Abstract
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.
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Acknowledgment
This research was supported in part by PRCP (NRF-2010-0020210) through NRF, G-ITRC support program (IITP-2017-2015-0-00742), Information & communications Technology Promotion(IITP) grant funded by the Korea government(MSIT) (2014-3-00547), respectively.
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Lee, J., Raza, S.M., Challa, R., Jeong, J., Choo, H. (2019). Design and Experimental Validation of SFC Monitoring Approach with Minimal Agent Deployment. In: Lee, S., Ismail, R., Choo, H. (eds) Proceedings of the 13th International Conference on Ubiquitous Information Management and Communication (IMCOM) 2019. IMCOM 2019. Advances in Intelligent Systems and Computing, vol 935. Springer, Cham. https://doi.org/10.1007/978-3-030-19063-7_14
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