Abstract: Provided are an instant messaging server providing a plurality of types of chat rooms, and a method of operating the instant messaging server. The method includes storing chat data transmitted and received in a first type chat room in a shared drive corresponding to an administrator with a first type account having an authority to manage the chat room, receiving, from a participant participating in a chat room, a request for previous chat data transmitted and received in the chat room before the participant started participating, and providing the previous chat data stored in the shared drive to the participant based on an access authority of the shared drive set in response to a chat room type.

Abstract: A method and system to provide timebase synchronization for multiple processors in a multi-processor sensor system, where each processor operates according to a respective reference clock, and where the processors' respective reference clocks are off sync from each other. An example method includes simultaneously injecting a synchronization pulse respectively into the multiple processors. Further, the method includes recording for each processor, according to the processor's respective reference clock, a respective synchronization-pulse timestamp of the simultaneously injected synchronization pulse, comparing the respective synchronization-pulse timestamps recorded for the processors, and, based on the comparing, computing for each processor a respective time offset. Additionally, the method includes using the per-processor computed time offsets as a basis to provide a synchronized timebase across the processors.

Abstract: Various approaches for implementing platform resource management are described. In an edge computing system deployment, an edge computing device includes processing circuitry coupled to a memory. The processing circuitry is configured to obtain, from an orchestration provider, an SLO (or SLA) that defines usage of an accessible feature of the edge computing device by a container executing on a virtual machine within the edge computing system. A computation model is retrieved based on at least one key performance indicator (KPI) specified in the SLO. The defined usage of the accessible feature is mapped to a plurality of feature controls using the retrieved computation model. The plurality of feature controls is associated with platform resources of the edge computing device that are pre-allocated to the container. The usage of the platform resources allocated to the container is monitored using the plurality of feature controls.

Abstract: A system is provided for distributing media content in a distributed network. The system includes a count sequence generator that generates a monotonic increasing count sequence, a signal processor that generates a correspondence between media content and the count sequence, such that the monotonic increasing counter sequence is configured for a media content request defined by the increasing count sequence; and a media content database configured to store the media content and corresponding count sequence. Moreover, the signal processor receives a media content request that includes media request parameters that define a portion of the media content based on the corresponding count sequence and at least one of content quality, cost of the requested media content and a delivery time for the requested media content. The signal processor also accesses the requested media content from the media content database and distributes the media content to the media processing node.

Abstract: Apparatus, systems, articles of manufacture, and methods for viewer authentication are disclosed. An example system comprises memory, first instructions, and processor circuitry to execute the first instructions to send one or more second instructions to the device, the second instructions to cause the device to trigger collection of audio metering data from a sensed audio signal based on a programming schedule that is to identify when the program is to be broadcast, the program associated with a first time duration, the audio metering data associated with a second time duration, accept voting data from the user for a ballot presented in the program, and transmit the audio metering data and the voting data, determine a level of exposure of the user to the program based on the first time duration and the second time duration, and adjust the voting data based on the level of exposure.

Abstract: Example implementations relate to a method for reconfiguring a network based on network traffic comparison. The first network supports multicast Domain Name Service (mDNS) query with multicast query-response messages. The method includes determining a client type for each client device and a first average packet count for each client type in a first network. The method includes receiving a second average packet count for each corresponding client type from a second network. The second network supports mDNS query with unicast query-response messages. A difference between the first average packet counts and the second average packet counts for corresponding client types is computed. The first network is reconfigured to respond to mDNS query with unicast query-response messages when the difference computed for at least one client type in the first network and each corresponding client type in the second network is above a predefined threshold.

Abstract: A computer device may include a memory storing instructions and processor configured to execute the instructions to provide a test configuration to a plurality of multi-access edge computing (MEC) devices; collect test results associated with the provided test configuration from the plurality of MEC devices; and obtain capability information associated with particular ones of the plurality of MEC devices. The computer device may be further configured to generate a test report that relates one or more parameters included in the test results and the obtained capability information to particular ones of the plurality of MEC devices; and use the generated test report to select a MEC device from the plurality of MEC devices for a user equipment (UE) device requesting an application session.

Abstract: An online system receives a completed order of items fulfilled by a picker and a transaction log of the completed order from a retailer where the completed order was fulfilled. The online system compares the completed order of items to the transaction log of the completed order to identify one or more unmatched items. The online system generates, at an auditor client device, a user interface that shows the unmatched items and an option to mark each unmatched item as a fraud instance. The online system receives an indication of a fraud instance for one of the unmatched items from an auditor via the user interface. The online system adds a value of the fraud instance to a fraud total of the picker. If the online system determines that the fraud total for the picker exceeds a threshold, the fraud module deactivates the picker's account.

