Microsoft Technology Licensing, LLC

James David Ryseff

Nigel Robin Ellis

Johannes Klein

Ronnie Chaiken

Lijiang Fang

Srinivasmurthy P Acharya

Amit Shukla

Bikas Saha

Hua Yuan

Chang Luo

Siddhartha Singh

Systems, methods, and computer media for scheduling vertices in a distributed data processing network and allocating computing resources on a processing node in a distributed data processing network are provided. Vertices, subparts of a data job including both data and computer code that runs on the data, are assigned by a job manager to a distributed cluster of process nodes for processing. The process nodes run the vertices and transmit computing resource usage information, including memory and processing core usage, back to the job manager. The job manager uses this information to estimate computing resource usage information for other vertices in the data job that are either still running or waiting to be run. Using the estimated computing resource usage information, each process node can run multiple vertices concurrently.

Concurrent data processing in a distributed system

A framework for data change notification includes a notification queue storing event notifications. Client applications can request event information regarding various data change events. For example, a client application can subscribe, via one or more APIs, to receive event information. The framework allows for session specific event notification mechanisms as well as durable event notification mechanisms that can be preserved across client sessions as well as server restarts. Innovative aspects of this invention include guaranteed delivery of event notifications, APIs to allow applications get summary of past events on the subscribed objects, automatic garbage collection/cleanup of notifications when a client session terminates.

Providing change notifications to an entity-regarding a change of a specific type to data in a relational database

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Redmond, WA, United States of America

James David Ryseff