Abstract: A method comprising: retrieving update rules stored in a distributed ledger from the distributed ledger; checking whether or not a received initial transaction fulfills all the retrieved update rules; creating a block comprising the initial transaction if the initial transaction fulfills all the retrieved update rules; broadcasting the block into a network of the distributed ledger, wherein, the initial transaction requests to modify a content of a slice and/or an intent of the slice; if the initial transaction requests to modify the content of the slice, at least one of the update rules constrains the content of the slice or the modifying of the content of the slice, and if the initial transaction requests to modify the intent of the slice, at least one of the update rules constrains the intent of the slice or the modifying of the intent of the slice.

Abstract: An illustrative data platform is disclosed that may receive, from an agent deployed in a cloud compute environment monitored by the data platform, data the agent has collected within the cloud compute environment in accordance with an agent operations ruleset. The data platform may determine, based on the data the agent has collected, an operational adjustment to the agent operations ruleset. Accordingly, the data platform may then direct the agent to implement the operational adjustment to the agent operations ruleset for use as the agent continues collecting data within the cloud compute environment in accordance with the agent operations ruleset. Corresponding methods, systems, and products are also disclosed.

Abstract: Aspects of the subject disclosure may include, for example, obtaining data that identifies network traffic associated with a threat actor, responsive to the obtaining the data, performing feature extraction on the data, resulting in extracted features, classifying the network traffic based on the extracted features, detecting, in accordance with the classifying the network traffic, an action change in the network traffic, resulting in a detected action change, predicting a future traffic profile for the threat actor based on the detected action change, and responsive to the predicting the future traffic profile, generating an alert regarding the future traffic profile, thereby enabling mitigation of a security risk associated with the threat actor. Other embodiments are disclosed.

Abstract: Monitoring tracking infrastructure as code (IaC) asset lifecycles, including: generating a configuration snapshot describing a configuration of an infrastructure as code (IaC) asset; comparing the configuration snapshot to data describing a previous configuration of the IaC asset; determining, responsive to a difference between the configuration snapshot and the data describing the previous configuration of the IaC asset, based on the configuration snapshot, whether the configuration of the IaC asset conforms to a policy; and performing, responsive to the configuration of the IaC asset failing to conform to the policy, one or more remedial actions.

Abstract: Guided interactions with a natural language interface, including: gathering data describing one or more user interactions with a system configured for monitoring a cloud deployment; generating, based on the data, a prompt comprising one or more natural language inputs for a workflow, wherein each of the one or more natural language inputs corresponds to a query for information related to the cloud deployment; and providing a selected natural language input to a natural language interface of the anomaly detection framework.

Abstract: Procedures, methods, architectures, apparatuses, systems, devices, and computer program products that may be implemented in wireless communications. In one representative method, the WTRU may send one or more age of information (AoI) preferences for a traffic flow to a network entity, and the WTRU may receive one or more AoI rules for the traffic flow from the network entity. The WTRU may receive a packet associated with the traffic flow, and the received packet may include an indication of AoI of the packet. The WTRU may send one or more additional AoI preferences to the network entity, such as upon determining that any of the AoI preferences and/or AoI rules are not satisfied based on the indication of AoI. The indication of AoI may correspond to a processing state of the packet along a path in a network and/or to a time since the packet was created.

Abstract: Optimizing data warehouse utilization by a data ingestion pipeline, including: gathering information describing usage of a plurality of data warehouses; receiving, from a data ingestion pipeline, a request for a data warehouse to receive data from the data ingestion pipeline; selecting, based on the information, the data warehouse from the plurality of data warehouses; and providing, to the data ingestion pipeline, an indication of the data warehouse.

Abstract: A method and apparatus for ensuring a deterministic latency of a network slice, a storage medium, and a product, and belongs to the field of communication technologies. In this solution, topology information of different network slices can be associated with different gate scheduling periods, and the first device can determine a forwarding path of a service flow based on an SLA requirement and an association relationship between topology information and a gate scheduling period, so as to ensure a deterministic latency of the network slice. In addition, because different network slices can be associated with different gate scheduling periods, when the network slices are used to carry various service flows, different service flows may be scheduled and forwarded based on different gate scheduling periods, to meet latency jitter requirements of different services, and ensure deterministic latencies of various services.

Abstract: A system and method for managing distributed shaping in a computer network. The system including: a plurality of logic nodes, each logic node including: a packet processor configured to determine metrics associated with traffic flows in the computer network; a control processor configured to determine a quality value based on the determined metrics and communicate with each of the plurality of logic nodes; and a shaper object configured to shape the network traffic. The method including: initializing each logic node of a plurality of logic nodes; determining metrics associated with traffic flows in the computer network; determining a quality value based on the determined metrics; communicating the metrics with each of the plurality of logic nodes; and shaping the network traffic flows based on the quality value.

