Stringer: Balancing Latency and Resource Usage in Service Function Chain Provisioning

TL;DR

Stringer is a comprehensive approach for service function chain provisioning in NFV environments, balancing latency and resource usage through heuristics, optimization, and latency estimation models.

Contribution

It introduces a novel combination of heuristic, optimization, and queueing models to generate diverse SFC provisioning solutions with different tradeoffs.

Findings

Provides a scalable heuristic for SFC provisioning

Uses MIP for optimal solution generation

Employs queueing models to estimate latency

Abstract

Network Functions Virtualization, or NFV, enables telecommunications infrastructure providers to replace special-purpose networking equipment with commodity servers running virtualized network functions (VNFs). A service provider utilizing NFV technology faces the SFC provisioning problem of assigning VNF instances to nodes in the physical infrastructure (e.g., a datacenter), and routing Service Function Chains (sequences of functions required by customers, a.k.a. SFCs) in the physical network. In doing so, the provider must balance between various competing goals of performance and resource usage. We present an approach for SFC provisioning, consisting of three elements. The first element is a fast, scalable round-robin heuristic. The second element is a Mixed Integer Programming (MIP) based approach. The third element is a queueing-theoretic model to estimate the average latency associated with any SFC provisioning solution. Combined, these elements create an approach that generates a set of SFC provisioning solutions, reflecting different tradeoffs between resource usage and performance.