University of Oulu

A. Laghrissi and T. Taleb, "A Survey on the Placement of Virtual Resources and Virtual Network Functions," in IEEE Communications Surveys & Tutorials, vol. 21, no. 2, pp. 1409-1434, Secondquarter 2019. doi: 10.1109/COMST.2018.2884835

A survey on the placement of virtual resources and virtual network functions

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Author: Laghrissi, Abdelquoddouss1; Taleb, Tarik1,2,3
Organizations: 1Department of Communications and Networking, School of Electrical Engineering, Aalto University, 02150 Espoo, Finland
2Oulu University, FI-90014 Oulu, Finland
3Computer and Information Security Department, Sejong University, 143-747 (05006) Seoul, South Korea
Format: article
Version: accepted version
Access: open
Online Access: PDF Full Text (PDF, 0.6 MB)
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Language: English
Published: Institute of Electrical and Electronics Engineers, 2019
Publish Date: 2020-02-18


Cloud computing and network slicing are essential concepts of forthcoming 5G mobile systems. Network slices are essentially chunks of virtual computing and connectivity resources, configured and provisioned for particular services according to their characteristics and requirements. The success of cloud computing and network slicing hinges on the efficient allocation of virtual resources (e.g., VCPU and VMDISK) and the optimal placement of virtualized network functions (VNFs) composing the network slices. In this context, this paper elaborates issues that may disrupt the placement of VNFs and virtual machines (VMs). This paper classifies the existing solutions for VM placement based on their nature, whether the placement is dynamic or static, their objectives, and their metrics. This paper then proposes a classification of VNF placement approaches, first, regarding the general placement and management issues of VNFs, and second, based on the target VNF type.

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Series: IEEE communications surveys and tutorials
ISSN: 1553-877X
ISSN-E: 2373-745X
ISSN-L: 1553-877X
Volume: 21
Issue: 2
Pages: 1409 - 1434
DOI: 10.1109/COMST.2018.2884835
Type of Publication: A1 Journal article – refereed
Field of Science: 113 Computer and information sciences
Funding: This work was partially supported by the European Union’s Horizon 2020 research and innovation programme under the 5G!Pagoda project with grant agreement No. 723172, and the Academy of Finland’s Flagship programme 6Genesis (grant no. 318927).
Academy of Finland Grant Number: 318927
Detailed Information: 318927 (Academy of Finland Funding decision)
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