DocumentCode :
1866922
Title :
Resilient deployment of virtual network functions
Author :
Scholler, Marcus ; Stiemerling, Martin ; Ripke, Andreas ; Bless, Roland
Author_Institution :
NEC Eur. Ltd., Heidelberg, Germany
fYear :
2013
fDate :
10-13 Sept. 2013
Firstpage :
208
Lastpage :
214
Abstract :
Moving services to the cloud is a trend that has been going on for years now, with a constant increase in sophistication and complexity of such services. Today, even critical infrastructure operators are considering moving their services and data to the cloud; most prominently are telecommunication operators, who are calling for running their service as so-called virtual network services. These services are usually composed from a set of components, each with individual resilience and scalability requirements. Hence, the problem of describing the blueprint of how to build a service from its components, including the components´ requirements, and how to derive an actual deployment from such a blueprint needs to be solved. In this paper, we present a first step in this direction. We have developed an information model to describe the resources and components of complex composite services, and a management system that maps such a description into a deployment model. We have based our prototype on OpenStack and have identified some shortcomings of it that need to be overcome to make an automated resilience-aware deployment and operation system reality.
Keywords :
cloud computing; virtual machines; OpenStack; automated resilience-aware deployment; cloud services; complex composite services; critical infrastructure operators; information model; management system; operation system reality; telecommunication operators; virtual network functions; Bandwidth; Computational modeling; Computer architecture; Media; Reliability; Resilience; Servers;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT), 2013 5th International Congress on
Conference_Location :
Almaty
ISSN :
2157-0221
Print_ISBN :
978-1-4799-1376-3
Type :
conf
DOI :
10.1109/ICUMT.2013.6798428
Filename :
6798428
Link To Document :
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