Abstract: An embodiment includes a method of secured, remote device access through dynamic scope adjustment in an incident management system. The method includes receiving an incident report indicative of a technical issue at a first device. Responsive to receipt of the incident report, the method includes determining that the first device is assigned an information technology (IT) support provider and dynamically elevating the first device to a scope of the IT support provider. Following a correction of at least a portion of the technical issue by the IT support provider, the method includes dynamically relegating the first device from the scope to prevent remote access to the first device following the correction.

Abstract: As described herein, a system, method, and computer program are provided for generating insights from home network router data. In use, network usage/connection data is collected from a home network router operating in a residential space. Additionally, the network usage/connection data is processed to generate insights for the network usage/connection data. Further, the insights are output for display to one or more users.

Abstract: A system, in one embodiment, includes a cable modem termination system configured to perform at least the following processing: determining a first quantity related to uncorrectable erroneous codewords and a second quantity related to other codewords except the erroneous codewords in the data packet received by the cable modem termination system from the terminal device via the channel; calculating a first metric relating the first quantity to the second quantity; and in response to the first metric exceeding a first threshold for a first predetermined time, determining the channel as a damaged channel.

Abstract: Systems and methods described herein support a usage calculation process in a cloud infrastructure environment. The usage calculation process can be used to determine whether a requested transaction that targets a compartment within a tree-structure of compartments violates any compartment quota or limit within parent compartments within the tree-structure.

Abstract: Various embodiments of the present invention are directed to an improved group-based communication apparatus that is configured to render one or more workflow interface objects to a group-based communication apparatus in association with an operational sequence set returned by a query. The group-based communication apparatus is configured to detect a workflow trigger event associated with a workflow identifier, retrieve an operational sequence set based upon at least the workflow identifier from a group-based communication workflow repository, initiate the operational sequence set, and cause rendering of one or more workflow interface objects to the group-based communication interface. In some embodiments, the operational sequence sets are associated with a group-defined template.

Abstract: Systems and methods provide for automatically generating a data model that includes a first data feed conforming to industry standards where only alerts for alert triggering violations are provided. The data model further comprises a second data feed that includes both the alerts from the first data feed and a plurality of synthetic alerts for any violations that occur in a data center but do not qualify as alert triggering violations. This second data feed provides a complete picture of the performance of a data center's devices and allows for accurate analytics.

Abstract: A computer-implemented method for generating and deploying a reinforced learning model to train a chatbot. The method includes selecting a plurality of conversations, wherein each conversation includes an agent and a user. The method includes identifying, in each of the conversations, a set of turns and on or more topics. The method further includes associating one or more topics to each turn of the set of turns. The method includes, generating a conversation flow for each conversation, wherein the conversation flow identifies a sequence of the topics. The method includes applying an outcome score to each conversation. The method includes creating a reinforced learning (RL) model, wherein the RL model includes a Markov is based on the conversation flow of each conversation and the outcome score of each conversation. The method includes deploying the RL model, wherein the deploying includes sending the RL model to a chatbot.

Abstract: Various information systems may benefit from the appropriate simplification of data structures and processes. For example, certain health information systems may benefit from dimension reduction of claims data. A method can include creating a tensor to organize data. The method can also include conditionally reducing the size of that tensor in order to more effectively apply machine learning.

Abstract: A method for detecting anomalies in one or more network performance metrics stream for one or more monitored object comprising using a discrete window on the stream to extract a motif from said stream for a first of said network performance metric for a first of said monitored object. Maintaining an abnormal and a normal cluster center of historical time series for said first network performance metric for said first monitored object. Classifying said motif based on a distance between said new time series and said abnormal and said normal cluster center. Determining whether an anomaly for said motif occurred based on said distance and a predetermined decision boundary.

Abstract: Systems and methods including one or more processors and one or more non-transitory storage devices storing computing instructions configured to run on the one or more processors and perform: receiving in-session user activity entered into an initial graphical user interface (GUI) from a user electronic device of a user; selectively aggregating the in-session user activity of the user with historical activity data of the user; predicting one or more intents of the user by inputting the in-session user activity of the user and the historical activity data of the user into a first set of predictive algorithms; post-processing the one or more intents; and coordinating displaying an altered GUI based on the one or more intents, as filtered. Other embodiments are disclosed herein.

Abstract: From a stream management service, indications of transmissions of data records of a first data stream via a persistent network connection associated with a subscription are provided to a stream processing application. In response to detecting that a transfer throttling condition associated with the subscription has been met, a delay is introduced before additional data records are transmitted via the same persistent network connection. After a subscription expiration period has elapsed, an indication of the expiration is provided to the application via the persistent connection.

