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Journal ArticleDOI

Rethinking virtual network embedding: substrate support for path splitting and migration

Minlan Yu, +3 more
- Vol. 38, Iss: 2, pp 17-29
TLDR
This paper simplifies virtual link embedding by allowing the substrate network to split a virtual link over multiple substrate paths and employing path migration to periodically re-optimize the utilization of the substrates network.
Abstract
Network virtualization is a powerful way to run multiple architectures or experiments simultaneously on a shared infrastructure. However, making efficient use of the underlying resources requires effective techniques for virtual network embedding--mapping each virtual network to specific nodes and links in the substrate network. Since the general embedding problem is computationally intractable, past research restricted the problem space to allow efficient solutions, or focused on designing heuristic algorithms. In this paper, we advocate a different approach: rethinking the design of the substrate network to enable simpler embedding algorithms and more efficient use of resources, without restricting the problem space. In particular, we simplify virtual link embedding by: i) allowing the substrate network to split a virtual link over multiple substrate paths and ii) employing path migration to periodically re-optimize the utilization of the substrate network. We also explore node-mapping algorithms that are customized to common classes of virtual-network topologies. Our simulation experiments show that path splitting, path migration,and customized embedding algorithms enable a substrate network to satisfy a much larger mix of virtual networks

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Citations
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Journal ArticleDOI

A survey of network virtualization

TL;DR: The existing technologies and a wide array of past and state-of-the-art projects on network virtualization are surveyed followed by a discussion of major challenges in this area.
Journal ArticleDOI

Virtual Network Embedding: A Survey

TL;DR: A survey of current research in the Virtual Network Embedding (VNE) area is presented and a taxonomy of current approaches to the VNE problem is provided and opportunities for further research are discussed.
Proceedings ArticleDOI

Virtual Network Embedding with Coordinated Node and Link Mapping

TL;DR: This paper formulate the VN em- bedding problem as a mixed integer program through substrate network augmentation, and devise two VN embedding algo- rithms D-ViNE and R- ViNE using deterministic and randomized rounding techniques, respectively.
Proceedings ArticleDOI

Towards predictable datacenter networks

TL;DR: The case for extending the tenant-provider interface to explicitly account for the network is made, and the design of virtual network abstractions that capture the trade-off between the performance guarantees offered to tenants, their costs and the provider revenue are proposed.
Journal ArticleDOI

Resource Allocation in NFV: A Comprehensive Survey

TL;DR: This paper presents a comprehensive state of the art of NFV-RA by introducing a novel classification of the main approaches that pose solutions to solve the NFV resource allocation problem.
References
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