OpenANFV: Accelerating network function virtualization with a consolidated framework in openstack

Xiongzi Ge, Yi Liu, David H Du, Liang Zhang, Hongguang Guan, Jian Chen, Yuping Zhao, Xinyu Hu

Research output: Chapter in Book/Report/Conference proceedingConference contribution

34 Scopus citations

Abstract

Specified appliances or middleboxes (MBs) have been explosively used to satisfy a various set of functions in operational modern networks, such as enhancing security (e.g. firewalls), improving performance (e.g. WAN optimized accelerators), providing QoS (e.g. Deep Packet Inspection (DPI)), and meeting the requisite others [3]. Network Function Virtualization (NFV) recently has been proposed to optimize the deployment of multiple network functions through shifting the MB processing from customized MBs to softwarecontrolled inexpensive and commonly used hardware platforms (e.g. Intel standard x86 servers) [4]. However, for some functions (e.g. DPI and Network Deduplication (Dedup), Network Address Translation (NAT)), the commodity shared hardware substrate remain limited performance. For a standard software based Dedup MB (Intel E5645, 2.4GHZ, 6 cores, exclusive mode), we can only achieve 267Mbps throughput in each core at most. Therefore, the resources of dedicated accelerators (e.g. FPGA) are still required to bridge the gap between software-based MB and the commodity hardware.

Original languageEnglish (US)
Title of host publicationProceedings of the SIGCOMM Chicago 2014 and the Best of the Co-located Workshops
EditorsKonstantina Papagiannaki
PublisherAssociation for Computing Machinery
Pages353-354
Number of pages2
Volume44
Edition4
ISBN (Electronic)9781450328364
DOIs
StatePublished - Feb 25 2015
EventACM SIGCOMM 2014 Conference - Chicago, United States
Duration: Aug 17 2014Aug 22 2014

Conference

ConferenceACM SIGCOMM 2014 Conference
Country/TerritoryUnited States
CityChicago
Period8/17/148/22/14

Keywords

  • FPGA
  • Middlebox
  • Network function virtualization
  • OpenStack

Fingerprint

Dive into the research topics of 'OpenANFV: Accelerating network function virtualization with a consolidated framework in openstack'. Together they form a unique fingerprint.

Cite this