Microsoft Technology Licensing, LLC

Juniper Networks, Inc.

Yahoo! Inc.

Brocade Communication Systems LLC

Subbu Subramaniam

Vineet Goel

Bruno Rijsman

Ryan M Rogers

Sunil Bakhru

Ranadip Das

Kallol Banerjee

Ranjini Rajendran

Nathaniel H Ingersoll

Lin Xu

Tracy D Mallory

Parvez Ahammad

Sean S Peng

Adrian Rivera Cardoso

David Anthony Durfee

Rahul Tandra

Jefferson Lai

Mark B Cesar

Seunghyun Lee

Yu Chen

Vinyas Maddi

Shraddha Sahay

Gavin Castro Uathavikul

Neha Jain

Technologies for providing event-level data privacy for streaming post analytics data include, in some embodiments, receiving a data stream that includes instances of count data collected over a time interval, computing a true count breakdown that includes a set of sub-counts of non-public user interface interactions on the post, creating a noisy count breakdown by applying at least one differential privacy mechanism to the set of sub-counts, and streaming the noisy count breakdown instead of the true count breakdown to a computing device. At least one of the sub-counts is a count that is associated with a particular value of an attribute that has different possible values. The attribute is associated with the non-public user interface interactions on the post.

Event-level data privacy for streaming post analytics data

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

A distributed computing system includes a primary device and one or more backend devices. The primary device provides a management interface for the distributed computing system. A plurality of applications may be installed on the backend devices for execution. The primary device generates registration data that associates the applications with management interface commands or configuration parameters in response to messages received from the applications. Subsequently, when the primary device receives a particular command at the management interface, the primary device identifies, based on the registration data, a particular application from among the plurality of applications. In response to identifying the application, the primary device may send to the application an outgoing message.

Configuration of applications for distributed computing systems

Apparatuses, methods, and systems directed to estimating response time and other performance metrics in network communications. Some embodiments of the invention allow users to monitor and estimate response time in real time. In other particular embodiments, the systems disclosed below can be used to estimate response time using server logs. In some embodiments, the present invention involves using open control blocks as a proxy to estimate the number of dropped connections.

Estimation of web client response time

A 'high availability' system comprises multiple switches under the control of one more control processors ('CPs'). Each CP performs a staged startup process when failing-over from another CP or otherwise booting up. The staged startup process involves multiple stages of processing of various executable components of the image. Some stages may depend on the prior execution of other stages. The preferred staged startup process includes the use of a staging table which permits the standby image's FSS facility to efficiently schedule the various stages of the fail-over process taking into account the inter-stage dependencies.

Staged startup after failover or reboot

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Sunnyvale, CA, United States of America

Subbu Subramaniam