Abstract: A method of media state synchronization is described. An applicative entity sends a request to a rules control entity asking the rules control entity to dispatch a message to the applicative entity describing the state of the media controlled by this applicative entity and currently being used. On expiry of a default deadline or one contained in the request, the rules control entity sends the applicative entity a message in which the rules control entity describes the state of the media.

Abstract: A mobile telecommunications system entity for a mobile telecommunications system has at least one entity, which serves at least one user equipment. The mobile telecommunications system entity has circuitry which is configured to transmit scheduling information for on-demand system information, which can be requested by the at least one user equipment.

Abstract: Methods and systems for providing an enhanced proximity services.

Abstract: A method for communicating with a device may include running, at a device, an operating system, communicating, using a first function of an interconnect, with the device, and communicating, using a second function of the interconnect, with the operating system. The operating system may include communication logic, and the communicating with the operating may include communicating with the communication logic. The communication logic may one or more terminal support drivers, and the communicating with the communication logic may include communicating with the one or more terminal support drivers using a terminal application. The terminal application may run on a host. The second function of the interconnect may be configured to operate with a controller. The communicating with the operating system may include communicating with the operating system based on a privilege information. The host may be a management controller.

Abstract: Embodiments of the present invention provide a computer-implemented method for performing unsupervised feature representation learning for text data. The method generates reference text data having a set of random text sequences, in which each text sequence of set of random text sequences is of a random length and comprises a number of random words, and in which each random length is sampled from a minimum length to a maximum length. The random words of each text sequence in the set are drawn from a distribution. The method generates a feature matrix for raw text data based at least in part on a set of computed distances between the set of random text sequences and the raw text data. The method provides the feature matrix as an input to one or more machine learning models.

Abstract: A method including determining, by a processor, a first communication parameter associated with a first device and a second communication parameter associated with a second device, the first device and second device communicating data over a meshnet connection associated with a mesh network; storing, by the processor in a memory, a first correlation including the first communication parameter and the first device and a second correlation including the second communication parameter and the second device; and updating, by the processor in the memory, the first communication parameter in the first correlation based at least in part on determining a change in the first communication parameter or the second communication parameter in the second correlation based at least in part on determining a change in the second communication parameter. Various other aspects are contemplated.

Abstract: A system for forensic file services is configured to receive data indicative of operations executed on a filesystem element stored on a computing resource associated with a first tenant, to and adjust the data according to an indicated database schema. The system is also configured to store the adjusted data in a record of a partition of a database, where the partition configured to store a history of operations executed on filesystem elements of computing resources associated with the first tenant. The system is further configured to receive a search request to search the database and to execute the search request on a second partition of the database to identify one or more matching records. The system is additionally configured to provide the identified records in response to the search request.

Abstract: A computer-implemented method according to one embodiment includes defining a network resilience construct of an internet-based network. The network resilience construct includes rankings for nodes of the internet-based network. The nodes of the internet-based network are manipulated to determine an Activated Core Affluence (ACA) of the internet-based network, and the ACA defines a likelihood, for each node, of retaining the ranking for the node upon a first group of the nodes losing connection with the internet-based network. The method further includes determining, based on the ACA, a resilient portion of the network that includes an activated core of the nodes. The nodes of the activated core retain connection with one or more other nodes of the internet-based network upon the first group of the nodes losing connection.

Abstract: An information processing method in which an object of interest is classified using node group information defining a node group having modeled a scheme of classification as a tree structure and having grouped nodes possessing a same parent node, comprises: setting depth information for determining whether to perform classification for a particular node group when sequentially traversing node groups from the parent node using the node group information to classify the object of interest; and classifying the object of interest by sequentially traversing node groups from the parent node using the node group information, and providing a classification result, wherein classifying the object of interest varies a depth up to which node groups are sequentially traversed from the parent node to classify the object of interest, in accordance with setting of the depth information.

