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- Publisher Website: 10.1145/3106989.3106990
- Scopus: eid_2-s2.0-85054195274
- WOS: WOS:000614068500013
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Conference Paper: GPUNFV: a GPU-Accelerated NFV System
Title | GPUNFV: a GPU-Accelerated NFV System |
---|---|
Authors | |
Keywords | Service chain NFV Micro service GPU |
Issue Date | 2017 |
Publisher | Association for Computing Machinery. |
Citation | The 1st Asia-Pacific Workshop on Networking (APNet’17), Hong Kong, 3-4 August 2017 How to Cite? |
Abstract | This paper presents GPUNFV, a high-performance NFV system
providing flow-level micro services for stateful service
chains with Graphics Processing Unit (GPU) acceleration.
GPUNFV exploits the massively-parallel processing power
ofGPU tomaximize the throughput of theNFV system. Combined
with the customized flow handler, GPUNFV achieves
a much better throughput than the existing NFV systems.
With a carefully designed GPU-based virtualized network
function framework, GPUNFV is able to e ciently support
both stateful and stateless network functions. We have implemented
a number of GPU-based network functions and a
preliminary GPUNFV system to demonstrate the flexibility
and potential of our design. |
Persistent Identifier | http://hdl.handle.net/10722/243236 |
ISBN | |
ISI Accession Number ID |
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Yi, X | - |
dc.contributor.author | Duan, J | - |
dc.contributor.author | Wu, C | - |
dc.date.accessioned | 2017-08-25T02:52:02Z | - |
dc.date.available | 2017-08-25T02:52:02Z | - |
dc.date.issued | 2017 | - |
dc.identifier.citation | The 1st Asia-Pacific Workshop on Networking (APNet’17), Hong Kong, 3-4 August 2017 | - |
dc.identifier.isbn | 978-1-4503-5244-4 | - |
dc.identifier.uri | http://hdl.handle.net/10722/243236 | - |
dc.description.abstract | This paper presents GPUNFV, a high-performance NFV system providing flow-level micro services for stateful service chains with Graphics Processing Unit (GPU) acceleration. GPUNFV exploits the massively-parallel processing power ofGPU tomaximize the throughput of theNFV system. Combined with the customized flow handler, GPUNFV achieves a much better throughput than the existing NFV systems. With a carefully designed GPU-based virtualized network function framework, GPUNFV is able to e ciently support both stateful and stateless network functions. We have implemented a number of GPU-based network functions and a preliminary GPUNFV system to demonstrate the flexibility and potential of our design. | - |
dc.language | eng | - |
dc.publisher | Association for Computing Machinery. | - |
dc.relation.ispartof | Proceedings of APNet’17 | - |
dc.rights | Proceedings of APNet’17. Copyright © Association for Computing Machinery. | - |
dc.rights | ©ACM, YYYY. This is the author's version of the work. It is posted here by permission of ACM for your personal use. Not for redistribution. The definitive version was published in PUBLICATION, {VOL#, ISS#, (DATE)} http://doi.acm.org/10.1145/nnnnnn.nnnnnn | - |
dc.subject | Service chain | - |
dc.subject | NFV | - |
dc.subject | Micro service | - |
dc.subject | GPU | - |
dc.title | GPUNFV: a GPU-Accelerated NFV System | - |
dc.type | Conference_Paper | - |
dc.identifier.email | Wu, C: cwu@cs.hku.hk | - |
dc.identifier.authority | Wu, C=rp01397 | - |
dc.description.nature | published_or_final_version | - |
dc.identifier.doi | 10.1145/3106989.3106990 | - |
dc.identifier.scopus | eid_2-s2.0-85054195274 | - |
dc.identifier.hkuros | 275480 | - |
dc.identifier.isi | WOS:000614068500013 | - |