# Large-scale cluster management at Google with Borg

<https://static.googleusercontent.com/media/research.google.com/en//pubs/archive/43438.pdf>

- Host: [static.googleusercontent.com](https://links.thingelstad.xyz/hosts/static.googleusercontent.com/)
- Saved: July 27, 2015 (2015-07-27T10:17:58Z)
- Record: https://links.thingelstad.xyz/links/c117784ecfeb/
- JSON: https://links.thingelstad.xyz/links/c117784ecfeb.json

## From the page (probably an excerpt, not Jamie's words)

Google’s Borg system is a cluster manager that runs hundreds of thousands of jobs, from many thousands of different applications, across a number of clusters each with up to tens of thousands of machines.

It achieves high utilization by combining admission control, efficient task-packing, over-commitment, and machine sharing with process-level performance isolation. It supports high-availability applications with runtime features that minimize fault-recovery time, and scheduling policies that reduce the probability of correlated failures. Borg simplifies life for its users by offering a declarative job specification language, name service integration, real-time job monito ing, and tools to analyze and simulate system behavior.

We present a summary of the Borg system architecture and features, important design decisions, a quantitative anal- ysis of some of its policy decisions, and a qualitative examination of lessons learned from a decade of operational experience with it.

## Facts

- Kind: [Paper](https://links.thingelstad.xyz/kinds/paper/)

## Same host

- [Spanner: Googles Globally-Distributed Database](https://links.thingelstad.xyz/links/e816cb745e21/) (static.googleusercontent.com, September 17, 2012)

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## Elsewhere

- Wayback Machine: https://web.archive.org/web/*/https://static.googleusercontent.com/media/research.google.com/en//pubs/archive/43438.pdf