TY - GEN
T1 - SDN based Network Function Parallelism in Cloud
AU - Chowdhary, Ankur
AU - Huang, Dijiang
N1 - Funding Information:
This research is based upon work supported by the NRL N00173-15-G017, NSF Grants 1642031, 1528099, and 1723440, and NSFC Grants 61628201 and 61571375.
Funding Information:
ACKNOWLEDGMENT This research is based upon work supported by the NRL N00173-15-G017, NSF Grants 1642031, 1528099, and 1723440, and NSFC Grants 61628201 and 61571375.
Publisher Copyright:
© 2019 IEEE.
PY - 2019/4/8
Y1 - 2019/4/8
N2 - Network function virtualization (NFV) based service function chaining (SFC) allows the provisioning of various security and traffic engineering applications in a cloud network. Inefficient deployment of network functions can lead to security violations and performance overhead. In an OpenFlow enabled cloud, the key problem with current mechanisms is that several packet field match and flow rule action sets associated with the network functions are non-overlapping and can be parallelized for performance enhancement. We introduce Network Function Parallelism (NFP) SFC-NFP for OpenFlow network. Our solution utilizes network function parallelism over the OpenFlow rules to improve SFC performance in the cloud network. We have utilized the DPDK platform with an OpenFlow switch (OVS) for experimental analysis. Our solution achieves a 1.40-1.90x reduction in latency for SFC in an OpenStack cloud network managed by the SDN framework.
AB - Network function virtualization (NFV) based service function chaining (SFC) allows the provisioning of various security and traffic engineering applications in a cloud network. Inefficient deployment of network functions can lead to security violations and performance overhead. In an OpenFlow enabled cloud, the key problem with current mechanisms is that several packet field match and flow rule action sets associated with the network functions are non-overlapping and can be parallelized for performance enhancement. We introduce Network Function Parallelism (NFP) SFC-NFP for OpenFlow network. Our solution utilizes network function parallelism over the OpenFlow rules to improve SFC performance in the cloud network. We have utilized the DPDK platform with an OpenFlow switch (OVS) for experimental analysis. Our solution achieves a 1.40-1.90x reduction in latency for SFC in an OpenStack cloud network managed by the SDN framework.
KW - Network Function Parallelization (NFP)
KW - OpenFlow
KW - Queuing Model
KW - Service Function Chaining (SFC)
KW - Software Defined Network (SDN)
UR - http://www.scopus.com/inward/record.url?scp=85064979774&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85064979774&partnerID=8YFLogxK
U2 - 10.1109/ICCNC.2019.8685508
DO - 10.1109/ICCNC.2019.8685508
M3 - Conference contribution
AN - SCOPUS:85064979774
T3 - 2019 International Conference on Computing, Networking and Communications, ICNC 2019
SP - 486
EP - 490
BT - 2019 International Conference on Computing, Networking and Communications, ICNC 2019
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2019 International Conference on Computing, Networking and Communications, ICNC 2019
Y2 - 18 February 2019 through 21 February 2019
ER -