Abstract: An illustrative data storage management system comprises “awareness logic” that executes on computing devices hosting storage management components such as storage manager, data agent, media agent, and/or other storage management applications. The illustrative awareness logic operates within each of these illustrative components, e.g., as a thread within processes of the storage management component, such as storage management core process, file identifier process, log monitoring process, etc. The awareness logic monitors the targeted process over time and triggers remedial action when criteria are met. Certain vital statistics of each process are collected periodically and analyzed by the illustrative awareness logic, such as CPU usage, memory usage, and handle counts. Criteria for corrective action include rising trends based on local minima data points for one or more vital statistics of the process. Other criteria include exceeding a threshold based on a logarithm function of the collected data points.

Abstract: The technology disclosed relates to configuring IoT devices for policy enforcement. In particular, the technology disclosed relates to configuring a plurality of special-purpose devices on a network segment of a network to steer outbound network traffic to an inline secure forwarder on the network segment instead of a default gateway on the network segment. The inline secure forwarder is configured to route the outbound network traffic to a policy enforcement point for a policy enforcement.

Abstract: A system includes a memory and a processor in communication with the memory. The processor is configured to supply a library with a list of safe callback values, protect the list of safe callback values, invoke a callback, and validate the callback against the list of safe callback values to determine a status of the callback. The status of the callback is one of safe and unsafe. Additionally, the processor is configured to execute the callback responsive to determining the status of the callback is safe. The processor is also configured to abort the callback responsive to determining the status of the callback is unsafe.

Abstract: Systems and methods are provided for evaluation of application interactions and associated metadata to manage application feature experiments, use of synthetic traffic (“canaries”), and the like. Data regarding application interactions and associated application metadata may be evaluated to identify usage patterns and conditions associated with desired actions, and usage patterns and conditions associated with undesired actions. Identifying such usage patterns and conditions can facilitate prediction of future actions given some set of observed application interactions and application metadata. Such predictions can be leveraged to perform experiments that optimize the occurrence of desired actions, and implement canaries to determine the effect of various user journeys and application data on desired actions.

Abstract: Provided are methods, systems and computer program products for cloud based software program execution to enable cross-device implementation of cloud based software application execution by a cloud services server system. The methods include (i) assigning a plurality of hardware devices for execution of the instance of the cloud based software application, (ii) receiving a software application program instruction for execution, (iii) determining attributes of the received software application program instruction, (iv) selecting based on one or more determined attributes of the received software application program instruction, one of the first computing device and the second computing device for execution of the received software application program instruction and (v) routing the received software application program instruction to the selected first or second computing device for execution by the selected first or second computing device.

Abstract: The disclosed embodiments provide a system that facilitates the processing of network data. During operation, the system causes for display, on a computer system, a graphical user interface (GUI) for obtaining configuration information for configuring the generation of time-series event data from network packets captured by one or more remote capture agents. Next, the system causes for display, in the GUI, a first set of user-interface elements for managing one or more ephemeral event streams that contain temporarily generated time-series event data from the network packets, wherein managing the one or more ephemeral event streams comprises modifying an end time for terminating the capture of time-series event data in an ephemeral event stream. The system then updates the configuration information based on input received through the first set of user-interface elements.

Abstract: A Function as a Service (FaaS) distribution system is configured to implement FaaS as a Service (FaaSaaS), enabling autonomous storage systems to be used as FaaS providers during periods where the storage systems are not being used at full capacity to process primary workloads. The FaaS distribution system receives functions from FaaS consumers, and selects a FaaS provider from a set of autonomous storage systems currently able to process FaaS workloads. The FaaS distribution system selects FaaS providers based on an expected execution time of the function and expected execution times of other functions executing on particular FaaS providers, to preferentially select a FaaS provider that is currently running an instance of the function, and to preferentially select a FaaS provider that has other functions that are current executing that are not expected to finish execution at the same time the current function is expected to complete execution.

Abstract: A method, corresponding system, and computer program product for retrieving relevant documents is disclosed. The method includes running, by a processor, an enhanced query comprising a set of parameters based on which a relevancy of a document is determined. The set of parameters includes one or more of keywords, classification codes, time period, assignees, inventors, authors, and section properties. Thereafter, the processor assigns a score to one or more documents returned in response to running the enhanced query, wherein the score is determined by a scoring algorithm. The scoring algorithm evaluates a degree to which the enhanced query parameters are matched in the at least one document for computing the score. Finally, the processor selects relevant documents from the one or more documents based on the assigned score. The relevant documents are selected based on the assigned score fulfilling one or more predetermined criteria.

