Microsoft Technology Licensing, LLC

Igor Sakhnov

Dmitri A Klementiev

Varun Jain

Michail Zervos

Dhruv Gakkhar

Dinko Papak

LeninaDevi Thangavel

Murli D Satagopan

Hervey O Wilson

Caleb Geoffrey Baker

Gregory C Johnson

Vijayavani Nori

Kateryna Boikovska

Samantha Kwok

Methods, systems, apparatuses, and computer program products are described herein that enable detecting anomalies in time series. An anomaly detection technique is selected from a plurality of detection techniques, and is applied to a first time-series data set (having a first set of dimensions). In response to detecting an anomaly in the time-series data set, the anomaly detection technique is applied to a second time-series data set that is a subset of the first time-series data set. The first time-series data set includes the first set of dimensions plus one or more additional dimensions.

Combination of techniques to detect anomalies in multi-dimensional time series

A system determines a topology of a distributed system and determines, based on the topology, one or more injection points in the distributed system to inject failure scenarios. Each failure scenario including one or more faults and parameters for each of the faults. The system prioritizes the failure scenarios and injects a failure scenario from the prioritized failure scenarios into the distributed system via the one or more injection points. The system determines whether the injected failure scenario causes a response of the distributed system to fall below a predetermined level. The system determines resiliency of the distributed system to one or more faults in the injected failure scenario based on whether the injected failure scenario causes the response of the distributed system to fall below the predetermined level.

Scenarios based fault injection

A computer-implemented method for authorizing access by a client application to a resource of a user maintained on a first server computing system, the client application being implemented on a second server computing system, includes receiving a delegation message from the first server computer system to initiate authorization of the access by the client application, issuing an authorization message to the first server computer system, the authorization message comprising an authorization data package for redemption by the client application, the authorization data package comprising first through fourth integral delegation data indicative of the user, the client application, the resource, and a timestamp, respectively, receiving a redemption message from the second server computing system comprising the authorization data package, conducting an analysis of the authorization data package, and sending an access token to the second server computing system based on the analysis.

Authorization messaging with integral delegation data

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Sammamish, WA, United States of America

Igor Sakhnov