Patent classifications
H04L43/0805
SAFE TEST ARRANGEMENT
A flexible test arrangement for performing measurements on a test object. A plurality of safety components, each having a safety module which can be set to active or inactive, and having a ready status which can be set to active or inactive, is provided in a circular test arrangement. Each of the safety components carries out a number of function tests cyclically. As one of the function tests, a cyclical, error-free reception of a data packet is tested. One of the safety components is selected as a bus master which cyclically transmits a bus verification signal in a data packet to the safety component which is adjacent in the direction of transmission, wherein the bus verification signal is relayed by each of the safety components in a data packet, and, when said bus verification signal is received in a data packet, the bus master determines that the circular test arrangement is closed.
SAFE TEST ARRANGEMENT
A flexible test arrangement for performing measurements on a test object. A plurality of safety components, each having a safety module which can be set to active or inactive, and having a ready status which can be set to active or inactive, is provided in a circular test arrangement. Each of the safety components carries out a number of function tests cyclically. As one of the function tests, a cyclical, error-free reception of a data packet is tested. One of the safety components is selected as a bus master which cyclically transmits a bus verification signal in a data packet to the safety component which is adjacent in the direction of transmission, wherein the bus verification signal is relayed by each of the safety components in a data packet, and, when said bus verification signal is received in a data packet, the bus master determines that the circular test arrangement is closed.
Methods and network devices for detecting and resolving abnormal routes
The embodiments herein relate to a method in a network device. In one embodiment, there proposes a method in a network device, comprising: determining a classification to which a route belongs based on one or more classification criteria; determining, based on the classification to which the route belongs, a detection mechanism for detecting whether the route is an abnormal route; detecting whether the route is an abnormal route using the determined detection mechanism. With the embodiments herein, the abnormal routes, especially the black hole routes, can be automatically detected and resolved in real time.
Methods and network devices for detecting and resolving abnormal routes
The embodiments herein relate to a method in a network device. In one embodiment, there proposes a method in a network device, comprising: determining a classification to which a route belongs based on one or more classification criteria; determining, based on the classification to which the route belongs, a detection mechanism for detecting whether the route is an abnormal route; detecting whether the route is an abnormal route using the determined detection mechanism. With the embodiments herein, the abnormal routes, especially the black hole routes, can be automatically detected and resolved in real time.
SYSTEM AND METHOD FOR WARRANTY CUSTOMIZATION BASED ON CUSTOMER NEED AND PART FAILURE RATE
Systems and methods provide customers with a need-based warranty using a deep learning neural network. After categorizing, a customer need is mapped to a warranty type based on the SLA needs. Warranties may then be suggested based on customer need. In another embodiment, systems and methods detect an optimal warranty based on part failure and performance of a server. A mean time to resolve or replace can be minimized in future failure instances by comparing the derived replacement time with available warranty offerings to identify potential deviations and thereby recommend an optimal warranty from the available offerings. In a further embodiment, systems and methods identify and offer additional service contracts for vender services. A warranty proposer looks for warranty types that are emitted by a warranty-types analyzer and by a technical-support analyzer. The overlapping warranty offers are provided to customers.
APPLICATION SERVICE LEVEL EXPECTATION HEALTH AND PERFORMANCE
Techniques are described for monitoring application performance in a computer network. For example, a network management system (NMS) includes a memory storing path data received from a plurality of network devices, the path data reported by each network device of the plurality of network devices for one or more logical paths of a physical interface from the given network device over a wide area network (WAN). Additionally, the NMS may include processing circuitry in communication with the memory and configured to: determine, based on the path data, one or more application health assessments for one or more applications, wherein the one or more application health assessments are associated with one or more application time periods for a site, and in response to determining at least one failure state, output a notification including identification of a root cause of the at least one failure state.
Information processing method, computer-readable recording medium storing information processing program, information processing apparatus, and information processing system
An information processing method executed by a computer includes: specifying one or a plurality of first physical resources on which virtual resources used by a first user operate; specifying a device connected to the first physical resource and one or a plurality of second physical resources different from the first physical resource, which is connected to the device and on which virtual resources used by a user other than the first user operate; and outputting information that indicates the first physical resource and information that indicates the second physical resource.
High performance software-defined core network
A method comprising instantiating virtual routers (VRs) at each of a set of nodes that form a network. Each VR is coupled to the network and to a tenant of the node. The network comprises virtual links in an overlay network provisioned over an underlay network including servers of a public network. The method comprises configuring at least one VR to include a feedback control system comprising at least one objective function that characterizes the network. The method comprises configuring the VR to receive link state data of a set of virtual links of the virtual links, and control routing of a tenant traffic flow of each tenant according to a best route of the network determined by the at least one objective function using the link state data.
Auto switching for enterprise federated network slice
A method in which an enterprise switches its devices to various federated network slices across operators based on cost, time, quality, and/or availability parameters defined in flexible rules managed by the enterprise. The method includes obtaining, by a controller of an enterprise, one or more parameters of a device served by a network slice of a core network. The method further includes, based on the one or more parameters of the device and one or more rules, determining, by the controller, whether a triggering event associated with a slice reselection occurred and based on the triggering event and the one or more rules, selecting, by the controller, a federated network slice from among a plurality of network slices provided by a plurality of core networks. The method further includes the controller causing the device to switch from the network slice to the federated network slice.
IMPROVING SOFTWARE DEFINED NETWORKING CONTROLLER AVAILABILITY USING MACHINE LEARNING TECHNIQUES
A method of managing a controller of a software defined networking (SDN) network is implemented by a computing device in the SDN network. The method includes receiving status information for the controller, receiving usage information for the operating environment, generating at least one failure prediction for the controller based on the received status information, and outputting prediction information for the at least one failure prediction.