Abstract: A method comprises executing a user-to-user messaging application in a first computer system used by a user support agent. The user-to-user messaging application receives an input from the user support agent, where the input includes a command for triggering a test of a human-invocable operation of a service that operates on a first cloud-based computing platform. The user-to-user messaging application transmits the command from the first computer system to a web service hosted on a second cloud-based computing platform via a computer network, to invoke an API of the web service. The second cloud-based computing platform is remote from the first computer system. Invocation of the API by the web service initiates the test of the human-invocable operation of the cloud-based service that operates on the first cloud-based computing platform.

Abstract: Described are techniques for generating an adaptive data protocol for an IoT network having a plurality community networks of IoT devices. The techniques include determining a data synchronization policy associated with Internet of Things (IoT) devices contained in a plurality of community networks within an IoT network. The techniques further include determining a data sharing policy associated with the IoT devices in the IoT network. The techniques further include analyzing transactions of the data synchronization policy and the data sharing policy to identify transactional inefficiencies in the data synchronization policy and the data sharing policy. The techniques further include generating an adaptive data protocol to increase transactional efficiency within the IoT network based on the analyzing of the data synchronization policy and the data sharing policy.

Abstract: A server may receive, from a virtual private network (VPN) client of a client device, a message which indicates a request for a policy rule for communications with a network-based application (e.g. provided via a data center or cloud computing services). The server may obtain source attributes of the client device and a user thereof based on source identifiers, and destination attributes of the application based on a destination identifier, and select a policy rule associated with the attributes (e.g. indicative of security, risk, cost, load, and/or business function). The server may send a message which indicates a response and includes the policy rule for application at the VPN client. The policy rule may indicate a policy action for selecting a path, of a plurality of paths, identified by a path identifier, and specify conditions such as a location and/or a date, day, and/or time of the client device.

Abstract: A quality control method of a hardware and software computing infrastructure by a quality control computing system. The quality control method including connecting the hardware and software computing infrastructure to a blockchain database by a management and automation software, mining by the computing resources of a blockchain from the blockchain database using the management and automation software, and monitoring performances of the mining operations and recording values of performances in a database of the quality control computing system. The quality control computing system for the hardware and software computing infrastructure is also disclosed to implement the quality control method.

Abstract: A tester including an interface configured to interface with an electronic device and a logic circuit. The logic circuit includes a pattern generator and at least one finite-state machine and is configured to sequentially acquire read data from the electronic device at sequential testing points of a testing range for evaluating an operating parameter of the electronic device or the tester until a set of consecutive passing points having a first passing point and a last passing point is identified, in response to identifying the first passing point, write data within the logic circuit of the tester identifying the first passing point, in response to identifying the last passing point, write data within the logic circuit of the tester identifying the last passing point, and output only data identifying the first passing point and data identifying the last passing point to a software application.

Abstract: Various embodiments include network computing devices and methods for computing resource management. A processor of a network computing device may determine a latency metric and a transaction volume metric for a network application, determine an autoscaling cost based on the determined latency metric and transaction volume metric, allocate to the network application computing resources based on the determined autoscaling cost, and provide the allocated computing resources to the network application.

Abstract: The disclosure describes techniques for detecting network measurement inaccuracies through the detection of sender delays or packet drops. For example, a sender device of a test packet may determine whether the sender device is experiencing any issues in sending the test packet to a receiver device and notify a controller of the issues such that the controller may generate an indication that one or more Key Performance Indicator (KPI) measurements based on the test packets from the sender device are inaccurate and/or untrustworthy, remove the inaccurate KPI measurements, and/or adjust the inaccurate KPI measurements.

Abstract: Systems, methods, and storage media for synchronizing identity information across identity domains in an identity infrastructure are disclosed. Exemplary implementations may: identify at least one of first identity data and first identity metadata in a first identity domain; identify at least one of second identity data and second identity metadata in a second identity domain; receive a request to change the at least one of the first identity data and the first identity metadata for at least one user; and update the at least one of second identity data and second identity metadata for the at least one user based on the request to change the at least one of the first identity data and the first identity metadata for the at least one user.

Abstract: One or more computing devices, systems, and/or methods for time series trend root cause identification are provided. In particular, an overall trend of multi-dimensional time series data and element trends for measured elements of dimensions within the multi-dimensional time series data is identified. Weighted correlations between the element trends of the measured elements and the overall trend are calculated. The weighted correlations of the measured elements and aggregate weighted correlations of measured element combinations are evaluated to identify a set of measured elements having a threshold correlation to the trend.

