Abstract: Provided are a method and apparatus for providing a big data analysis service, and a computer readable storage medium. The method for providing a big data analysis service includes: generating, by network data analytics, big data information according to network operation and maintenance data, and sending the big data information to an application through a network exposure function.

Abstract: A centralized communication system is disclosed that provides a modular, extendible, and scalable communication system that can exchange information between any information systems or networked devices. Adapter interfaces are provided to modify message communications between medical systems in a hospital network, and a graphic interface is provided for modification of communication topology information pertaining to the adapter interfaces in the centralized communication system. The graphical interface provides one or more controls configured to modify at least a portion of the communication topology information, and displays an indication of the modification.

Abstract: Examples described herein relate to systems and methods for containing a faulty stimulus. A computer-implemented method may include listing in a suspect list every received stimulus including the faulty stimulus, and implicitly testing the stimuli by respectively acting upon those stimuli by a software application. Responsive to successfully acting upon each of the stimuli besides the faulty stimulus, each non-faulty stimulus is deleted from the suspect list and, responsive to such deletion, made available to a downstream node. Responsive to acting upon the faulty stimulus, the software application crashes which leaves the faulty stimulus listed in the suspect list. The software application then restarts and deems the faulty stimulus as being faulty based upon the faulty stimulus still being listed in the suspect list after the restart.

Abstract: A service quality control device includes: an APL profile 20 that records the profile of an application; an APL determination unit 10 that acquires network performance including throughput and network information including quality of user's experience from a network device constituting the network 1 and determines the application to be used by a user by comparing the acquired network information with the APL profile 20; a causal model generation unit 30 that acquires network setting information including a bandwidth throttling value from the network device, generates a causal model that associates network setting information with network performance for each application, and generates a causal model that associates network performance with quality of user's experience for each application; and an optimization unit 50 that finds a network setting that maximizes the network performance and the quality of user's experience of a plurality of applications on the basis of the causal model.

Abstract: A system receives, from one or more subsystems, one or more predicted outcomes associated with a device. The system provides provide at least a subset of the predicted outcomes as input to a machine learning model trained to identify a set of resolution actions. The system receives, from the machine learning model, the set of resolution actions for the subset of the predicted outcomes, wherein each resolution action in the set of resolution actions is associated with a probability of resolving at least one of the predicted outcomes in the subset of predicted outcomes. The system identifies a first resolution action from the set of resolution actions, wherein the first resolution action has a highest probability of resolving the at least one of the predicted outcomes in the subset of predicted outcomes. The system provides a first instruction to execute the first resolution action.

Abstract: A computer network device (such as a switch or a router) that implement host tracking is described. During operation, the computer network device may receive a report message that is associated with a host, which indicates that the host wants to join a group in a network that receives an audio-video channel from a source. In response, the computer network device may add information associated with the host to a group data structure associated with one or more hosts in the group. Then, when the computer network device receives a leave message that is associated with the host, the computer network device may remove or deactivates the host from the group data structure. Moreover, when the group data structure is empty or has no active hosts, the computer network device may stop forwarding the audio-video channel from the source to the group without further delay.

Abstract: In one embodiment, a monitoring engine obtains mesh flow data for traffic flows between nodes in a service mesh. The monitoring engine associates the mesh flow data with network traffic between an endpoint device and an edge of the service mesh. The monitoring engine identifies, based on the mesh flow data, a particular container workload associated with the traffic flows. The monitoring engine provides an indication that the particular container workload is associated with the network traffic between the endpoint device and the edge of the service mesh.

Abstract: One or more computers receive a request from a user to change a configuration of a computing environment provided by one or more servers. In response to receiving the request and before performing the requested change in the configuration of the environment, the computers determine an estimated measure of performance that represents a level of performance of the computing environment if changed according to the request and provide data indicating performance measures indicating the estimated measure of performance for the environment corresponding to the change in the configuration of the environment. After providing the data indicating the estimated performance measures, the computers receive data indicating user input confirming the request to change the configuration of the environment, and perform the requested change in the configuration of the computing environment.

Abstract: One or more virtual supervisory control and data acquisition (SCADA) controllers are provided. The virtual SCADA controller(s) may be deployed upon a detection of a failure of a physical SCADA controller. An on-site module may detect failure including a security breach which causes the physical SCADA controller to be disconnected from a network and the virtual SCADA controller(s) to take over control. The virtual SCADA controller(s) may be on-site or off-site.

Abstract: Techniques for synchronizing a network device to selectively operate according to a selectable operation policy. A system utilizing such techniques can a self-configuring network device operation coordination system and a self-configuring network device operation management system. A method utilizing such techniques can include synchronizing a network device to selectively operate according to a first operation policy and a second operation policy in providing network service access.

