DocumentCode :
668053
Title :
Scalable On-Demand Network Management Module for Software Defined Telecommunication Networks
Author :
Mueller, Jessica ; Wierz, Andreas ; Magedanz, T.
fYear :
2013
fDate :
11-13 Nov. 2013
Firstpage :
1
Lastpage :
6
Abstract :
The design of telecommunication networks and its provisioning is a challenging and complex task, which is constantly influenced by various factors. The disciplines of Traffic Engineering (TE) and Network Management (NM) have addressed these domains with static, semi-automatic and pure self-organizational approaches. Most of the existing approaches usually either relax the problem by taking strong assumptions on the problem instances or by only taking a small portion of the solution space into consideration, thus losing the chance of proving any global optimality gaps. The emerging cloud hosted flexible telecommunication system addressed by the industry nowadays puts new requirements on TE and ND. Current, telecommunication networks are often statically deployed and over-provisioned to cover pre-defined peak data rates, but are inflexible to adapt to dynamic network load situations. This paper presents novel dynamic Traffic Engineering (TE) and adaptive Network Management (NM) approaches for software defined telecommunication networks, which reduce Operational - and Capital Expenditures (OPEX/CAPEX), but also enhance the level of flexibility and elasticity at the same time.
Keywords :
cloud computing; computer network management; telecommunication traffic; NM; TE; adaptive network management; capital expenditure reduction; cloud hosted flexible telecommunication system; dynamic traffic engineering; operational expenditure reduction; pure self-organizational approach; scalable on-demand network management module; semiautomatic approach; software defined telecommunication networks; static approach; telecommunication network design; Bandwidth; Control systems; Hardware; Optimization; Routing; Software;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Future Networks and Services (SDN4FNS), 2013 IEEE SDN for
Conference_Location :
Trento
Type :
conf
DOI :
10.1109/SDN4FNS.2013.6702550
Filename :
6702550
Link To Document :
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