Parallelism-Aware Service Function Chain Placement for Delay-sensitive IoT Applications with VNF Reuse in Mobile Edge Computing
Haiyan Wang, Pei Chen · 2024
With the rise of Network Function Virtualization technology, Service Function Chain (SFC), composed of Virtual Network Functions (VNFs), has become a mainstream service form for IoT applications in Mobile Edge Computing network. However, the delay-sensitive and resource-intensive nature of IoT applications poses great challenges for SFC placement. Besides, energy consumption has to be taken into consideration in the designing of strategy. To address these challenges above, we integrate Network Function Parallelism (NFP) and VNF Reuse into MEC network. Specifically, we formulate the Parallelism-aware Optimization for Delay-sensitive SFC Placement with VNF Reuse (PODPR) and design a heuristic NFP and VNF Reuse-based SFC Placement Solution (PRPS). The proposed PRPS incorporates candidate transmission paths into a routing tree structure and utilizes a Parallelism and Reuse-aware Greedy Placement Algorithm to search for a placement strategy with the lowest energy consumption. Simulation results demonstrate that PRPS outperforms baselines in terms of energy consumption and service delay.