{"id":171302,"date":"2014-02-19T03:07:37","date_gmt":"2014-02-19T03:07:37","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/research\/project\/rack-scale-computing\/"},"modified":"2017-06-14T09:04:32","modified_gmt":"2017-06-14T16:04:32","slug":"rack-scale-computing","status":"publish","type":"msr-project","link":"https:\/\/www.microsoft.com\/en-us\/research\/project\/rack-scale-computing\/","title":{"rendered":"Rack-scale Computing"},"content":{"rendered":"

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New hardware technology such as systems- and networks-on-chip (SOCs and NOCs), switchless network fabrics, silicon photonics, and RDMA, are redefining the landscape of data center computing, enabling interconnecting thousands of cores at high speed at the scale of today’s racks. We refer to this new class of hardware as rack-scale computers<\/em> (RSCs) because the rack is increasingly replacing the individual server as the basic building block of modern data centers. Early examples of RSCs have already appeared on the market from manufactures such as AMD SeaMicro<\/a>, HP<\/a>, and Intel<\/a> and similar solutions are being deployed at large-scale companies such as Facebook <\/a>and Microsoft<\/a>.<\/p>\n

These new hardware trends challenge traditional assumptions and\u00a0force us to rethink existing software architectures. The goal of the Rack-scale Computing project is to perform a\u00a0cross-layer redesign of the way the hardware, OS, storage and network stacks, and applications are built and interact in that new context.\u00a0The key insight is that by co-designing\u00a0different layers of the stack,\u00a0it is possible to achieve both better performance and higher efficiency.<\/p>\n

These new hardware trends challenge traditional assumptions and\u00a0force us to rethink existing software architectures. The goal of the Rack-scale Computing project is to perform a\u00a0cross-layer redesign of the way the hardware, OS, storage and network stacks, and applications are built and interact in that new context.\u00a0The key insight is that by co-designing\u00a0different layers of the stack,\u00a0it is possible to achieve both better performance and higher efficiency.<\/p>\n

In our early\u00a0CamCube<\/a> work, we explored the opportunities provided by distributed switching fabrics and the benefits of tightly integrating applications and networks.\u00a0 Our on-going efforts are focused on supporting efficient access to rack-scale resources. In the Pelican<\/a> project we are\u00a0designing\u00a0a cost-effective storage appliance for cold data. The R2C2<\/a> project\u00a0aims at designing a\u00a0clean-slate network stack, purposely optimized for rack-scale computers. Finally, in the Flamingo project, we are working on solutions to automate the design of rack-scale computers.<\/p>\n\t\t\t

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