Abstract: Optimization preferences are defined for optimizing execution of a distributed application. Candidate sets of application parameter values may be tested in test execution environments. Measures of performance for metrics of interest are determined based upon the execution of the distributed application using the candidate sets of application parameter values. Utility curves may be utilized to compute measures of effectiveness for metrics of interest. A multi-attribute rollup operation may utilize the computed measures of effectiveness and weights to compute a grand measure of merit (MOM) for the candidate sets of application parameter values. An optimized set of application parameter values may then be selected based upon the computed grand MOMs. The optimized set of application parameter values may be deployed to a production execution environment executing the distributed application.

Abstract: Technologies are disclosed herein for statistical machine translation. In particular, the disclosed technologies include extensions to conventional machine translation pipelines: the use of multiple domain-specific and non-domain-specific dynamic language translation models and language models; cluster-based language models; and large-scale discriminative training. Incremental update technologies are also disclosed for use in updating a machine translation system in four areas: word alignment; translation modeling; language modeling; and parameter estimation. A mechanism is also disclosed for training and utilizing a runtime machine translation quality classifier for estimating the quality of machine translations without the benefit of reference translations.

Abstract: Technologies are disclosed herein for statistical machine translation. In particular, the disclosed technologies include extensions to conventional machine translation pipelines: the use of multiple domain-specific and non-domain-specific dynamic language translation models and language models; cluster-based language models; and large-scale discriminative training. Incremental update technologies are also disclosed for use in updating a machine translation system in four areas: word alignment; translation modeling; language modeling; and parameter estimation. A mechanism is also disclosed for training and utilizing a runtime machine translation quality classifier for estimating the quality of machine translations without the benefit of reference translations.

Abstract: Systems and methods are provided for mapping dependencies between system components and for analyzing and acting on possible root causes for anomalies experienced by the system components. Aspects of the present disclosure may present for display information associated with the dependency maps and ranked lists of possible root causes of anomalies. Ranking comprises determination of which operating parameters of related system components, when anomalous, will have the greatest effect on the operation of monitored system components. When possible root causes are ranked, notifications may be issued to alert administrators or other systems of the anomaly and the likely root causes.

Abstract: Optimization preferences are defined for optimizing execution of a distributed application. Candidate sets of application parameter values may be tested in test execution environments. Measures of performance for metrics of interest are determined based upon the execution of the distributed application using the candidate sets of application parameter values. Utility curves may be utilized to compute measures of effectiveness for metrics of interest. A multi-attribute rollup operation may utilize the computed measures of effectiveness and weights to compute a grand measure of merit (MOM) for the candidate sets of application parameter values. An optimized set of application parameter values may then be selected based upon the computed grand MOMs. The optimized set of application parameter values may be deployed to a production execution environment executing the distributed application.

Abstract: Systems and methods are provided for mapping dependencies between system components and for analyzing and acting on possible root causes for anomalies experienced by the system components. Aspects of the present disclosure may present for display information associated with the dependency maps and ranked lists of possible root causes of anomalies. Ranking comprises determination of which operating parameters of related system components, when anomalous, will have the greatest effect on the operation of monitored system components. When possible root causes are ranked, notifications may be issued to alert administrators or other systems of the anomaly and the likely root causes.

Abstract: Systems and methods are provided for mapping dependencies between system components and for analyzing and acting on possible root causes for anomalies experienced by the system components. Aspects of the present disclosure may present for display information associated with the dependency maps and ranked lists of possible root causes of anomalies. Ranking comprises determination of which operating parameters of related system components, when anomalous, will have the greatest effect on the operation of monitored system components. When possible root causes are ranked, notifications may be issued to alert administrators or other systems of the anomaly and the likely root causes.