TY - GEN
T1 - Dynamic Fault Management in Service Function Chaining
AU - Song, Shih Ying
AU - Lin, Fuchun
N1 - Publisher Copyright:
© 2020 IEEE.
Copyright:
Copyright 2020 Elsevier B.V., All rights reserved.
PY - 2020/7
Y1 - 2020/7
N2 - Service Function Chaining (SFC) is an important mechanism in Software-Defined Network/Network Function Virtualization (SDN/NFV) to allow the network traffic to be forwarded through a pre-defined ordered set of Virtual Network Functions (VNFs). Nevertheless, such a chain may be broken with the failure of a VNF. In this research, we propose a novel fault management system that can rapidly and dynamically recover an SFC from a failed VNF. In our proposed system, no backup VNF or backup Service Function Path needs to be established in advance. Our system will monitor all the VNFs used by SFC and when there is a VNF out of service, it will dynamically create a new VNF with the same functionality as that of the failed one and replace it. Unlike existing solutions of fault-recovery using virtual machines, our system employs container technologies to speed up the instantiation and replacement of VNFs. When compared to the existing method, our proposed solution is capable of achieving much faster recovery time with acceptable cost of resource consumption.
AB - Service Function Chaining (SFC) is an important mechanism in Software-Defined Network/Network Function Virtualization (SDN/NFV) to allow the network traffic to be forwarded through a pre-defined ordered set of Virtual Network Functions (VNFs). Nevertheless, such a chain may be broken with the failure of a VNF. In this research, we propose a novel fault management system that can rapidly and dynamically recover an SFC from a failed VNF. In our proposed system, no backup VNF or backup Service Function Path needs to be established in advance. Our system will monitor all the VNFs used by SFC and when there is a VNF out of service, it will dynamically create a new VNF with the same functionality as that of the failed one and replace it. Unlike existing solutions of fault-recovery using virtual machines, our system employs container technologies to speed up the instantiation and replacement of VNFs. When compared to the existing method, our proposed solution is capable of achieving much faster recovery time with acceptable cost of resource consumption.
UR - http://www.scopus.com/inward/record.url?scp=85094127703&partnerID=8YFLogxK
U2 - 10.1109/COMPSAC48688.2020.00-46
DO - 10.1109/COMPSAC48688.2020.00-46
M3 - Conference contribution
AN - SCOPUS:85094127703
T3 - Proceedings - 2020 IEEE 44th Annual Computers, Software, and Applications Conference, COMPSAC 2020
SP - 1477
EP - 1482
BT - Proceedings - 2020 IEEE 44th Annual Computers, Software, and Applications Conference, COMPSAC 2020
A2 - Chan, W. K.
A2 - Claycomb, Bill
A2 - Takakura, Hiroki
A2 - Yang, Ji-Jiang
A2 - Teranishi, Yuuichi
A2 - Towey, Dave
A2 - Segura, Sergio
A2 - Shahriar, Hossain
A2 - Reisman, Sorel
A2 - Ahamed, Sheikh Iqbal
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 44th IEEE Annual Computers, Software, and Applications Conference, COMPSAC 2020
Y2 - 13 July 2020 through 17 July 2020
ER -