{"id":656973,"date":"2020-06-06T02:04:38","date_gmt":"2020-06-06T09:04:38","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/research\/?post_type=msr-research-item&#038;p=656973"},"modified":"2020-06-06T02:05:06","modified_gmt":"2020-06-06T09:05:06","slug":"multitenancy-for-fast-and-programmable-networks-in-the-cloud","status":"publish","type":"msr-research-item","link":"https:\/\/www.microsoft.com\/en-us\/research\/publication\/multitenancy-for-fast-and-programmable-networks-in-the-cloud\/","title":{"rendered":"Multitenancy for fast and programmable networks in the cloud"},"content":{"rendered":"<div class=\"abstract well\" data-ex-content=\".abstract\">Fast and programmable network devices are now readily available, both in the form of programmable switches and smart network-interface cards. Going forward, we envision that these devices will be widely deployed in the networks of cloud providers (e.g., AWS, Azure, and GCP) and exposed as a programmable surface for cloud customers&#8212;\u0080\u0094similar to how cloud customers can today rent CPUs, GPUs, FPGAs, and ML accelerators. Making this vision a reality requires us to develop a mechanism to share the resources of a programmable network device across multiple cloud tenants. In other words, we need to provide multitenancy on these devices. In this position paper, we design compile and run-time approaches to multitenancy. We present preliminary results showing that our design provides both efficient utilization of the resources of a programmable network device and isolation of tenant programs from each other.<\/div>\n","protected":false},"excerpt":{"rendered":"<p>Fast and programmable network devices are now readily available, both in the form of programmable switches and smart network-interface cards. Going forward, we envision that these devices will be widely deployed in the networks of cloud providers (e.g., AWS, Azure, and GCP) and exposed as a programmable surface for cloud customers&#8212;\u0080\u0094similar to how cloud customers 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