The present disclosure relates to a method and/or apparatus for versioning cloud network configuration. The method can include receiving base configuration files for a set of devices forming at least a portion of a computing network, pulling current configuration files from each device of the set of devices, for each device, and determining a discrepancy when a base configuration file of the device and a current configuration file of the device do not match. When the discrepancy is determined for a device, generating a patch file based on the determined discrepancy for that device. The method can include extracting a last configuration commit time from that device, allocating a unique snapshot identifier to the patch file and associated with the last configuration commit time, and populating a snapshot database.

A method, system, and computer program product for abnormal data detection. According to the method, a plurality of data points collected at different time points are classified into a plurality of groups. A plurality of groups of potential abnormal data points are determined from the plurality of groups. Correlations between a first group of the plurality of groups of potential abnormal data points with other groups of potential abnormal data points are determined. In response to the first group of the plurality of groups of potential abnormal data points being uncorrelated to a majority of the other groups of potential abnormal data points based on the correlations, data points in the first group are identified as abnormal data points.

A network management apparatus according to an embodiment includes: an acquiring unit which acquires an information object related to a plurality of occurrence paths of a failure in a logical layer of a network configuration; and a retrieving unit which: retrieves, as a candidate of a facility to be a failure cause, information objects related to the facility layer and the physical layer commonly associated with the information object related to the plurality of occurrence paths of the failure having been acquired by the acquiring unit among information objects related to the facility layer; calculates, for each of the retrieved information objects related to the candidate of a facility to be the failure cause, the number of information objects which are associated with the object and which are related to the plurality of occurrence paths of the failure as a multiplicity; and calculates, for each of the retrieved information objects related to the candidate of a facility to be the failure cause, a proportion of the multiplicity with respect to the number of information objects in the logical layer which are affected when the failure occurs in the object.

Network management techniques are described. A controller device of this disclosure manages a device group of a network. The controller device includes processing circuitry in communication with the memory, the processing circuitry being configured to receive, using a programmable diagnosis service executed by the processing circuitry, a programming input, to form, using the programmable diagnosis service, based on the programming input, a resource definition graph that models interdependencies between a plurality of resources supported by the device group, to detect, using the programmable diagnosis service, an event affecting a first resource of the plurality of resources, and to identify, using the programmable diagnosis service, based on the interdependencies modeled in the resource definition graph formed based on the programming input, a root cause event that caused the event affecting the first resource, the root cause event occurring at a second resource of the plurality of resources.

Present disclosure relates to methods, processing systems and computer program products of analyzing contention data and following resource blockers to find root causes of computer problems. The method may include: detecting one or more resource waiters in a computer system, iteratively determining whether the resource blockers are a resource waiter, until a final resource blocker not waiting for another resource is found, determining, whether final resource blocker is caused by a resource blocker in a different computer system, iteratively executing, the method on the different computer system to find the final resource blocker not waiting for another resource is found, determining, whether the final resource blocker has more than one symptom that may or may not be a contention problem, selecting a symptom that has the highest priority as the root cause of the computer problems, and generating, using the processor, a report of root causes of the computer problems.

A method and apparatus for processing cluster node failure, a computer device and a readable storage medium. The method includes: circularly acquiring state information of multiple nodes in a cluster, and on the basis of the state information, determining whether a corresponding node fails; in response to failure of the node, sending failure information to multiple OSDs under the node; in response to the multiple OSDs receiving the failure information, according to the failure information, selecting a Monitor to send down information, and setting states of the multiple OSDs to be down; and in response to the Monitor receiving the down information, updating an OSDMap on the basis of the down information, and sending the updated OSDMap to OSDs under other nodes.

A system and method of managing a network with assets are described. The method includes generating a directed graph with each of the assets represented as a node, determining individual failure probability of each node, computing downstream failure probability of each node according to an arrangement of the nodes in the directed graph, computing upstream failure probability of each node according to the arrangement of the nodes in directed graph, and computing network failure probability for each node based on the corresponding individual failure probability, the downstream failure probability, and the upstream failure probability. Managing the network is based on the network failure probability of the assets.

Methods and apparatus for detecting whether network nodes and CPE devices serviced by the network nodes are in the same region of a utility power grid are described. Methods and apparatus for using the result of the determination to control, e.g., automatically, backup power resource allocation are also described. Transforming the information collected from CPE devices and other devices into images which are displayed, e.g, as maps, is also described. An automatic determination of whether a network node is in the same power grid region as one or more groups of CPE devices to which the network node provides service. If a network node and a group of CPE devices serviced by the network node are in different utility power regions, backup power devices are automatically deployed to support service to CPE devices during an external power outage at the network node.

A network fix application may automatically determine a root cause of an issue with a wireless carrier network and generate a network fix prioritization to implement a solution for the root cause before receiving a customer or network trouble ticket. Initially, a data adaptor platform may receive performance data regarding user device and network components of a wireless carrier network from multiple data sources. The network fix application may analyze the performance data using a trained machine learning model to predict a root cause for the issue affecting the one or more user devices based on the symptoms indicated in the performance data. Additionally, the network fix application may analyze the performance data using another trained machine learning model to provide a network fix prioritization to implement a resolution for each predicted root cause in the most optimal order.

A mass storage system obtains an hierarchical cluster mapping information; Host port state information, which is indicative of a state of at least one host port, is received from an intermediate device of a network that couples hosts to the mass storage system; The mass storage system estimates a state of an entity, which may be one or more host computers or a cluster of host computers. The estimating is based on the hierarchical cluster mapping information and the host port state information. The mass storage system determines whether to generate an alert, in response to the estimated state of the at least one entity. If it is determined to generate an alert then an alert is generated.