Abstract: Methods performed by a physical computing system include automatically identifying, using at least one trained classifier, an action for responding to an anomaly in the execution of the application in a cloud computing system. The at least one trained classifier relates a metrics set to a result of performing an action for addressing an anomaly. Systems and computer readable media are also described herein.

Abstract: A method of associating ad revenue with users includes identifying actual revenue reported for a first user of a plurality of users, identifying first revenue, generated from an interaction, that cannot be associated with the first user due to a lack of ad interaction of the first user, identifying second revenue, generated from one or more interactions, that cannot be associated with users of the plurality of users other than the first user due to a lack of ad interaction of the users other than the first user and associating the second revenue with the first user, and repeating steps a, b, and c for additional users of the plurality of users.

Abstract: Methods performed by a physical computing system include automatically identifying, using at least one trained classifier, an action for responding to an anomaly in the execution of the application in a cloud computing system. The at least one trained classifier relates a metrics set to a result of performing an action for addressing an anomaly. Systems and computer readable media are also described herein.

Abstract: Methods and systems related to planning an execution of an application in a cloud computing system are described herein. The method includes determining whether a workload causes an anomaly associated to the execution of an application. Upon determining that execution of the application under the workload causes an anomaly, an action, or a value of at least one parameter for execution of the application in the cloud computing system, is determined. The action, or the value, is for addressing the anomaly.

Abstract: A system and related method to process natural queries is provided. In one aspect, it is determined whether any portion of the natural language query matches one of a plurality of semantic keywords. In another aspect, the natural language query is translated into at least one database query. In a further aspect, the database query may be executed in a database arranged in accordance with the database model.