GRASP and ILS Based Meta-Heuristic Approximation Algorithms for Optimal Virtual Network Synthesis (VNS) in Multi-AS Environment

Emerging Internet architecture utilizes a pluralistic architectural paradigm in which multiple virtual overlay service networks are built on top of the existing interconnected Autonomous System (multi-AS) networks across the world to satisfy diverse and ever-demanding service requirements from end u...

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Veröffentlicht in:Computing, Networking and Communications (ICNC), International Conference on S. 473 - 479
Hauptverfasser: Xue, Yong, Brodsky, Alexander, Menasce, Daniel
Format: Tagungsbericht
Sprache:Englisch
Veröffentlicht: IEEE 19.02.2024
Schlagworte:
Approximation algorithms
Autonomous systems
GRASP
greedy heuristic algorithm
Heuristic algorithms
ILS
MD-VNE
Measurement
meta-heuristic algorithm
Metaheuristics
multi-AS Virtual Network Synthesis (VNS)
Network synthesis
optimization approximation
Search problems
ISSN:2473-7585
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Zusammenfassung:Emerging Internet architecture utilizes a pluralistic architectural paradigm in which multiple virtual overlay service networks are built on top of the existing interconnected Autonomous System (multi-AS) networks across the world to satisfy diverse and ever-demanding service requirements from end users as well as emerging network applications. However, optimal provisioning and management of virtual networks in the multi-AS environment is still a challenging and unsolved problem. The problem has been extensively studied within the research community as a so-called multi-domain virtual network embedding (MD-VNE) optimization problem, but the current research results so far have been unsatisfactory and lack practical use. This paper proposes a bottom-up virtual network synthesis (VNS) approach to the MD-VNE problem in multi-AS network environment and formulates it into a combinatorial optimization problem. We then propose two trajectory-based meta-heuristic approximation algorithms based on Greedy Randomized Adaptive Search Procedure (GRASP) and Iterative Local Search (ILS) methods together with a simple Greedy Heuristic (GH)-based algorithm as approximate solutions to the multi-AS VNS optimization problem. Experiments with these three approximation algorithms were conducted, and their performances were analyzed quantitatively based on well-defined metrics. The analysis results show the feasibility of the developed approximation solutions for practical solutions to the MD-VNE problem.
ISSN:2473-7585
DOI:10.1109/ICNC59896.2024.10556222