An information processing method for a computer to execute a process includes, acquiring a plurality of pieces of time-series data; calculating an index value that relates to periodicity at a certain time interval for each piece of aggregated time-series data obtained by dividing and aggregating the plurality of pieces of the time-series data in accordance with a certain unit of aggregation; determining the each piece of the aggregated time-series data as an analysis target when the index value satisfies a certain condition; and performing certain analysis processing on the analysis target.

A system, method, and computer program product are provided for automatically negotiating at least one network service provided by at least one network to at least one computing device. In use, for at least one network service provided by at least one network communicatively coupled to at least one computing device, a required element is determined. A service request is formed based on the required element. The service request is communicated to at least one negotiating device separate from the at least one computing device, the at least one negotiating device associated with at least one of a managing computing device of the at least one network or a second negotiating device. A service proposal, including a proposed element, is received from the at least one negotiating device. The service proposal is evaluated based on the required element.

Systems and methods for tracking resources used by triggers such as alarms and timers that are used by mobile applications to schedule tasks and intelligently manipulating the timing of the triggers to optimize usage of resources such as, but not limited to: network, battery, CPU and/or memory are disclosed. In one embodiment, an intelligent alarm manipulator and resource tracker tracks triggers from multiple applications on a mobile device and corresponding use of resources resulting from the triggers on a mobile device. The intelligent alarm manipulator and resource tracker further determines correlations between the triggers and the corresponding use of the resources on the mobile device and manipulates, based on the correlations, timing or frequency of some or all of the triggers to optimize the use of the resources on the mobile device.

Embodiments of the invention are directed to techniques for detecting anomalous values in data streams using forecasting models. In some embodiments, a computer can receive a value of a data stream comprising a plurality of data values, where the received value corresponds to a time interval and previously received values each correspond to a previous time interval. Models can be selected based on the time interval, where each of the models has a different periodicity. For each of the selected models, the computer may generate a score by generating a prediction value based on the model and generating the score based on the prediction value and the received value. A final score can then be generated based on the scores. Next, a score threshold can be generated. If the final score exceeds the score threshold, the computer may generate a notification that indicates that the data value is an anomaly.

Embodiments of the present disclosure provide a method and apparatus for outputting information. The method includes: summarizing event information into an event database in response to receiving the event information, where the event information includes an event start time, an event end time, a machine name, and an event content; associating and storing event information of a same machine name; querying an event database for event information including a target machine name and an event end time greater than or equal to a predetermined time before a current time and an event start time less than or equal to the current time, in response to receiving a query request including the target machine name; and outputting queried event information.

An application executing on a mobile computing platform provides independent data channels over a mobile network to multiple separate computing systems that each maintain some data pertinent to problem determination and resolution when an incident arises in a monitored information technology (IT) environment. The application maintains and separately exercises the channels to provide timely information in a user interface that composites data to present a single interface with a multi-sourced contextual rendering. Some systems may include an IT monitoring system and a separate incident management system among its sources. Channels may include extended functionality to improve security or other aspects of communication with mobile platforms.

A notification system for monitoring a multi-component system is disclosed. The notification system comprises a notification processing module and an event processing module. The event processing module comprises an event input and an event classifier module. The event input is configured to receive an event signal that comprises at least one status parameter being indicative of at least one of a status and a status change of at least one component of the multi-component system. The event classifier module is configured to classify the event signal into at least one event class based on the at least one status parameter. The notification processing module is configured to generate no user notification or at least one user notification based on the at least one event class. Further, a method of monitoring a multi-component system is disclosed.

A system for monitoring quantized signals in a bidirectional data stream and alerting a networked device of metric divergence by georegion includes a computing system that automatically, for each of multiple user entities, receives input signals and stores corresponding records, associated with the user entity, each representing a quantized input event. The computing system increments a resource of the user entity by a respective input quantity. Georegion-specific attributes associated with a respective georegion are discriminated, and the input records are associated with georegion. The computing system measures user-specific georegion-specific metrics for each georegion and determines whether the metrics diverge from a georegion-specific index. An alert is sent across a network for display on a user device upon determining a user-specific georegion-specific metric diverges from a georegion-specific index.

Methods, systems, and computer-readable media are disclosed herein for proactively managing computing problems. In aspects, an execution of a script is initiated. A connection may be established via the script and the central database for identifying a network quality issue. The network quality issue may be identified more than once. Further, the network quality issue may be identified based on the network quality issue satisfying a threshold. Additionally, it may be determined that the network quality issue that satisfies the threshold is not associated with an electronic documentation based on a search in the central database. Based on determining the network quality issue is not associated with the electronic documentation, the electronic documentation may be created for the network quality issue that satisfies the threshold.

A system, method, and computer program product are provided for operating multi-feed of log data in an AI-managed communication system. In use, an identification of at least one artificial intelligence (AI) system and an identification of at least one AI model of a plurality of AI models used by the AI system are obtained. Additionally, a stream of log data is received, and a log data feed adapted to the AI model is created. Further, the log data feed is communicated using a corresponding AI model of the plurality of AI models.