Google Inc.

Chris Jorgen Taylor

Andrew Fikes

Sanjay Ghemawat

Alexander Lloyd

Wilson Cheng-Yi Hsieh

Sebastian Kanthak

Jeffrey Adgate Dean

Yasushi Saito

Michael James Boyer Epstein

Michal Piotr Szymaniak

Christopher Cunningham Frost

Yaz Saito

A system, computer-readable storage medium storing at least one program, and a computer-implemented method for committing transactions on remote servers is presented. Commit requests are issued to remote servers in a set of remote servers to request that the remote servers in the set of remote servers agree to commit a transaction at a first designated future time. When responses from the remote servers in the set of remote servers are received before a first abort time and indicate that all remote servers in the set of remote servers have agreed to commit the transaction at the first designated future time, commit commands are issued to the remote servers in the set of remote servers instructing the remote servers to perform the transaction at the first designated future time.

System and method for committing transactions on remote servers

In accordance with some implementations, a method of collecting statistics about processor usage is disclosed. The method is performed on a data storage server having one or more processors and memory storing one or more programs for execution by the one or more processors. The server system executes one or more processes, wherein each of the one or more first processes is associated with an entity from a group of one or more entities. The server system then receives an interrupt signal at a first predetermined interval. In response to receiving the interrupt signal and for each processor of the one or more processors, the server system interrupts the process currently being executed on the processor. The server system increments the counter associated with the interrupted process. The server system then resumes the interrupted process.

Collecting processor usage statistics

A system, computer-readable storage medium storing at least one program, and a computer-implemented method for performing operations on target servers is presented. A request including an operation is received. A set of target servers associated with the operation is identified. The following request processing operations are performed until a predetermined termination condition has been satisfied: a target server in the set of target servers to which the request has not been issued and whose health metrics satisfy health criteria is identified, the request to perform the operation is issued to the target server, and when the request to perform the operation fails at the target server, health metrics for the target server are updated to indicate that the request to perform the operation failed at the target server and health check operation is scheduled to be performed with respect to the target server.

System and method for performing operations on target servers

A distributed storage system is provided. The distributed storage system includes multiple front-end servers and zones for managing data for clients. Data within the distributed storage system is associated with a plurality of accounts and divided into a plurality of groups, each group including a plurality of splits, each split being associated with a respective account, and each group having multiple tablets and each tablet managed by a respective tablet server of the distributed storage system. Data associated with different accounts may be replicated within the distributed storage system using different data replication policies. There is no limit to the amount of data for an account by adding new splits to the distributed storage system. In response to a client request for a particular account's data, a front-end server communicates such request to a particular zone that has the client-requested data and returns the client-requested data to the requesting client.

Organizing data in a distributed storage system

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Palo Alto, CA, United States of America

Chris Jorgen Taylor