Abstract: An integrated security system that includes a security coprocessor coupled to a conventional security system panel and an interactive security system. The integrated security system enables conventional security system features as well as the consumer-oriented interactive features and functions of an interactive security system without sacrificing reliability or the significant burden and cost associated with frequent software updates associated with conventional security systems. The integrated security system also minimizes or eliminates the need for new battery backup circuitry or larger batteries.

Abstract: Systems, methods and computer-readable media are provided for facilitating patient health care through automatic discovery, establishment, and statistical validation of diagnostic-signals in repositories of EMR information, identifying phenotypic diagnostic signals regarding markers or combinations or sequences of patient attributes. Some methods include identifying a first group of patients that have one or more markers and extracting one or more diagnostic statuses that pertain to the whole genome sequencing (WGS) or whole exome sequencing (WES). Statistically significant differences involving frequent itemsets are identified and may be used to evaluate membership of an individual in a class indicative of potential diagnosis via WGS or WES.

Abstract: A method of identifying a cause of an anomalous feature measured from system circuitry on an integrated circuit (IC) chip, the IC chip comprising the system circuitry and monitoring circuitry for monitoring the system circuitry by measuring features of the system circuitry in each window of a series of windows, the method comprising: (i) from a set of windows prior to the anomalous window comprising the anomalous feature, identifying a candidate window set in which to search for the cause of the anomalous feature; (ii) for each of the measured features of the system circuitry: (a) calculating a first feature probability distribution of that measured feature for the candidate window set; (b) calculating a second feature probability distribution of that measured feature for window(s) not in the candidate window set; (c) comparing the first and second feature probability distributions; and (d) identifying that measured feature in the timeframe of the candidate window set as a cause of the anomalous feature if th

Abstract: In one example, a server obtains a plurality of code modules configured to identify issues in one or more network devices of a target network. Based on the plurality of code modules, the server generates a fingerprinting process configured to produce a fingerprint that includes a plurality of key-value pairs. Each key of the plurality of key-value pairs is a unique key that corresponds to select data associated with raw data obtained from the one or more network devices. Each value of the plurality of key-value pairs represents information regarding the select data. Based further on the plurality of code modules, the server generates an analysis model that is uniquely compatible with the fingerprinting process. The analysis model is configured to identify the issues in the one or more network devices based on the key-value pairs.

Abstract: The disclosure provides an approach for alarm state restoration. Embodiments include determining a plurality of alarm definitions applicable to an inventory of a plurality of entities in a computing environment. Embodiments include assigning each given alarm definition of the plurality of alarm definitions to a given alarm category of a plurality of alarm categories. Embodiments include restoring declared states of the plurality of alarms definition on the inventory based on the assigning, wherein the restoring comprises, for each given alarm category of the plurality of alarm categories, performing a single traversal of the inventory to identify all respective entities of the plurality of entities that correspond to one or more alarm definitions assigned to the given alarm category.

Abstract: Performance degradation of an application that is caused by another computing process that shares infrastructure with the application is detected. The application and the other computing device may execute via different virtual machines hosted on the same computing device. To detect the performance degradation that is attributable to the other computing process, certain storage segments of a data storage (e.g., a cache) shared by the virtual machines is written with data. A pattern of read operations are then performed on the segments to determine whether an increase in read access time has occurred. Such a performance degradation is attributable to another computing process. After detecting the degradation, a metric that quantifies the detected degradation attributable to the other computing process is provided to an ML model, which determines the actual performance of the application absent the degradation attributable to the other computing process.

Abstract: The embodiments set forth techniques for managing advertisement attributions. A first technique can be implemented by an “app store” application, and include the steps of (1) receiving, from a first user application, a request to view a second user application, where the request includes a set of digitally-signed parameters that are specific to an advertising campaign (provided by an advertisement network) for the second user application that is presented by the first user application. In turn, and in response to identifying that the second user application satisfies at least one criterion, the app store application provides the set of digitally-signed parameters to an advertisement metrics manager that: (i) verifies the set of digitally-signed parameters, and (ii) indicates, to the advertisement network, that business logic should be carried out in association with the first user application and the second user application. A second technique for managing advertisement attributions is also disclosed.

Abstract: A system and method for operating a gateway device to enable monitoring a client device from an operator device via the gateway device. The gateway device being configured to transmit non-data frames associated with the client device to the operating device based on monitoring instructions and information retrieval instructions received from the operating device via a management information base. The gateway device including a memory and a processor configured to receive the monitoring instruction, set a MAC address associated with the client device, and monitor non-data frames based on the MAC address. The processor further being configured to record the non-data frames associated with the client device, store the recorded non-data frames in the memory, and transmit the recorded non-data frames to the operating device based on the received information retrieval instructions.

