Abstract: A computer readable storage medium with executable instructions specifies the execution of a state machine operating across a set of computing nodes in a distributed computing system. The executable instructions execute a set of operators, where the execution of each operator is under the control of a state machine that periodically invokes pause control states to pause the execution of an operator in response to a violation of a service level agreement specifying an operating condition threshold within the distributed computing system. Partitions of input data are formed that are worked on independently within the distributed computing system. A set of data batches associated with the input data is processed. Data partition control states to process the partitions associated with the set of data batches are specified. Key control states to process a set of keys associated with a data partition of the partitions are defined.

Abstract: A computer readable storage medium includes executable instructions to receive a request for data from a multi-dimensional cube divided into partitions distributed across nodes supporting a shared nothing distributed multi-dimensional database. The request is transformed into physical access layer operators in a tree structure. The tree structure is reduced into an index scan operator.

Abstract: A computer readable storage medium includes executable instructions to define an interface to a multi-dimensional cube divided into partitions distributed across nodes supporting a shared nothing multi-dimensional distributed database. The interface includes a metadata module characterizing access paths to data within the multi-dimensional cube and an access path module to convert a data request into an access path protocol to retrieve data from the multi-dimensional cube to satisfy the data request.

Abstract: A computer readable storage medium with executable instructions specifies the execution of a state machine operating across a set of computing nodes in a distributed computing system. The executable instructions execute a set of operators, where the execution of each operator is under the control of a state machine that periodically invokes pause control states to pause the execution of an operator in response to a violation of a service level agreement specifying an operating condition threshold within the distributed computing system. Partitions of input data are formed that are worked on independently within the distributed computing system. A set of data batches associated with the input data is processed. Data partition control states to process the partitions associated with the set of data batches are specified. Key control states to process a set of keys associated with a data partition of the partitions are defined.

Abstract: A computer readable storage medium includes executable instructions to receive a request for data from a multi-dimensional cube divided into partitions distributed across nodes supporting a shared nothing distributed multi-dimensional database. The request is transformed into physical access layer operators in a tree structure. The tree structure is reduced into an index scan operator.

Abstract: A computer readable storage medium with executable instructions specifies the execution of a state machine operating across a set of computing nodes in a distributed computing system. The executable instructions execute a set of operators, where the execution of each operator is under the control of a state machine that periodically invokes pause control states to pause the execution of an operator in response to a violation of a service level agreement specifying an operating condition threshold within the distributed computing system. Partitions of input data are formed that are worked on independently within the distributed computing system. A set of data batches associated with the input data is processed. Data partition control states to process the partitions associated with the set of data batches are specified. Key control states to process a set of keys associated with a data partition of the partitions are defined.

Abstract: A software facility that analyzes consumer interactions with one or more marketing campaigns and the results of those interactions to generate a cross-media or cross-channel attribution model representing the true impact of marketing resource allocation decisions is provided. The facility collects, from a plurality of sources, information representing consumer interactions with marketing campaigns and any results of those interactions. The facility aggregates the information to assess or determine the behavior of consumers with respect to different marketing campaigns and marketing channels. The facility analyzes the information according to varying depths or levels of channel granularity to generate models representative of the true impact of resources allocated to each channel or sub-channel on the performance or effectiveness of the marketing campaign. The facility or other processes may use the generated models to inform future marketing resource allocation decisions.

Abstract: A computer readable storage medium with executable instructions specifies the execution of a state machine operating across a set of computing nodes in a distributed computing system. The executable instructions execute a set of operators, where the execution of each operator is under the control of a state machine that periodically invokes pause control states to pause the execution of an operator in response to a violation of a service level agreement specifying an operating condition threshold within the distributed computing system. Partitions of input data are formed that are worked on independently within the distributed computing system. A set of data batches associated with the input data is processed. Data partition control states to process the partitions associated with the set of data batches are specified. Key control states to process a set of keys associated with a data partition of the partitions are defined.

Abstract: A distributed computing system includes a memory storing execution state collected prior to an operator pause state. A controller modifies, during the operator pause state, characteristics of the distributed computing system. The controller invokes execution of the operator after the pause state such that the operator accesses the execution state to complete an operation.

Abstract: A computer readable storage medium with executable instructions specifies the execution of a state machine operating across a set of computing nodes in a distributed computing system. The executable instructions execute a set of operators, where the execution of each operator is under the control of a state machine that periodically invokes pause control states to pause the execution of an operator in response to a violation of a service level agreement specifying an operating condition threshold within the distributed computing system. Partitions of input data are formed that are worked on independently within the distributed computing system. A set of data batches associated with the input data is processed. Data partition control states to process the partitions associated with the set of data batches are specified. Key control states to process a set of keys associated with a data partition of the partitions are defined.

Abstract: A distributed database system providing data and space management methodology is described. In one embodiment, for example, a method is described for detection of deadlocks in a distributed database system comprising a plurality of servers sharing access to data, the method comprises steps of: in response to a task at a first server waiting to obtain a lock regulating access to data, sending a search request including lock information to a second server holding the lock; at the second server, examining dependencies of the task holding the lock based on the lock information received with the search request and local lock information; if the task holding the lock is waiting to obtain a lock held by an additional server, forwarding the search request and local lock information to the additional server; repeating the examining and forwarding steps until all dependencies are examined; and responding to the search request indicating whether a deadlock was detected and providing lock information found.