Abstract: Techniques for a system to automatically recommend supported actions to a notification associated with a resource in a cloud computing environment are discussed herein. A system can includes a recommendation engine and a registry to provide centralized management of actions for responding to a notification instead of each service managing actions separately. A machine learned model can generate recommendations for resolving the notification based on a template stored in the registry that associates actions with instructions for presenting the recommendation in a respective interface modality (e.g., Chatbot, mobile application, console, etc.). In some examples, the system can implement a machine learned model, a graph model, and/or a heuristic model, to determine potential actions as recommendation data.

Abstract: A method for managing traffic in a communication network and computer program product, the method comprising: receiving plurality of traffic units to be transmitted by a switch through a port having an associated queue; extracting features from the traffic units; providing the features to a first engine, to obtain a class for the traffic units; using a second engine associated with a traffic model for the class, obtaining an indication of a predicted traffic volume for the class for a future time and for the physical location of a switch that transmits the plurality of traffic units; allocating a queue of a size corresponding to the indication; assigning the plurality of traffic units to the buffer; determining whether performance of the communication network has improved or deteriorated; and subject to deterioration of the performance: generating a penalty; and retraining the first engine or the second engine in accordance with the penalty.