Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/76445
Title: A QoS guaranteed technique for cloud applications based on software defined networking
Authors: Li, FL 
Cao, JN 
Wang, XW
Sun, YC
Keywords: Software defined networking
Cloud computing
QoS
Applications
Issue Date: 2017
Publisher: Institute of Electrical and Electronics Engineers
Source: IEEE access, 2017, v. 5, p. 21229-21241 How to cite?
Journal: IEEE access 
Abstract: Due to the centralized control, network-wide monitoring and flow-level scheduling of software-defined- networking (SDN), it can be utilized to achieve quality of service (QoS) for cloud applications and services, such as voice over IP, video conference, and online games. However, most existing approaches stay at the QoS framework design and test level, while few works focus on studying the basic QoS techniques supported by SDN. In this paper, we enable SDN with QoS guaranteed abilities, which could provide end-to-end QoS routing for each cloud user service. First of all, we implement an application identification technique on SDN controller to determine required QoS levels for each application type. Then, we implement a queue scheduling technique on SDN switch. It queues the application flows into different queues and schedules the flows out of the queues with different priorities. At last, we evaluate the effectiveness of the proposed SDN- based QoS technique through both theoretical and experimental analysis. Theoretical analysis shows that our methods can provide differentiated services for the application flows mapped to different QoS levels. Experiment results show that when the output interface has suficiently available bandwidth, the delay can be reduced by 28% on average. In addition, for the application flow with the highest priority, our methods can reduce 99.99% delay and increase 90.17% throughput on average when the output interface utilization approaches to the maximum bandwidth limitation.
URI: http://hdl.handle.net/10397/76445
ISSN: 2169-3536
DOI: 10.1109/ACCESS.2017.2755768
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