Management

Jellyfish: Networking Data Centers Randomly

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Industry experience indicates that the ability to incre- mentally expand data centers is essential. However, ex- isting high-bandwidth network designs have rigid struc- ture that interferes with incremental expansion. We present Jellyfish, a high-capacity network interconnect which, by adopting a random graph topology, yields it- self naturally to incremental expansion. Somewhat sur- prisingly, Jellyfish is more cost-efficient than a fat-tree, supporting as many as 25% more servers at full capacity using the same equipment at the scale of a few thousand nodes, and this advantage improves with scale. Jellyfish also allows great flexibility in building networks with different degrees of oversubscription. However, Jelly- fish’s unstructured design brings new challenges in rout- ing, physical layout, and wiring. We describe approaches to resolve these challenges, and our evaluation suggests that Jellyfish could be deployed in today’s data centers.

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Publisher

: ., 2009

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1-14

Language

English

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NONE

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Jellyfish: Networking Data Centers Randomly

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