Microsoft Technology Licensing, LLC

Suren Aghajanyan

Roman Batoukov

Sai Sankalp Arrabolu

John Anthony Morman

Thomas William Potthast, Iii

Anastasiia Pronska

Khoa Van Tran

Keiji Kanazawa

Jian Zhang

Craig Anthony Osborne

Zeqiang Wang

Lech Gudalewicz

Thomas W Potthast

Benjamin J Lofton

Richard Wydrowski

Irina Frumkin

Wenjiao Qi

Examples described herein generally relate to receiving a query context for service events occurring on one or more networks, determining, based on the query context, a set of service events occurring on the one or more networks, querying multiple layers of a multiple-layer relational graph to determine one or more other service events having a defined relationship with the set of service events at one or more of the multiple layers, where the multiple layers include a configuration layer, an observation layer, and learned layer, defining relationships between services or service events, and indicating, via a user interface and in response to the query context, the one or more other service events.

Techniques for correlating service events in computer network diagnostics

Systems and methods for data anomaly detection include recommending one or more algorithms from a set of algorithms to process received time series data, wherein the one or more algorithms are recommended based at least in part on a type of workload for processing the received time series data. Assisted parameter tuning is provided for a detected anomaly alert and calibration, and the received time series data is processed based on a user selected algorithm that is parameter tuned.

Data anomaly detection

Examples described herein generally relate to managing a knowledge graph by providing, to an agent and based on a request from the agent, an output of a number of signals having an indicated correlation in a knowledge graph, receiving, from the agent, additional correlation information for at least a portion of the number of signals and/or additional signals, and storing, in the knowledge graph, the additional correlation information.

Techniques for updating knowledge graphs for correlating service events in computer network diagnostics

Systems and methods are provided for optimizing data structures to improve the data retrieval through the use of bucketing techniques. A number of objects within an environment is drastically reduced utilizing bucketing techniques. Within the buckets, items are sequentially organized such that location is quicker. Items, or keys, are aligned with the same hash value together in a bucket and a mapping of the hash value to the offset of the first key occurrence in that bucket. This guarantees each lookup operation is only two random read accesses. Systems and methods provided herein control the pressures on a system for garbage collection and minimize memory usage with minimal impacts on performance.

High performance dictionary for managed environment

A method and a processing device may be provided for state management of an operating system and applications. A framework may be provided for separating behaviorless state information from code or instructions for executing a method. Applications may have instances of state information derived from, or completely different from, instances of state information of an operating system. Instances of state information for an application may be layered over corresponding instances of state information of the operating system, such that the application and the operating system may have different views of the instances of the state information. At least one policy may be defined, which may include rules for resolving conflicts, information for providing a merged view of data from multiple repositories, default values for instances of data, as well as other information. In various implementations, referential integrity of state information may be guaranteed.

State management of operating system and applications

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Bellevue, WA, United States of America

Suren Aghajanyan