Microsoft Technology Licensing, LLC

Sean S Peng

Sanjay Sachdev

Ryan M Rogers

David Anthony Durfee

Ya Xu

Subbu Subramaniam

Alexander Easton

Seunghyun Lee

In an embodiment, the disclosed technologies include receiving a query that requests aggregate information about entity event data relating to digital content delivered digitally by an entity management system to entities of the entity management system, the query associated with a requester account; determining a first privacy allocation for the requester account; determining a first privacy value, the first privacy value computed based on the query and a selected privacy algorithm; deducting the first privacy value from the first privacy allocation to produce a first privacy balance; causing executing of the query on the entity event data and providing a result set in response to the query only if the first privacy balance indicates that the first privacy allocation has not been depleted.

Analytics interface with privacy management

Techniques for ensuring differential privacy in top-K selection are provided. In one technique, multiple items and multiple counts are identified in response to a query. For each count, which corresponds to a different item, a noise value is generated and added to the count to generate a noisy value, and the noisy value is added to a set of noisy values that is initially empty. A particular noise value is generated for a particular count and added to the particular count to generate a noisy threshold. The particular noise value is generated using a different technique than the technique used to generate each noise value in the set. Based on the noisy threshold, a subset of the noisy values is identified, where each noisy value in the subset is less than the noisy threshold. A response to the query is generated that excludes items that correspond to the subset.

Differentially private top-k selection

A data stream processors transition system which implements techniques for transitioning control from a first data stream processor to a second data stream processor. The data stream processors transition system preserves the integrity of data streams produced by first and second data stream processors when transitioning control between the first to the second data stream processors. For example, timestamp information may be provided to the first data stream processor that specifies when the first data stream processor may transfer control to the second data stream processor. The first data stream processor may process events by consuming and publishing results until the time specified by the timestamp information. The second data stream processor may, after the time specified by the timestamp information, process events by consuming and publishing results.

Transitioning between data stream processors in a publish-subscribe system

Techniques for monitoring performance of a computer system are provided. Bucket data is stored that indicates that multiple buckets are associated with a particular type of request. Then, multiple requests are received, where a first request and a second request indicate the same type of request. Based on the bucket data, the first request is assigned to a first bucket and the second request is assigned to a second bucket. The assignment may be further based on a complexity determined for each request. First performance data is generated while processing the first request and is aggregated with second performance data that was generated while processing one or more third requests that are assigned to the first bucket. Third performance data is generated while processing the second request and aggregated with fourth performance data that was generated while processing one or more fourth requests that are assigned to the second bucket.

Growing community of inventors

Richmond, CA, United States of America

Sean S Peng