Abstract: The network management system (NMS) assesses behavior data such as Ethernet error, speed flapping, cold restart, and/or cloud disconnect collected from a respective one of access points (APs) or other wired client-side devices at an edge of a wired network, and determines whether features of the behavior data are indicative of a bad cable issue at a particular port of a particular network device of the wired network to which the respective AP is connected via a cable. The particular network device may be a third-party network device from which the NMS does not receive behavior data. In the case of a bad cable issue being detected, the NMS outputs a bad cable notification including identification information of the particular port and the particular network device. The NMS enables client-side only, behavior-based bad cable detection at network devices that avoids network traffic disruptions caused by conventional cable tests.

Abstract: One embodiment provides a method, the method including: detecting, using a device repurposing system, at least one device, connected to a network comprising at least one other device, currently unused by a user; determining, using the device repurposing system, one or more attributes of the at least one device; identifying, using the device repurposing system and based upon the one or more attributes of the at least one device, at least one use for the at least one device within the network while the at least one device is unused, wherein the identifying is based upon requirements of the at least one use; and providing, using the device repurposing system, a recommendation to a user to employ the at least one device for the at least one use while the at least one device is unused by the user.

Abstract: The cause of a failure to satisfy a high priority service level objective of a storage object or storage group is localized within a storage array. Storage objects that have been assigned low priority service level objectives are analyzed to determine whether their performance paths overlap with the performance path of the high priority service level objective storage object or storage group at the location of the cause of the failure. The low priority service level objective storage objects having performance paths that overlap with the performance path of the high priority service level objective storage object or storage group at the location of the cause of the failure are targeted for IO data rate reduction in order to free resources to restore compliance with the high priority service level objective. The other low priority service level objective storage objects are not targeted.

Abstract: Artificial Intelligence (AI)-based network control includes obtaining data from a network having a plurality of network elements; analyzing the data with one or more Machine Learning (ML) algorithms to determine one or more actions for network control; analyzing the determined one or more actions to determine any risks associated therewith; and one of allowing, modifying, and blocking the determined one or more actions based on the determined risks to safeguard the network. The risks can be based on one or more of (1) non-deterministic behavior AI inference which is statistical in nature, (2) unbounded uncertainty of the AI inference that can result in arbitrarily large inaccuracy on rare occasions, (3) unpredictable behavior of the AI inference in presence of input data that is different than data in training and testing datasets, and (4) malicious input data.

Abstract: Provided are an IoT device and an IoT communication method. The IoT device may: be connected to a server via NAT; execute a first session for service connection; and execute a second session for calculating a particular keep-alive value corresponding to a period in which an IP address mapped by the NAT expires. The present invention can minimize transmission of a keep-alive value of an IoT device, enables an IoT device to share a particular keep-alive value with other IoT devices, and thus can minimize a network load which may be caused by a keep-alive value of an IoT communication device.

Abstract: A computing system includes a distributed computing cluster including a plurality of computing nodes interconnected by an interconnect network over which the computing nodes of the plurality of computing nodes communicate with each other by passing messages. The computing nodes are configured with a first parameter governing transmissions of messages by the computing nodes over the interconnect network. The computing nodes are configured to accumulate messages for transmission as a group of messages according to the first parameter, and the computing system is configured to limit injections of computing requests into the distributed computing cluster according to a second parameter. A controller is configured to receive at least one predetermined service level requirement and to control a value of the second parameter and a value of the first parameter to control a computational throughput of the distributed computing cluster while complying with the at least one service level requirement.

Abstract: The present disclosure addresses an issue of inherent delay in a cloud-centric architecture in a scenario where multiple remote users join a teleoperation session with a robot such that any one of the users may take exclusive control of the robot and remotely maneuver it as the avatar of a current master. A Web Real-Time Communication (WebRTC) based signaling protocol with a hybrid topology for a multi-user session is provided, wherein Audio-Visual (A/V) data streaming happens over a public cloud while each master creates an on-demand peer-to-peer (P2P) channel with the robot for a desired duration of maneuvering the robot that represents the avatar of the current master. Thus, low-latency delivery of control commands results in good user experience. The provided method and system may be applied to teleoperation sessions like telemedicine sessions.

Abstract: Various aspects involve a lagged prediction model trained for risk assessment or other purposes. For instance, a risk assessment computing system receives a risk assessment query for a target entity and provides an input predictor record for the target entity to a lagged prediction model. The input predictor record includes a first group of lagged values from a first time-series attribute associated with the target entity. The lagged prediction model is trained by implementing a group feature selection technique configured to select the first time-series attribute as input and to deselect a second time-series attribute associated with the target entity. The risk assessment computing system computes an output risk indicator from the input predictor record and transmits the output risk indicator to a remote computing system. The output risk indicator can be used to control access by the target entity to one or more interactive computing environments.

Abstract: Resource provider specifications, characterizing computing resources of computing resource providers, are received. The reachability of each IP address included in the received specification is determined. An agent is deployed that is operable to determine the value of each of a set of metrics in the environment of the host at which the agent is deployed. The agent determines the value of each metric of the set of metrics in the environment of the relevant host, and communicates the determined values to one or more computing devices that validate whether the resources characterized by the communicated values are sufficient to provide the performance characterized by the received specification and that each ISP router complies with a predetermined policy. For each computing resource provider validated and determined to comprise an ISP router compliant with policy, the specified computing resources are added to a pool of resources for cloud computing.

