NFV Compute Acceleration Evaluation and APIs
draft-perumal-nfvrg-nfv-compute-acceleration-00
| Document | Type |
Expired Internet-Draft
(individual)
Expired & archived
|
|
|---|---|---|---|
| Authors | Bose Perumal , Wenjing Chu , Ramki Krishnan | ||
| Last updated | 2015-12-31 (Latest revision 2015-06-29) | ||
| RFC stream | (None) | ||
| Intended RFC status | (None) | ||
| Formats | |||
| Stream | Stream state | (No stream defined) | |
| Consensus boilerplate | Unknown | ||
| RFC Editor Note | (None) | ||
| IESG | IESG state | Expired | |
| Telechat date | (None) | ||
| Responsible AD | (None) | ||
| Send notices to | (None) |
This Internet-Draft is no longer active. A copy of the expired Internet-Draft is available in these formats:
Abstract
Network functions are being virtualized and moved to industry standard servers. Steady growth of traffic volume requires more compute power to process the network functions. Network packet based architecture provides a lot of scope for parallel processing. Generic parallel processing can be done in common multicore platforms like GPUs, coprocessors like Intel Xeon Phi[6][7] and Intel[7]/AMD[10] multicore CPUs. In this draft to check the feasibility and to exploit this parallel processing capability, multi string matching is taken as the sample network function for URL filtering. Aho-Corasick algorithm has been made use for multi pattern matching. Implementation utilizes OpenCL [3] to support many common platforms[7][10][11]. A list of optimizations is done, the application is tested on Nvidia Tesla K10 GPUs. A common API for NFV Compute Acceleration has been proposed.
Authors
Bose Perumal
Wenjing Chu
Ramki Krishnan
(Note: The e-mail addresses provided for the authors of this Internet-Draft may no longer be valid.)