Microsoft Technology Licensing, LLC

Marcus Swenson

Aaron William Ogus

Andrew James Edwards

Maneesh Sah

Arild Einar Skjolsvold

Rushi Srinivas Surla

Xinhua Ji

Apurva F Dalia

Madhav Himanshubhai Pandya

Christopher J Saam

Venugopala Rao Moram

Christopher Gariepy

Lizhong Huang

Girish Saini

Dengyao Mo

Layla M Driscoll

Adam Paul Hoffman

Nikhil Bahubali

Dengkui Xi

Liang Xie

Sumadhur Reddy Bolli

Fnu Arunachaleshwar

Ping-Yao Tseng

Ameya Bhagat

Abhishek Singh Baghel

Techniques for implementing zone redundant computing services in distributed computing systems are described herein. In one embodiment, a computing device is configured to query a database in a first availability zone for a list of computing services corresponding to a user account and provided by servers in a second availability zone different than the first availability zone. The computing device can then selects one or more computing services provided by the servers in the second availability zone from the queried list of computing services and transmit an instruction to the servers in the second availability zone for performing the requested data operation.

Zone redundant computing services using multiple local services in distributed computing systems

A traffic manager for a distributed data storage system includes an iterative spike identifier to identify N levels of traffic spikes in traffic data on an account basis in a distributed data storage system, where N is greater than zero. A traffic cycle identifier selectively identifies cyclic traffic spikes in at least one of the N levels of traffic spikes for each of a plurality of accounts using autocorrelation and peak detection. A partition manager communicates with the traffic cycle identifier and selectively partitions one of the plurality of accounts based on based on the autocorrelation and the peak detection.

Volatile account identification and isolation and resource management in distributed data storage systems

The reliable writing of data to multiple data stores using a write agent. The overall write operation is managed by a write manager that is communicatively coupled to the write agent and to a certain data store. Upon determined that multiple data stores are to be written to, the write manager first instructs the write agent to perform a delay write to other data store(s). The delay write means that the write agents waits a delay time before performing the write unless instructed in the meantime to more immediately perform the write, and if a delay passes, does not perform the write without first checking that the write has been made to the certain data store. After instructing the write agent to delay write, the write manager attempts to write to the certain data store. Upon successfully writing to the certain data store, the write manager may instruct the write agent to proceed immediately.

Write agent delayed write to data stores

The definition of campaign tactics as associating customized content to associated audiences in a relational database. These associations may be cached in a content association mapping that may be read from without accessing the database. The content association mappings may cached in one or more front end servers, and may be updated periodically by navigating the relational database. For a given tactic, the system determines whether a user is a member of the associated audience, identifies the content to be delivered by referring to the content association mapping, and then delivers the content to the user.

Selecting and delivering personalized content

The formulation of a profile group of users by defining segments using a function as applied to a single attribute, and combining them with set operations. The segments may be populated by applying the selected function against the selected attribute against multiple users. Then, the profile groups build upon the segments and are populated by applying the selected operations against the selected combination of segments. This represents an efficient mechanism for formulating profile groups based on user attributes.

Segmentation and profiling of users

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Duvall, WA, United States of America

Marcus Swenson