changing effect which happens during packet processing, (3) employs scenario abstraction to simplify the definition of new (heterogeneous) simulation scenarios and supports standard service metrics like request–response time. With these features, CloudSimSFC can be used to simulate SFC run-time performance and evaluate deployment strategies. We introduce the system architecture of CloudSimSFC to explain the simulation principle. We conduct extensive experiments to evaluate the simulation accuracy of CloudSimSFC by comparing it with an SFC prototype. Experimental results confirm that CloudSimSFC achieves 95%+ accuracy in all the evaluation scenarios. We also evaluate the simulation running time and analyze the overhead caused by the proposed simulation features. Finally, we demonstrate the primary usage of CloudSimSFC with case studies.
CloudSimSFC: Simulating Service Function chains in Multi-Domain Service Networks
Jie Sun,Tianyu Wo,Xudong Liu,Rui Cheng,Xudong Mou,Xiaohui Guo,Haibin Cai,R. Buyya
Published 2022 in Simulation modelling practice and theory
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- Publication year
2022
- Venue
Simulation modelling practice and theory
- Publication date
2022-06-01
- Fields of study
Computer Science
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