Microsoft Technology Licensing, LLC

Anastasios Kasiolas

Lance Olson

Eric Lynn Eilebrecht

Michael Steven Vernal

Marcus Jon Jager

Steven Robert Sandke

Matthew Terence Hayes

Marc Andrew Power

Ronald H Jones, Jr

Michael Thomas Dice

Mauro Ottaviani

Alfred M Lee, Iv

Christopher G Kaler

Erik B Christensen

Kenneth David Wolf

Stephen James Millet

Giovanni Moises Della-Libera

David Wortendyke

James Ernest Johnson

Tirunelveli R Vishwanath

Richard Douglas Hill

Stefan R Batres

Umesh Madan

Michael James Coulson

Stefan Harrington Pharies

John David Doty

Craig Andrew Critchley

Vijay Gajjala

Michael Marucheck

Uday Sooryakant Hegde

Elliot Lee Waingold

Krishnan Srinivasan

Geary L Eppley

Matthew Thomas Tavis

Tomasz Janczuk

David Edwin Levin

Stephen T Swartz

Shy Cohen

Max A Feingold

Richard Dievendorff

Douglas M Purdy

Natasha Harish Jethanandani

David Owen Driver

Aaron Stern

Siddhartha Puri

Saurab Nog

Douglas A Walter

Jesus Ruiz-Scougall

Kapil Gupta

Vipul A Modi

Ryan Thomas Sturgell

Sowmyanarayanan K Srinivasan

Scott Christopher Seely

Jonathan T Wheeler

Mohammad Makarechian

Evgeny Osovetsky

Alexander Martin DeJarnatt

Chaitanya Dutt Upadhyay

Yaniv Pessach

Erin Honeycutt

Eugene Shvets

Yasser Shohoud

Anand Rjagopalan

Arthur W Liao

Mohamed-Hany Essam Ramadan

Serge Sverdlov

Nicolas F Barry

Vaithialingam B Balayogan

Server-side control of client-side quality-of-service tracking is provided. When a service is being provided to a client device, a server provides aggregation rules to a client device as part of the service. The client device executes instructions in the aggregation rules to collect QoS metrics regarding the service on the client device and to manipulate the QoS metrics to generate aggregated QoS data. The client device reports the aggregated QoS data to a server for storage and analysis.

Rule-based system for client-side quality-of-service tracking and reporting

A request management component receives requests to perform an operation. Each of the requests is assigned, based on one or more criteria, to one of multiple different request groups. Based at least in part on execution policies associated with the request groups, determinations are made as to when to submit the requests to one or more recipient. Each of the multiple requests is submitted to one of the recipients when it is determined that the request is to be submitted.

Managing requests based on request groups

Server-side control of client-side quality-of-service tracking is provided. When an event occurs at a client, a measurement client collects event parameters and generates aggregated measurement data in accordance with aggregation rules that are provided to the measurement client from a server-side measurement service. The measurement client periodically reports the aggregated measurement data to the measurement service for storage and analysis.

Preserving session state correlation in a distributed computing environment in which a service module instance receives messages from a general input buffer. The general input buffer is not accessed by a service module instance once the service module instance is determined to be recycled. After the service module instance receives a session initiation message through the general input buffer, a session-oriented input buffer is associated with the service module instance. Any subsequent session messages are then received by the service module via the session-oriented input buffer. Even if the service module instance was determined to be recycled mid-session, the service module instance would still operate to process all of the remaining session messages from the session input buffer, thereby preserving session continuity.

Mechanism for preserving session state when using an access-limited buffer

A peer-to-peer auction based strategy balances the storage of data in a data center. Each cluster of the data center has a cluster manager and associated data storage nodes on which data is stored. The data storage nodes can periodically announce their respective utilization levels to other data storage nodes. If the announcing nodes are over capacity, the other nodes in the cluster respond by checking their utilization level and placing a bid if they are able to accept new data. Data is then relocated to one or more selected bidding nodes. If data cannot be balanced at the data storage node level, the cluster manager can identify nodes in other clusters that are able to accept new data. Multiple auctions for the same or different categories of data can be conducted at the same time by the data storage nodes and/or cluster managers.

Peer-to-peer auction based data distribution

A web services namespace pertains to an infrastructure for enabling creation of a wide variety of applications. The infrastructure provides a foundation for building message-based applications of various scale and complexity. The infrastructure or framework provides APIs for basic messaging, secure messaging, reliable messaging and transacted messaging. In some embodiments, the associated APIs are factored into a hierarchy of namespaces in a manner that balances utility, usability, extensibility and versionability.

Interface infrastructure for creating and interacting with web services

Data is relocated among data storage nodes in a data center by using distributed agents. An agent at a first data storage node manages the relocation of associated data to a second data storage node, as well as the relocation of a mirror copy of the data at a third data storage node to a fourth data storage node, by receiving status information, such as via a publish-subscribe technique. The first agent may provide an identifier with a relocation request to the third data storage node which is relayed to the fourth data storage node, and used in status messages provided by the third and fourth data storage nodes. The received status information is then associated with the relocation request. Agents for each pair of sending and receiving data storage nodes can monitor their availability for servicing the relocation to negotiate an acceptable transmission rate.

Software agent-based architecture for data relocation

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San Mateo, CA, United States of America

Anastasios Kasiolas