Abstract: This application relates to the field of communications technologies, and discloses a network parameter (for example, an ECN threshold) configuration method and an apparatus, to dynamically configure a network parameter based on a change of a network transmission characteristic, so that the network parameter is dynamically adapted to a change of network traffic, thereby ensuring network transmission performance. The method includes: obtaining network statistical data corresponding to a first period, where the network statistical data includes a network transmission characteristic of a network device in the first period and a first value corresponding to a specified network parameter; determining, based on the network statistical data, a second value corresponding to the specified network parameter; and configuring the specified network parameter of the network device in a second period to the second value, where the second period is a period after the first period.

Abstract: The present invention relates to a method for streaming, on a player of a client device (11), a broadcast content within a peer-to-peer network (10) of client devices (11, 12), said content consisting of a sequence of segments available in a plurality of levels of quality and said player being adapted to choose the level of quality of the segments in accordance with an adaptive bitrate ABR regulation logic; the client device (11) comprising a first buffer (M1) adapted to store segments in a format suitable for transfer within the peer-to-peer network (10), the method being characterized in that it comprises the implementation, by data processing means (110) of the device (11), of steps of: a. Receiving a request for a segment from the player; b. Providing, in response, said segment from the first buffer (M1) upon expiry of a response deadline defined with respect to said ABR logic of the player.

Abstract: Methods, apparatus, and systems for data plane interface network Quality of Service (QoS) in multi-tenant data centers. Data plane operations including packet generation and encapsulation are performed in software running in virtual machines (VMs) or containers hosted by a compute platform. Control plane operations, including QoS traffic classification, are implemented in hardware by a network controller. Work submission and work completion queues are implemented in software for each VM or container. Work elements (WEs) defining work to be completed by the network controller are generated by software and processed by the network controller to classify packets associated with the WEs into QoS traffic classes, wherein packets belonging to a give traffic flow are classified to the same QoS traffic class.

Abstract: The present disclosure is to propose a method and device for improving a link aggregation protocol timeout. method for improving a link aggregation timeout. The method includes the following steps: setting a timeout value and a timeout threshold count of link aggregation control protocol data unit (LACPDU) packet reception of a switch; obtaining a timeout count statistically, in response to a timeout of reception of a link aggregation control protocol data unit (LACPDU) packet from a second switch by a first switch; determining, through a network controller, in response to that the timeout count is greater than the timeout threshold count and that an aggregated link between the switches is in an out-of-band management mode, whether a port of the second switch is abnormal; and removing, in response to the port of the second switch being abnormal, the abnormal port of the second switch from the aggregated link.

Abstract: A method and/or system may receive a test application to be tested on a wireless communication network. The method and/or system may obtain a test design for the test application. The test design may include at least one performance parameter. The method and/or system may define at least one slice of the wireless communication network to test the test application based on the test design. The at least one slice of the wireless communication network may include at least one test wireless network service (e.g. a radio access network). The method and/or system may perform at least one performance test on the at least one slice of the wireless communication network for the test application based on the at least one performance parameter. By designating performance parameters in test designs, the testing may be optimally effective, efficient, and practical.

Abstract: Systems and methods include providing functionality for the user device while operating in background on the user device including providing secure connectivity with a cloud-based system over a network; continuously collecting packets intercepted by the enterprise application over a time interval, wherein the collected packets are collected over the time interval; and responsive to an issue with functionality of the enterprise application, transmitting the collected packets to a back end server for troubleshooting of the issue. The time interval is a set amount of time, and each collected packet is deleted at the expiration of the time interval.

Abstract: One method occurs at a test system controller of a network test system implemented using at least one processor. The method includes establishing agent association criteria for a test system traffic generation agent to be deployed in a cloud computing system under test (SUT) and receiving a registration message from the test system traffic generation agent in response to a launching of the test system traffic generation agent in the cloud computing SUT. The method further includes obtaining agent property values associated with the one test system traffic generation agent from the registration message and sending test configuration data to the test system traffic generation agent in response to determining a match between the agent property values and the agent association criteria, wherein the test configuration data configures the test system traffic generation agent to operate as a predefined network segment in the cloud computing SUT.

Abstract: Effective management of cloud computing service levels (e.g. availability, performance, security) and financial risk is dependent on the cloud service provider's (CSP's) capability and trustworthiness. The invention applies industry cloud service level agreements (SLAs) with statistical and machine learning models for assessing CSPs and cloud services, and predicting performance and compliance against service levels. Cloud SLAs (ISO/IEC, EC, ENISA), cloud security requirements and compliance (CSA CCM, CAIQ), along with CSP performance (SLAs, cloud services) are analyzed via Graph Theory analysis and MCDA AHP to calculate CSP trustworthiness levels. CSP trustworthiness levels are input with CSP SLA content, cloud service performance measurements and configuration parameters into machine learning Regression analysis models to predict CSP cloud service performance and cloud SLA compliance, and enable model analysis and comparison.

Abstract: A deep reinforcement learning-based information processing method includes: determining whether a target edge computing server enters an alert state according to a quantity of service requests received by the target edge computing server within a preset time period; when the target edge computing server enters the alert state, obtaining preset system status information from a preset memory library; computing an optimal action value corresponding to the target edge computing server based on a preset deep reinforcement learning model according to the preset system status information and preset strategy information; and generating an action corresponding to the target edge computing server according to the optimal action value, and performing the action on the target edge computing server. A deep reinforcement learning-based information processing apparatus for an edge computing server includes a first determining module, an acquisition module, a first computing module, a first generation module.

