TY - GEN
T1 - Distributed service function failover mechanism in service function chaining
AU - Suh, Dongeun
AU - Baek, Hosung
AU - Jang, Seokwon
AU - Han, Sol
AU - Pack, Sangheon
N1 - Publisher Copyright:
© 2017 IEEE.
Copyright:
Copyright 2017 Elsevier B.V., All rights reserved.
PY - 2017/4/13
Y1 - 2017/4/13
N2 - In service function chaining (SFC), end-To-end traffic flows are classified and processed by an ordered set of service functions (SFs). When SF in the chain fails, the corresponding traffic flows cannot be processed further to reach the destination until the failed SF recovers. To cope with the SF failure, failover mechanisms to instantly recover such failed SFs are mandatory. In this paper, we propose a distributed SF failover mechanism where a distributed failover agent (DFA) located along with each SF instance conducts failure detection/recovery of the failed SF. By doing so, the failed SFs can be recovered without interventions of the centralized SFC controller. Simulation results are shown that the distributed SF failover mechanism significantly reduces the average failover time by 56-76% compared to the centralized SF failover mechanism.
AB - In service function chaining (SFC), end-To-end traffic flows are classified and processed by an ordered set of service functions (SFs). When SF in the chain fails, the corresponding traffic flows cannot be processed further to reach the destination until the failed SF recovers. To cope with the SF failure, failover mechanisms to instantly recover such failed SFs are mandatory. In this paper, we propose a distributed SF failover mechanism where a distributed failover agent (DFA) located along with each SF instance conducts failure detection/recovery of the failed SF. By doing so, the failed SFs can be recovered without interventions of the centralized SFC controller. Simulation results are shown that the distributed SF failover mechanism significantly reduces the average failover time by 56-76% compared to the centralized SF failover mechanism.
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U2 - 10.1109/ICOIN.2017.7899494
DO - 10.1109/ICOIN.2017.7899494
M3 - Conference contribution
AN - SCOPUS:85018302029
T3 - International Conference on Information Networking
SP - 148
EP - 150
BT - 31st International Conference on Information Networking, ICOIN 2017
PB - IEEE Computer Society
T2 - 31st International Conference on Information Networking, ICOIN 2017
Y2 - 11 January 2017 through 13 January 2017
ER -