Microsoft Technology Licensing, LLC

Ariane Belle Tsai

Serguei Martchenko

Yuva Priya Arunkumar

Aigerim Shintemirova

Varadarajan Thiruvillamalai

Annalilia Horstmann Cavazos

Suyang Jiang

Andrew Kovalenko

Kidus Yohanes Sendeke

Nicole Isis Cranon

Techniques of data flow control are disclosed herein. One example technique includes upon receiving a notification indicating a change to a content item in a source shard, parsing the content item to extract data representing attributes of the content item and identifying a partition of the system-wide index based on the extracted data representing the attributes of the content item. The example technique can also include transmitting, to a token issuer, a request for a token that represents a permission to write to the identified partition of the system-wide index and upon receiving a token issued by the token issuer in response to the transmitted request, transmitting the extracted data representing the attributes of the content item along with the received token to write the extracted data in the partition of the system-wide index.

Data flow control in distributed computing systems

Datacenters or other large-scale distributed computing systems can provide computing resources such as processing power and data storage as computing services accessible to tenants via a computer network. A tenant, such as a corporation, school, or organization, can have multiple users or groups of users with corresponding websites. To facilitate ready access, data relevant to a user, group, or website of a tenant can be stored in a dedicated network location sometimes referred to as a shard. A shard can be a physical and/or logical storage location that contains emails, chats, instant messages, documents, photos, videos, or other types of content items with which the user, group, or website can interact.

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Ariane Belle Tsai