DocumentCode :
722557
Title :
QAMO-SDN: QoS aware Multipath TCP for software defined optical networks
Author :
Tariq, Sana ; Bassiouni, Mostafa
Author_Institution :
Dept. of Elec. Eng. & Comput. Sci., Univ. of Central Florida, Orlando, FL, USA
fYear :
2015
fDate :
9-12 Jan. 2015
Firstpage :
485
Lastpage :
491
Abstract :
Cloud based datacenters will be most suitable candidates for future software defined networking. The QoS requirements for shared data centers, hosting diverse applications could be successfully achieved through SDN architecture. This paper provides an extension of our previously proposed scheme QAMO that was aimed at achieving tangible QoS in datacenters through controlling bandwidth reservation in Multipath TCP and OBS layer while maintaining throughput efficiency. However, QAMO was designed for traditional networks and did not have the capability to adapt to current network status as expected from future software defined networks. The paper presents an enhanced algorithm called QAMO-SDN that introduces a controller layer in previously proposed architecture and achieves adaptive QoS differentiation based on current network feedback. QAMO-SDN inherits the architecture of QAMO, using Multipath TCP over OBS networks. We evaluate the performance of QAMO-SDN under different network loads and topologies using realistic data center traffic models and present the results of our detailed simulation tests.
Keywords :
optical communication; software defined networking; transport protocols; OBS networks; QAMO-SDN; QoS aware multipath TCP; SDN architecture; cloud based datacenters; realistic data center traffic models; software defined optical networks; Bandwidth; Computer architecture; Optical fiber networks; Quality of service; Software defined networking; Throughput; Topology; MPTCP; OBS; QoS; SDN; TCP; all-optical network; data center;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Consumer Communications and Networking Conference (CCNC), 2015 12th Annual IEEE
Conference_Location :
Las Vegas, NV
ISSN :
2331-9860
Print_ISBN :
978-1-4799-6389-8
Type :
conf
DOI :
10.1109/CCNC.2015.7158023
Filename :
7158023
Link To Document :
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