Dynamic load management for IMS networks using network function virtualization

Name: Dynamic load management for IMS networks using network function virtualization
Author: Dandin, Kaan, Hokelek, I., Karabulut Kurt, G.

İsim	Dynamic load management for IMS networks using network function virtualization
Yazar	Dandin, Kaan, Hokelek, I., Karabulut Kurt, G.
Basım Tarihi:	2016
Basım Yeri	- IEEE
Konu	IMS, NFV, Load management
Tür	Belge
Dil	İngilizce
Dijital	Evet
Yazma	Hayır
Kütüphane:	Özyeğin Üniversitesi
Demirbaş Numarası	2374-9709
Kayıt Numarası	73e4822c-ffac-40b4-bc77-3ebac11bd3d4
Tarih	2016
Örnek Metin	Network Function Virtualization (NFV) is utilized to simplfy the deployment and management of constantly evolving and highly complex networking services. In this paper, we propose a dynamic load management framework for IMS networks using NFV, where IMS functions are created within a single virtual machine (VM) instance and moved to the cloud environment. Requests coming from the IMS clients are first processed by a Load Balancer module to efficiently distribute the incoming load over a pool of IMS VMs. The decision of switching an IMS VM instance on or off is performed by the VM provisioning service using the resource utilization information periodically received from the IMS VMs. The proof-of-concept experiments using a realistic testbed demonstrate that the proposed framework increases the scalability of the IMS networks when there are sudden significant increases in traffic.
DOI	10.1109/NOMS.2016.7502948

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Dynamic load management for IMS networks using network function virtualization

Yazar Dandin, Kaan, Hokelek, I., Karabulut Kurt, G.

Basım Tarihi 2016

Basım Yeri - IEEE

Konu IMS, NFV, Load management

Tür Belge

Dil İngilizce

Dijital Evet

Yazma Hayır

Kütüphane Özyeğin Üniversitesi

Demirbaş Numarası 2374-9709

Kayıt Numarası 73e4822c-ffac-40b4-bc77-3ebac11bd3d4

Tarih 2016

Örnek Metin Network Function Virtualization (NFV) is utilized to simplfy the deployment and management of constantly evolving and highly complex networking services. In this paper, we propose a dynamic load management framework for IMS networks using NFV, where IMS functions are created within a single virtual machine (VM) instance and moved to the cloud environment. Requests coming from the IMS clients are first processed by a Load Balancer module to efficiently distribute the incoming load over a pool of IMS VMs. The decision of switching an IMS VM instance on or off is performed by the VM provisioning service using the resource utilization information periodically received from the IMS VMs. The proof-of-concept experiments using a realistic testbed demonstrate that the proposed framework increases the scalability of the IMS networks when there are sudden significant increases in traffic.

DOI 10.1109/NOMS.2016.7502948