Fine-Grained Resource-Aware Virtual Network Function Management for 5G Carrier Cloud

Faqir Zarrar Yousaf, Tarik Taleb

Research output: Contribution to journalArticleScientificpeer-review

52 Citations (Scopus)

Abstract

This article proposes an approach that enables a cloud infrastructure MANO entity, in a virtualized infrastructure (e.g., a data center) that hosts virtualized networks and services, to derive the affinity scores for the plurality of resource units with reference to a specific resource unit for each individual virtual machine instance. This affinity score, referred to as the reference resource affinity score, will enable a MANO entity to perform precise and efficient resource tailoring or dimensioning, and hence will optimize its decisions and actions related to the operations and management of the virtualized systems inside the cloud infrastructure. The proposed approach is particularly of vital importance for the management of virtual network functions that are chained to create network services as part of the carrier cloud concept, an important vision of the future 5G architecture.

Original languageEnglish
Article number7437032
Pages (from-to)110-115
Number of pages6
JournalIEEE NETWORK
Volume30
Issue number2
DOIs
Publication statusPublished - 2016
MoE publication typeA1 Journal article-refereed

Keywords

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