A framework of network connectivity management in multi-clouds infrastructure
dc.contributor.author | Al-Dulaimi, Anwer | |
dc.contributor.author | Mumtaz, Shahid | |
dc.contributor.author | Al-Rubaye, Saba | |
dc.contributor.author | Zhang, Siming | |
dc.contributor.author | Lin, Chih | |
dc.date.accessioned | 2019-03-13T15:47:59Z | |
dc.date.available | 2019-03-13T15:47:59Z | |
dc.date.issued | 2019-02-21 | |
dc.description.abstract | The network function virtualization (NFV) transformation is gaining an incredible momentum from mobile operators as one of the significant solutions to improve the resource allocation and system scalability in fifth-generation (5G) networks. However, the ultra-dense deployments in 5G create high volumes of traffic that pushes the physical and virtual resources of cloud-based networks to edge limits. Consider a distributed cloud, replacing the core network with virtual entities in the form of virtual network functions (VNFs) still requires efficient integration with various underlying hardware technologies. Therefore, orchestrating the distribution of load between cloud geo-datacenters starts by instantiating a virtual and physical network typologies that connect involved front haul with relevant VNFs. In this article, we provide a framework to manage calls within 5G network clusters for efficient utilization of computational resources and also to prevent unnecessary signaling. We also propose a new scheme to instantiate virtual tunnels for call forwarding between network clusters leading to new logic networks that combine geo-datacenters and fronthaul. To facilitate service chaining in cloud, we propose a new enhanced management and orchestration (E-MANO) architecture that brings network traffic policies from the application layer tothe fronthaul for instant monitoring of available resources. We provide analysis and testbed results in support of our proposals. the fronthaul for instant monitoring of available resources. We provide analysis and testbed results in support of our proposals. | en_UK |
dc.identifier.citation | Al-Dulaimi A, Mumtaz S, Al-Rubaye S, Zhang S & Chin-Lin I (2019) A framework of network connectivity management in multi-clouds infrastructure, IEEE Wireless Communications, Volume 26, Issue 3, 2019, pp. 104-110 | en_UK |
dc.identifier.cris | 22447338 | |
dc.identifier.issn | 1536-1284 | |
dc.identifier.uri | https://doi.org/10.1109/MWC.2019.1800166 | |
dc.identifier.uri | https://dspace.lib.cranfield.ac.uk/handle/1826/13987 | |
dc.language.iso | en | en_UK |
dc.publisher | IEEE | en_UK |
dc.rights | Attribution-NonCommercial 4.0 International | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc/4.0/ | * |
dc.subject | Cloud computing | en_UK |
dc.subject | Wireless fidelity | en_UK |
dc.subject | Long Term Evolution | en_UK |
dc.subject | Hardware | en_UK |
dc.subject | Switches | en_UK |
dc.subject | 5G mobile communication | en_UK |
dc.subject | Radio access networks | en_UK |
dc.title | A framework of network connectivity management in multi-clouds infrastructure | en_UK |
dc.type | Article | en_UK |
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