Virtual Network Mapping: A Graph Pattern Matching Approach

Conference paper

DOI: 10.1007/978-3-319-20424-6_6

Part of the Lecture Notes in Computer Science book series (LNCS, volume 9147)
Cite this paper as:
Cao Y., Fan W., Ma S. (2015) Virtual Network Mapping: A Graph Pattern Matching Approach. In: Maneth S. (eds) Data Science. BICOD 2015. Lecture Notes in Computer Science, vol 9147. Springer, Cham

Abstract

Virtual network mapping (\(\mathsf {VNM}\)) is to build a network on demand by deploying virtual machines in a substrate network, subject to constraints on capacity, bandwidth and latency. It is critical to data centers for coping with dynamic cloud workloads. This paper shows that \(\mathsf {VNM}\) can be approached by graph pattern matching, a well-studied database topic. (1) We propose to model a virtual network request as a graph pattern carrying various constraints, and treat a substrate network as a graph in which nodes and edges bear attributes specifying their capacity. (2) We show that a variety of mapping requirements can be expressed in this model, such as virtual machine placement, network embedding and priority mapping. (3) In this model, we formulate \(\mathsf {VNM}\) and its optimization problem with a mapping cost function. We establish complexity bounds of these problems for various mapping constraints, ranging from PTIME to NP-complete. For intractable optimization problems, we further show that these problems are approximation-hard, i.e., NPO-complete in general and APX-hard even for special cases.

Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  1. 1.RCBD and SKLSDE LabBeihang UniversityBeihangChina
  2. 2.University of EdinburghEdinburghUK

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