Abstract: In one embodiment, a network assurance service that monitors a network maps time series of values of key performance indicator (KPIs) measured from the network to lists of unique values from the time series. The service sets a target alarm rate for anomaly detection alarms raised by the network assurance service. The service uses an optimization function to identify a set of thresholds for the KPIs. The optimization function is based on: a comparison between the target alarm rate and a fraction of network issues flagged by the service as outliers, KPI thresholds selected based on the lists of unique values from the time series, and a number of thresholds that the KPIs must cross for the service to raise an alarm. The service raises an anomaly detection alarm for the monitored network based on the identified set of thresholds for the KPIs.

Abstract: A computing system identifies mitigation actions in response to failures within a computer network. A service level objective is obtained by the computing system for client-resource data flows traversing the computer network between client-side and resource-side nodes. Indication of a failure event at a network location of the computer network is obtained. For each mitigation action of a set of candidate mitigation actions, an estimated impact to a distribution of the service level objective is determined for the mitigation action by applying simulated client-resource data flows to a network topology model of the computer network in combination with the mitigation action and the failure event. One or more target mitigation actions are identified by the computing system from the set of candidate mitigation actions based on a comparison of the estimated impacts of the set of candidate mitigation actions.

Abstract: Disclosed are a method and device for timeout monitoring, comprising: determining key information of a request message, the key information including a sending time of the request message; storing the key information to a first level cache; scanning the first level cache according to a set frequency, if the first level cache includes a first request message, storing the key information of the first request message into a second level cache, the first request message being a request message for which a reply message is not received; scanning the second level cache, and determining by a message log whether a reply message is received for a second request message in the second level cache, if not, the second request message times out, the second request message is a request message in which the difference value between a sending time and a current time is greater than a time-out threshold.

Abstract: Architectures and techniques are presented that provide an improved mechanism for a subscriber entity to report to a network provider a network issue that affects the performance of an application that uses a service provided by the network provider. The improved mechanism can enable fine granularity with respect to the network issue by identifying the issue on a per-session basis. In response to feedback data that is reported by the subscriber entity, the network provider can perform self-healing or other upgrade techniques to rapidly remedy the network issue.

Abstract: Example methods and systems for packet handling in a software-defined networking (SDN) environment are disclosed. One example method may comprise detecting an egress application-layer message from a first logical endpoint supported by a first host; and identifying a second logical endpoint supported by the second host for which the egress application-layer message is destined. The method may also comprise generating an egress packet that includes the egress application-layer message and metadata associated with the second logical endpoint, but omits one or more headers that are addressed from the first logical endpoint to the second logical endpoint. The method may further comprise sending the egress packet to the second host to cause the second host to identify the second logical endpoint based on the metadata, and to send the egress application-layer message to the second logical endpoint.

Abstract: Adaptive storage processing for storage-as-a-service, including detecting, by a cloud-based monitoring system, a storage system state for a storage system by monitoring the storage system in real-time remotely via a network; selecting, by the cloud-based monitoring system based on the storage system state, an entry in a tunables repository, wherein the entry in the tunables repository comprises a tunable parameter for the storage system state; accessing, by the cloud-based monitoring system via the network, a gateway for the storage system; and modifying, by the cloud-based monitoring system via the gateway, the tunable on the storage system based on the tunable parameter for the storage system state.

Abstract: In the present disclosure, a network monitoring system is provided including an IP network monitoring unit (610) that monitors an IP network to which an IP device is connected; and a non-IP device monitoring unit (630) that monitors a non-IP device. It is possible to monitor both the IP network and the non-IP device in a system that includes the IP network including the IP device and the non-IP device.

Abstract: A system, method and non-transitory computer readable media for optimizing input data for an ML model associated with a communications network. In one implementation, example ML model(s) may be trained using a modified dataset obtained for a plurality of cellular aggregation units (CAUs) of the RAN infrastructure(s), wherein the modified dataset is derived from data collected for individual CAUs over a data collection period with respect to a plurality of KPI variables. The modified data set is optimized by replacement of null values of variables with corresponding modal values of the variables. The trained ML model may be used for predicting one or more KPIs based on a set of test data associated with the RAN infrastructure(s).

Abstract: A system for delivering notification messages across different notification media comprises a processor. A processor is configured to provide an indication of a new platform notification channel to one or more platform notification services. The indication is provided to one of the one or more platform notification services through a communication module specific to the one of the one or more platform notification services. The processor is configured to create a mapping from a new universal notification channel to a set of one or more platform notification channel identifiers. Each platform notification channel identifier of the set of platform notification channel identifiers is received from a platform notification service. The processor is configured to provide the set of one or more platform notification channel identifiers to a content provider of the new universal notification channel. The processor is coupled to the memory and is configured to store instructions.

Abstract: Systems and methods for match and collect user data and/or user device data within a current Internet access session of a user for use by user notification systems that generate, distribute and display informational messages over the Internet. The system includes a source data reception unit configured to receive a source IP address and a source user device port matched with the translated IP address and with the translated port of the operator or the provider from the NAT service. A data matching unit matches user data and/or user device data from all available sources, including but not limited to operator or provider databases, using the received source IP address and the received user device port. The systems and methods provide delivery of informational messages based on collected/matched user data and/or user device data provided to the maximum number of real identified users.

Abstract: Systems and methods are provided that enable a general framework for partitioning application-defined jobs in a scalable environment. The general framework decouples partitioning of a job from the other aspects of the job. As a result, the effort required to define the application-defined job is reduced or minimized, as the user is not required to provide a partitioning algorithm. The general framework also facilitates management of masters and servers performing computations within the distributed environment.