Abstract: A computational instance may contain a plurality of vulnerable items and a plurality of change requests, wherein at least some of the vulnerable items are assigned to a vulnerability group, the vulnerable items represent hardware or software components that exhibit known vulnerabilities, and the change requests represent additions, removals, or modifications of the hardware or software components. The computational instance may further include one or more computing devices configured to: generate a representation of a first graphical user interface containing data related to the vulnerability group, generate a representation of a second graphical user interface that allows specification of change request options, generate a representation of a third graphical user interface with data entry fields for a corresponding change request that are auto-populated based on the data related to the vulnerability group, and add a corresponding change request to the plurality of change requests.

Abstract: Disclosed examples obtain an overlap multiplier as a ratio of (1) a first product of a panel duplication reach and a did-not-view reach and (2) a second product of a television panel reach and a digital panel reach, the panel duplication reach based on a duplicated audience size and a panelist population, the did-not-view reach based on a television audience size, a digital audience size, the duplicated audience size, and the panelist population, the television panel reach corresponding to the television audience size, the digital panel reach corresponding to the digital audience size; and determine a total audience for a media item based on a television audience reach, a digital audience reach, and a duplication factor, the duplication factor based on the television audience reach, the digital audience reach, and the overlap multiplier, the television audience reach corresponding to television media, the digital audience reach corresponding to digital media.

Abstract: A software and/or hardware facility for scoring the quality of traffic to a site accessible via the Internet or other network. The facility extracts data from one or more data logs that are obtained from a publisher, advertiser, or third party. A multi-factor analysis in the form of a rule set is applied by the facility to the data. The analysis of the data identifies agent actions that are desirable to a publisher, advertiser, or third party. The facility generates a relative score for each agent action. The score may be used to assess the quality of traffic received by a network site. Lower scores are indicative of traffic having little value, whereas higher scores are indicative of traffic having greater value. The score may be provided to an advertising network and used to charge a variable amount for advertisements based on the quality of traffic that the advertisements receive.

Abstract: To improve an output function of an information processing device, the information processing device includes a first acquisition control unit configured to acquire first setting information which is setting information of the own device; a communication unit configured to communicate with a relay device via a network; a second acquisition control unit configured to acquire second setting information which is setting information of the relay device via the network; a generation unit configured to generate report data by merging the first setting information and the second setting information; and an output unit configured to output the report data.

Abstract: An information handling system is configured to support first and second boot sequences, which invokes first and second bootloaders respectively. The bootloaders may be stored in an NVMe storage boot partition. Each bootloader may be associated with a corresponding encryption key generated by a trusted platform module, which may seal the first and second keys in accordance with one or more measurements taken during the respective boot sequences. The system determines whether a boot sequence in progress comprises is to invoke the first or second bootloader. The system then unseals the appropriate encryption key to access the appropriate bootloader. The first bootloader may be a host OS bootloader and the second bootloader may be for a recovery resource invoked when the host OS fails to load. The recovery resource may enables BIOS to connect to a remote store and download an image via a HTTP mechanism.

Abstract: A computer-implemented method and building automation system, the building automation system including a network of electronic devices connected in electronic communication. The method includes initiating an electronic security scan of the controller. The controller electronically assesses security vulnerabilities of the controller, including identifying one or more of a validation of whether the controller is protected by a firewall or other network security device, identifying which communication ports are open, identifying and verifying an Ethernet and Wi-Fi configuration of the controller, determining whether any routers communicating with the controller are protected by the firewall or other network security device, determining whether the controller is running an up-to-date software or firmware version, and determining a listing of software applications and versions installed on the controller.

Abstract: A network device includes storage. The network device also includes a forwarding information manager. The storage stores forwarding information. The storage also stores information source rankings. The forwarding information manager obtains information from a source. The information source rankings include a ranking associated with the source. The forwarding information manager makes a determination, based on the information source rankings, that the source is undesirable. The forwarding information manager discards the information without processing the information based on the determination.

Abstract: A queue management system including a user data retrieving circuit configured to retrieve a user property of the user and a queue managing circuit configured to model the plurality of users as a non-Newtonian fluid, to analyze the user properties to assign each user an anisometric polarity parameter, and to solve an objective function for a queue property to cause the plurality of users to collectively act as the non-Newtonian fluid in the queue.