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Shoujiang Ma

Researcher at University of Science and Technology of China

Publications -  15
Citations -  464

Shoujiang Ma is an academic researcher from University of Science and Technology of China. The author has contributed to research in topics: OpenFlow & Testbed. The author has an hindex of 9, co-authored 15 publications receiving 401 citations.

Papers
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Protocol Oblivious Forwarding (POF): Software-Defined Networking with Enhanced Programmability

TL;DR: This article discusses how to leverage protocol-oblivious forwarding (POF) to further enhance the network programmability such that the forwarding plane becomes protocol-independent and can be dynamically reprogrammed to support new protocol stacks seamlessly.
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Demonstration of Cooperative Resource Allocation in an OpenFlow-Controlled Multidomain and Multinational SD-EON Testbed

TL;DR: This paper designs the functionalities in the control plane to facilitate multidomain tasks, and proposes an interdomain protocol to enable OpenFlow controllers in different SD-EON domains to operate cooperatively for multidOMain routing and spectrum assignment.
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OpenFlow-assisted online defragmentation in single-/multi-domain software-defined elastic optical networks [invited]

TL;DR: An inter-domain protocol to facilitate FA-RSA in multi-domain SD-EONs with the cooperation of multiple OpenFlow controllers is designed and implemented and the experimental results indicate that the OpenFlow-controlled DF systems perform well and can improve the performance of SD- EONs effectively.
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Demonstrations of Efficient Online Spectrum Defragmentation in Software-Defined Elastic Optical Networks

TL;DR: This paper investigates how to overcome spectrum fragmentation in SD-EONs with OpenFlow-controlled online spectrum defragmentation (DF), and conducts system implementations to facilitate highly-efficient online DF.
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Leveraging master-slave OpenFlow controller arrangement to improve control plane resiliency in SD-EONs.

TL;DR: Experimental results indicate that the proposed system can restore services in both the data and control planes of SD-EON jointly while maintaining relatively good scalability.