Optimized Deployment of Network Function for Resource Pooling Switch

TL;DR

This paper proposes a Resource Pooling Switch Architecture (RPSA) and a heuristic algorithm (MFMTP) to optimize network function deployment, improving throughput and convergence in flexible, scalable network environments.

Contribution

It introduces RPSA for flexible function placement and a novel MFMTP heuristic algorithm for optimized deployment, addressing limitations of traditional switches and middleboxes.

Findings

The MFMTP algorithm improves throughput.

It achieves better convergence performance.

The architecture enhances resource utilization.

Abstract

The disadvantages of the combination of traditional switches and middleboxes have being exposed under the condition of increasingly various network function demands,such as function flexibility, performance scalability and resource utilization. To solve this problem, we design Resource Pooling Switch Architecture (RPSA), which separates some non-essential functions from line card and allocate them in Network Function Pool (NFP) to provide flexible services for data plane in the form of Service Function Chains (SFC). As the performance of the whole system could be decided by whether function deployment is reasonable or not, we purpose heuristic algorithm called Modified Fiduccia-Mattheyses based Two Phase Algorithm (MFMTP) to optimize the deployment of functions. The simulation results show that this algorithm performs well in throughput and convergence.