Abstract: A method for configuring a first network node using a first autonomous system (AS) number in at least one session established with another node according to a dynamic routing protocol is described. The method is implemented by the first node and includes receiving a configuration message comprising at least one piece of information that is representative of a second AS number intended to be used by the first node as a replacement for the first number, configuring the first node with the second AS number, identifying at least one second node having at least one session according to the dynamic routing protocol, active with the first node, in which the first node is associated with the first AS number, and sending a control message to the at least one second node requesting the replacement of the first AS number with the second AS number by the at least one second node, such that, after the replacement, the first node is associated with the second AS number in the at least one active session.

Abstract: There is disclosed in one example a home router, including: a hardware platform including a processor and a memory; a local area network (LAN) interface; a data store including rules for domain name-based services; and instructions encoded within the memory to instruct the processor to: provision a certificate and key pair to provide domain name system (DNS) over hypertext transfer protocol secure (DoH) or DNS over transport layer security (DoT) services; receive on the LAN interface an encrypted DNS request; decrypt the DNS request; query the data store according to the DNS request; receive a rule for the DNS request; and execute the rule.

Abstract: A redundant network IP smart failover method and system based on a redundant computer. Each computer in any computer group comprises an IP address switching module, a network status detecting module, and a peer fault detecting module. The IP address switching module is configured to smoothly switch an IP address in the redundant network. The peer fault detecting module is configured to mutually exclusively and stably acquire operation statuses of peer computers and quickly obtain a correct redundant network IP when necessary. The network status detecting module is configured to determine statuses of local and remote networks to facilitate the IP address switching module to smartly switch the IP address. Configuring a network status detecting module and a peer fault detecting module to aid the IP address switching module to allocate IP addresses more smartly can significantly improve reliability of the redundant network and effectively reduce IP conflicts during the redundant network failover process.

Abstract: An apparatus for provisioning embedded Internet of Things Universal IDs (IoT UIDs) in Brownfield devices. The apparatus includes a display circuit, a requestor circuit, a request provisioning circuit, an IoT UID processing circuit, and an IoT UID provisioning circuit. The display circuit generates a graphical user interface (GUI) configured to receive one or more user input command values corresponding to device property data for one or more Brownfield devices. The requestor circuit generates a registration request that includes the device property data. The request provisioning circuit transmits the registration request to an IoT device registrar server. The IoT UID processing circuit interprets one or more IoT UIDs generated by the IoT device registrar server in response to the registration request. The IoT UID provisioning circuit at least one of: transmits the one or more IoT UIDs, or displays the one or more IoT UIDs on an electronic display.

Abstract: Disclosed are systems and methods for improving interactions with and between computers in content searching, hosting and/or providing systems supported by or configured with devices, servers and/or platforms. The disclosed systems and methods provide a novel framework for providing users with electronic retrieval capabilities that are activated upon the users' determined locations respective to real-world locations associated with a message providing entity. The disclosed technology combines the previously separate systems of mail extraction, geo-fencing and content delivery (e.g., notification) into a single system that efficiently manages a user's inbox in order to provide the user with content the user has expressly indicated is of interest to that user.

Abstract: A method of managing a network performed by a first terminal, the method including: broadcasting a first packet to a network; receiving at least one second packet transmitted by at least one second terminal on the network, in response to the first packet; updating a master terminal in the network and the first packet based on the at least one second packet; and broadcasting the updated first packet to the network.

Abstract: Methods and systems are presented for providing automated online chat assistance in an online chat session. One or more utterances transmitted from a user device of a user via the online chat session are obtained. The one or more utterances are provided to a first prediction model to predict an intent of a user. If it is determined that the first prediction model is unable to predict the intent of the user based on the one or more utterances, the one or more utterances are provided to a second prediction model. After predicting the intent of the user by the second prediction model, the intent is used by a chat robot to provide a dialogue with the user via the online chat session. The one or more utterances and the predicted intent are used to re-train the first prediction model.

Abstract: Systems and methods of the present disclosure are directed to providing remote access capabilities in information technology infrastructure. In particular, systems and methods of the present disclosure can provide remotely access capabilities to facilitate the management, configuration, or maintenance of information technology infrastructure.

Abstract: Techniques for mechanized modify/add/create/delete (MACD) for network configuration are provided. A method can include creating a data object from input data relating to a requested change to a target network configuration, the data object comprising a first parameter indicating a type of the requested change and a second parameter identifying the target network configuration; retrieving, from a repository according to a group of logical rules, executable instructions associated with the type of the requested change, as given by the first parameter of the data object, and the target network configuration, as given by the second parameter of the data object; and performing, further according to the group of logical rules, the requested change to the target network configuration, the performing of the requested change comprising executing the executable instructions retrieved from the repository.

Abstract: A system and method for managing virtual queues. A cloud-based queue service manages a plurality of queues hosted by one or more entities. The queue service is in constant communication with the entities providing queue management, queue analysis, and queue recommendations. The queue service is likewise in direct communication with queued persons. Sending periodic updates while also motivating and incentivizing punctuality and minimizing wait times based on predictive analysis. The predictive analysis uses “Big Data” and other available data resources, for which the predictions assist in the balancing of persons across multiple queues for the same event or multiple persons across a sequence of queues for sequential events.