TY - GEN
T1 - Design and experimental validation of sfc monitoring approach with minimal agent deployment
AU - Lee, Jisoo
AU - Raza, Syed M.
AU - Challa, Rajesh
AU - Jeong, Jaeyeop
AU - Choo, Hyunseung
N1 - Publisher Copyright:
© Springer Nature Switzerland AG 2019.
PY - 2019
Y1 - 2019
N2 - Service Function Chaining (SFC) is a new flexible network service deployment model to efficiently address the overwhelming increase in demand for new services. SFC consists of dynamically provisioned softwarized service functions (SFs), which are logically chained together to deliver a particular service. Software Defined Networking (SDN) simplifies the control and management of SFCs by centralizing the control plane, as it manages the SF links and controls the service flow traffic. Various critical functions like load balancing, fault management, and congestion avoidance in SFC are dependent on effective monitoring system. However, conventional monitoring approaches have high signaling cost due to the deployment of Monitoring Agents (MAs) in all SFs. In this paper, we present an SFC monitoring approach that reduces the signaling cost by deploying MAs in minimum number of SFs. We propose an SF selection algorithm that identifies the faulty SF using an optimized set of SFs to deploy the MAs. We conduct the testbed experiments to evaluate the effectiveness of our approach. The results show that our approach reduces the signaling cost by 59.2% compared with the conventional one. We further present the effect of various thresholds and data rates on the proposed SFC monitoring approach.
AB - Service Function Chaining (SFC) is a new flexible network service deployment model to efficiently address the overwhelming increase in demand for new services. SFC consists of dynamically provisioned softwarized service functions (SFs), which are logically chained together to deliver a particular service. Software Defined Networking (SDN) simplifies the control and management of SFCs by centralizing the control plane, as it manages the SF links and controls the service flow traffic. Various critical functions like load balancing, fault management, and congestion avoidance in SFC are dependent on effective monitoring system. However, conventional monitoring approaches have high signaling cost due to the deployment of Monitoring Agents (MAs) in all SFs. In this paper, we present an SFC monitoring approach that reduces the signaling cost by deploying MAs in minimum number of SFs. We propose an SF selection algorithm that identifies the faulty SF using an optimized set of SFs to deploy the MAs. We conduct the testbed experiments to evaluate the effectiveness of our approach. The results show that our approach reduces the signaling cost by 59.2% compared with the conventional one. We further present the effect of various thresholds and data rates on the proposed SFC monitoring approach.
KW - Agent-based monitoring
KW - Service function chaining (sfc)
KW - SFC monitoring
KW - Software defined networking (sdn)
UR - https://www.scopus.com/pages/publications/85066816004
U2 - 10.1007/978-3-030-19063-7_14
DO - 10.1007/978-3-030-19063-7_14
M3 - Conference contribution
AN - SCOPUS:85066816004
SN - 9783030190620
T3 - Advances in Intelligent Systems and Computing
SP - 153
EP - 167
BT - Proceedings of the 13th International Conference on Ubiquitous Information Management and Communication, IMCOM 2019
A2 - Lee, Sukhan
A2 - Choo, Hyunseung
A2 - Ismail, Roslan
PB - Springer Verlag
T2 - 13th International Conference on Ubiquitous Information Management and Communication, IMCOM 2019
Y2 - 4 January 2019 through 6 January 2019
ER -