Multitenancy for fast and programmable networks in the cloud

Tao Wang, Hang Zhu, Fabian Ruffy, Xin Jin, Anirudh Sivaraman, Dan R.K. Ports, Aurojit Panda

Research output: Contribution to conferencePaperpeer-review

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-similar 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 resource utilization and isolation of tenant programs from each other.

Original languageEnglish (US)
StatePublished - 2020
Event12th USENIX Workshop on Hot Topics in Cloud Computing, HotCloud 2020, co-located with USENIX ATC 2020 - Virtual, Online
Duration: Jul 13 2020Jul 14 2020

Conference

Conference12th USENIX Workshop on Hot Topics in Cloud Computing, HotCloud 2020, co-located with USENIX ATC 2020
CityVirtual, Online
Period7/13/207/14/20

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Software

Fingerprint Dive into the research topics of 'Multitenancy for fast and programmable networks in the cloud'. Together they form a unique fingerprint.

Cite this