NP-Completeness and Inapproximability of the Virtual Network Embedding Problem and Its Variants
Matthias Rost, Stefan Schmid

TL;DR
This paper systematically analyzes the computational complexity of the Virtual Network Embedding Problem (VNEP) and its variants, establishing NP-completeness and inapproximability results across diverse models and constraints.
Contribution
It provides the first comprehensive complexity landscape of VNEP variants using a unifying proof framework, including hardness results even for restricted graph classes.
Findings
VNEP is NP-complete in general
Finding approximate embeddings is NP-hard
Results hold for planar and degree-bounded graphs
Abstract
Many resource allocation problems in the cloud can be described as a basic Virtual Network Embedding Problem (VNEP): the problem of finding a mapping of a request graph (describing a workload) onto a substrate graph (describing the physical infrastructure). Applications range from mapping testbeds (from where the problem originated), over the embedding of batch-processing workloads (virtual clusters) to the embedding of service function chains. The different applications come with their own specific requirements and constraints, including node mapping constraints, routing policies, and latency constraints. While the VNEP has been studied intensively over the last years, complexity results are only known for specific models and we lack a comprehensive understanding of its hardness. This paper charts the complexity landscape of the VNEP by providing a systematic analysis of the hardness…
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Taxonomy
TopicsSoftware-Defined Networks and 5G · Caching and Content Delivery · Network Security and Intrusion Detection