Abstract: A system, topology, and methods to enable certain session functions to be conducted over many session devices or over a large geographical area via geographically distributed servers. Other embodiments may be described and claimed.

Abstract: A digital processor runs a machine learning algorithm in parallel with a sampling server. The sampling sever may continuously or intermittently draw samples for the machine learning algorithm during execution of the machine learning algorithm, for example on a given problem. The sampling server may run in parallel (e.g., concurrently, overlapping, simultaneously) with a quantum processor to draw samples from the quantum processor.

Abstract: Computer-implemented methods and systems are provided which are suitable for implementation in transaction validation nodes of a blockchain network. Modified blockchain node structures, network architectures, and protocols for handling large numbers of transactions and large transaction blocks are described. The invention is particularly suited, but not limited, to use with the Bitcoin blockchain. A computer-implemented method is provided which includes: (i) receiving transactions from the blockchain network; (ii) validating transactions received from the blockchain network; (iii) maintaining a distributed, decentralized storage of validated transactions with other transaction validation nodes in the blockchain network; and (iv) distributing data corresponding to said validated transactions to the blockchain network for mining.

Abstract: A method for cloud-based, control-plane-event monitoring includes receiving control-plane events from a cloud-based element associated with a first and a second cloud environment. The received control-plane events are ingested from the cloud-based elements associated with the first and second cloud environments to generate a multiple-source data set from the control-plane events from the cloud-based elements associated with the first and second cloud environments. The multiple-source data set is then evaluated based on attributes of the first and second cloud environments in order to generate a common event data set. The common event data set is then processed using a rule set to generate an outcome.

Abstract: A network functions virtualization (NFV) network can be configured to operate according to NFV protocols that decouple software functionality from specific hardware elements. A referent system can be provided that identifies a precise physical location of devices associated with the NFV network relative to other equipment or devices associated with the NFV network.

Abstract: A central office point of delivery within a broadband access network of a telecommunications network includes: access network facing nodes; and a control function and/or a switching fabric and/or service edge nodes. Execution of network attachment tasks and/or further functional or configuration tasks within the central office point of delivery involves using an execution state database as well as stateless execution service functionalities being assigned to different execution stages realized within the central office point of delivery, and a message bus connecting the different execution stages, wherein the execution stages comprise at least an access stage, a processing stage, and a device stage, wherein the execution service functionalities—in order to process or execute the network attachment tasks and/or further functional or configuration tasks—generate a plurality of messages on the message bus and consume a plurality of messages from the message bus.

Abstract: A KUBERNETES installation processes a script and invokes a scheduling agent in response to encountering an instruction to create a pod. The scheduling agent is an agent of an orchestrator and performs tasks such as identifying a selected node, creating multiple interface objects with multiple IP addresses, and creating storage volumes in coordination with the orchestrator. Upon creation, the pod may call a CNI that is an agent of the orchestrator in order to configure the pod to use the multiple interface objects. The pod may call a CSI that is an agent of the orchestrator in order to bind a storage volume to the pod. The scheduling agent may coordinate with the orchestrator to implement affinity and anti-affinity rules for placement of pods and storage volumes. The script may also be transformed by the orchestrator in order to insert instructions implementing affinity and anti-affinity rules.

Abstract: Determining a bit rate at which to deliver a packet stream over a network link. An origin device transmits over the network link unsolicited data packets to a destination device while contemporaneously transmitting over the network link a first packet stream encoded at an initial bit rate to the destination device. The origin device may be, but need not be, a content delivery network (CDN) edge node and the destination device may be, but need not be, a cable modem (CM). The origin device determines whether the network link supports delivering a second packet stream in lieu of the first packet stream encoded at a higher bit rate based, at least in part, on an amount of retransmission requests the origin device receives for packets in the first packet stream from the destination device.

Abstract: A method for sensor event coverage and energy conservation includes receiving device sensor data for a plurality of sensors in a sensor network. The method further includes identifying one or more anomalies in the device sensor data that indicate one or more sensors from the plurality of sensors were acquiring data during an event for a specific point in time and identifying movement patterns for the plurality of sensors based on the one or more anomalies. The method further includes responsive to updating base engagement profiles for the plurality of sensors based on the one or more anomalies and the movement patterns, activating based on the updated base engagement profiled, a first sensor from the plurality of sensors.