Abstract: The embodiments of the present invention relate to the field of communication. Disclosed are a method for evaluating network quality, an electronic device, and a storage medium. The method for evaluating network quality of the present invention includes: generating a target network topology according to node information in a current network, the target network topology being a network topology structure in which a master node is directly connected to each sub node; determining a network transmission cost of the target network topology as a first network transmission cost and a network transmission cost of the actual network topology as a second network transmission cost according to the node information in the current network, the target network topology and an actual network topology of the current network; and determining a quality evaluation result of the current network according to the first network transmission cost and the second network transmission cost.

Abstract: This disclosure describes techniques for implementing network address translation as a distributed service over the nodes of a logical network fabric, such as a software-defined network fabric. A method includes registering, by an edge node of a network, an IP address of a client device. The method further includes forwarding, by the edge node, the registered IP address to a control plane of the network. The method further includes checking, by the control plane, a network address translation policy. The method further includes recording, by the control plane, translations between the registered IP address and an allocated IP address in a translation table, each of the translations being related to the edge node. The method further includes returning, by the control plane, the translations between the registered IP address and the allocated IP address to the edge node.

Abstract: Methods and systems for managing workloads are disclosed. The workloads may be supported by operation of workload components that are hosted by infrastructure. The hosted locations of the workload components by the infrastructure may impact the performance of the workloads. To manage performance of the workloads, an optimization process may be performed to identify a migration plan for migrating some of the workload components to other infrastructure such as shared edge infrastructure and cloud infrastructure temporarily or permanently. Migration of the workload components may reduce the computing resource cost for performing various workloads and/or reduce workload performance disruptions.

Abstract: Systems and methods described herein provide for receiving, by a network device and from a radio access network (RAN) controller, transmission information related to performing an over-the-air (OTA) update campaign, the transmission information identifying a location of a plurality of user equipment (UE) devices that are to receive an OTA update; receiving, by the network device, an OTA update file associated with the OTA update; and transferring, by the network device, the OTA update file to the plurality of UE devices according to the transmission information.

Abstract: Embodiments are directed to a multi-tenant cloud system. Embodiments receive a request for an authentication action for a user and create an authenticate target action. Embodiments register a cache listener to listen for a target action response that is responsive to the authenticate target action and initiate the authentication action for the user at an on-premise active directory (“AD”) via a bridge. Embodiments wait for a cache callback and, at the cache callback, receive a target action response comprising a result of the authentication action.

Abstract: An instantiated application includes both a runtime instantiation of an application image, and an administrative service operable to install in the instantiated application at least one security module during runtime of the instantiated application in a container. Prior to runtime, a design time agent can access the application image in a repository, examine the application image, and based on the examining, adding at least one security module to the application image prior to instantiation. During runtime, a runtime agent can query parameters of the container, such as static and dynamic variables available on the machine on which the container is running. The runtime agent processes these parameters in conjunction with predefined rules to determine an action such as starting, stopping, adding, and/or changing the security module, such as the method of packet inspection.

Abstract: Systems, methods, and mechanisms for performing ROHC header compression on TCP packets with MPTCP option enabled. A compressor may determine that a first portion of the stream of data packets is formatted according to the transmission control protocol (TCP) with a multipath TCP (MPTCP) option enabled. The compressor may establish context with a corresponding decompressor and may operate in one of three modes of compression based on the context. In some embodiments, when the context indicates that the corresponding decompressor supports decompression of TCP data packets with MPTCP option enabled, the compressor may operate in a first or second mode of compression. In some embodiments, when the context indicates that the corresponding decompressor does not support decompression of TCP data packets with MPTCP option enabled, the compressor may operation in a third mode of compression.

Abstract: In some embodiments, a method for generating customized products in collaboration with live designers is disclosed.

Abstract: Technology for characterizing internet application performance is described. An example method may involve, analyzing client requests from a plurality of internet service providers, the client requests comprising requests to access media items and being associated with internet service provider identities; identifying a set of the client requests that are associated with a first internet service provider; determining for at least one client request of the set: a request time, a payload data quantity, and an elapsed time; calculating a transfer rate comprising an application level throughput for the at least one client request, the transfer rate being based on the payload data quantity and the elapsed time; and calculating a performance measurement of the first and second internet service providers, the performance measurements being based on the transfer rate and on a portion of the set of client requests that have a transfer rate meeting a transfer threshold.

Abstract: Methods, systems, and apparatus for root cause analysis in a communication network. In one aspect, a method includes providing a quantum computer with data representing a topology of the communication network, the topology comprising a graph of vertices representing network devices and edges representing connections between network devices; receiving, from the quantum computer, data representing a first subset of network devices, wherein the first subset comprises a dominating set of vertices or a vertex cover for the graph; monitoring network devices in the first subset to generate alarm data representing triggered network device alarms; providing the alarm data to a quantum computer; receiving, from the quantum computer, data representing a second subset of network devices, wherein the second subset comprises a set cover for the alarm data and the network devices in the second subset comprise diagnosed sources of failures in the communication network.

Abstract: A resource allocation method can be applied to a terminal, and include: determining an application currently running on the terminal and determining network resources required by the application; requesting and acquiring resources allocated by a network side according to the network resources required by the application. By applying to the network device according to the network resources required by the application, waste of resources and power consumption can be reduced.