DocumentCode
1930438
Title
Improving Cloud Datacentre Scalability, Agility and Performance Using OpenFlow
Author
Baker, Charlie ; Anjum, Ashiq ; Hill, Richard ; Bessis, Nik ; Kiani, Saad Liaquat
Author_Institution
Sch. of Comput. & Math., Univ. of Derby, Derby, UK
fYear
2012
fDate
19-21 Sept. 2012
Firstpage
20
Lastpage
27
Abstract
With network infrastructure reaching capacity limits, new ways of managing network traffic and devices in Cloud data centres need to be investigated to better scale and manage the data centre resources. Open Flow can be a good fit for the usage within a datacentre due to its promise to reduce the cost of operations by reducing the time needed to configure network resources and flexibly managing the operations. Open Flow allows a programmable Software Defined Network to be implemented and network resources such as switches can be remotely and collectively configured, controlled and monitored. With increasing number of resources in data centres, and by consequence the networking hardware and software, Open Flow can be used to manage the network devices and the flow of traffic throughout the network. This paper investigates if Open Flow based switches allow for flexible networking and administration to enable quick network segmentation, packet re-routing, permit scalability and allow for quick network setup in Cloud data centres. With the help of experiments, this work also investigates what design and implementation considerations need to be made to achieve scalability, agility and performance in Cloud data centres.
Keywords
cloud computing; OpenFlow; cloud datacentre; network resources; network traffic; software defined network; Hardware; Network topology; Routing; Software; Storage area networks; Switches; cloud computing; datacentres; networking; openflow;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Networking and Collaborative Systems (INCoS), 2012 4th International Conference on
Conference_Location
Bucharest
Print_ISBN
978-1-4673-2279-9
Type
conf
DOI
10.1109/iNCoS.2012.118
Filename
6338039
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