DocumentCode
125233
Title
Virtual Topology Mapping in SDN-Enabled Clouds
Author
Papagianni, C. ; Androulidakis, G. ; Papavassiliou, S.
Author_Institution
Inst. of Commun. & Comput. Syst., Nat. Tech. Univ. of Athens, Athens, Greece
fYear
2014
fDate
5-7 Feb. 2014
Firstpage
62
Lastpage
67
Abstract
Software-Defined Networking (SDN) is transforming the way networks are designed and built, by decoupling control and data forwarding planes and centralizing network intelligence, mainly through the use of the OpenFlow standard. On the other hand the cloud is evolving to the networked cloud paradigm, integrating communication resources. Due to its functional characteristics (network programmability, network partitioning and virtualization) OpenFlow lends well to networked cloud concept. In order however to provide networked cloud resources with minimal management effort, it is essential to address efficiently the resource mapping problem at hand. The current study adapts an existing resource mapping algorithm, to be applied in an SDN-enabled networked cloud environment. The adaptation provides flexibility in the setup of virtual network topologies and efficient use of the flowspace.
Keywords
cloud computing; virtual reality; virtualisation; OpenFlow standard; SDN-enabled clouds; SDN-enabled networked cloud environment; communication resources; data forwarding planes; decoupling control; functional characteristics; network intelligence; network partitioning; network programmability; networked cloud concept; networked cloud paradigm; resource mapping algorithm; software-defined networking; virtual network topology; virtual topology mapping; virtualization; Bandwidth; Cloud computing; Network topology; Resource management; Substrates; Topology; Virtualization; OpenFlow; Software Defined Networks; Virtual topology mapping; flowspace allocation; networked cloud;
fLanguage
English
Publisher
ieee
Conference_Titel
Network Cloud Computing and Applications (NCCA), 2014 IEEE 3rd Symposium on
Conference_Location
Rome
Print_ISBN
978-0-7695-5168-5
Type
conf
DOI
10.1109/NCCA.2014.18
Filename
6786764
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