Abstract: The invention provides, in one aspect, an improved system for data access comprising a file server that is coupled to a client device or application executing thereon via one or more networks. The server comprises static storage that is organized in one or more directories, each containing, zero, one or more files. The server also comprises a file system operable, in cooperation with a file system on the client device, to provide authorized applications executing on the client device access to those directories and/or files. Fast file server (FFS) software or other functionality executing on or in connection with the server responds to requests received from the client by transferring requested data to the client device over multiple network pathways. That data can comprise, for example, directory trees, files (or portions thereof), and so forth.

Abstract: A method, system and computer program product for backup assignment of a mobile electronics device is disclosed. In response to one or more device assignment requests received by a controller apparatus when a server is operating in an off-line mode, one or more device assignment records are created within the controller apparatus, and which indicate assignment of the at least one mobile electronics device to a respective one or more users. When the server is operating in an off-line mode such that communication between the controller apparatus and the server is off-line, the one or more device assignment records, in relation to the at least one mobile electronics device, are stored in the controller apparatus. In response to the server re-entering the on-line mode, the server is updated with the one or more device assignment records.

Abstract: A site network service (SNS) design is deployed in a computing system. A network function (NF) design is received and transferred to a data store. A network service (NS) design is generated that includes a reference to a NF design from the data store and a NS configuration including information for partially configuring the referenced NF design. The NS design is transferred to the data store. A SNS design is deployed that includes a reference to the NS design from the data store and a SNS configuration.

Abstract: Disclosed is a system and application for digital media that allows users to share a media playlist and synchronize playing for all connected users. The user browses their device for media files to create a playlist, and then hosts the playlist over an existing local area network or creates a Wi-Fi hotspot. The playlist may be encrypted to provide a form of digital rights management. Other users are then prompted to download the playlist and send the host a calculated playback delay. Once all users have completed downloading the playlist the hosting user is prompted to press play, pushing timing information that takes into account the largest delay to all connected users via the active local area network, resulting in all devices playing the media in synchronicity for the duration of the playlist. Additional users may opt in during playback and use the timing information to synchronize their devices' playback.

Abstract: The described technology is generally directed towards configuring a client device with client configuration data based on client context data. The configuration data can include endpoints of various services to which the client can connect that are appropriate for the client device based on the client context data, along with dimension information (route key values) for connecting to each such service. For example, a roaming client device can be given an endpoint and dimension information to connect to a content service in the roaming region, with a different endpoint and dimension information for communicating user information to a home region to which the user is affiliated. This facilitates single hop/reduced latency for content requests, and compliance with home regulations via a single hop to the home service.

Abstract: An example method of dynamically distributing messaging resources in a software as a service (SaaS) platform includes: receiving, by a processing device, from a first tenant associated with a first tenant set of a plurality of tenant sets, a request to forward a first message to a recipient within a specified destination; identifying, among a plurality of queues associated with the plurality of tenant sets, a subset of queues associated with the first tenant; queuing the first message into a first queue of the subset of queues associated with the first tenant; assigning, to each queue of the plurality of queues, a score reflecting a respective tenant portion of a messaging resource quota associated with the specified destination; retrieving a second message from a queue associated with a highest score; and forwarding the second message to a messaging gateway associated with the specified destination.

Abstract: Reducing amounts of data ingested into a data warehouse, including: determining a duration associated with a subject described by event data provided to a data ingestion pipeline; determining, based on the duration, an interval for providing next event data; and providing, based on the interval, the next event data.

Abstract: A method for provisioning a self-learning closed loop service is provided. The method includes receiving a representation of the self-learning closed loop service, the representation including a specification of one or more automation subservices, identifying, for each automation subservice of the representation, one or more utility measurement subservices that are compatible with the respective automation subservice and deploying an instance of the self-learning closed loop service based on the identification, wherein the instance includes a pairing of each automation subservice of the self-learning closed loop service with one or more compatible utility measurement subservices.

Abstract: Time series anomaly detection, including: gathering data associated with a particular event type and a particular user; generating, based on the data, a time series analysis; detecting an anomaly based on the time series analysis; and generating information describing the anomaly.

Abstract: There is provided a method of automatically managing access to authorized service computing environments, comprising: monitoring data sources generated by user identities of the target computing environment accessing service computing environments, analyzing the data sources to identify communication between user identities of the target computing environment and the service computing environments, according to the analyzing, mapping connections between the user identities of the target computing environment and the service computing environment, including connections between first user identities that are authorized to access authorized service computing environments, second user identities that are non-authorized to access the authorized service computing environments, and third user identities that are non-authorized to access non-authorized service computing environments, and automatically blocking access of the second user identities to the authorized service computing environments that they are non-auth

Abstract: A method includes receiving identifiers of a set of computing devices to participate in a cross-device data visualization session; sending a data set to each computing device and instructions to display a first portion of the data set; receiving an interaction with one of the identified computing devices requesting another computing device to display a second portion of the data set; sending an instruction to display the second portion of the data set to the at least some of the other identified computing devices, where the instruction is sent without sending at least some of the second portion after receiving the interaction and the instruction causes the at least some of the other identified computing devices to execute the instructions on the at least some of the second portion of the data set that is present at the at least some of the other identified computing devices.