Jialin Wu

Beijing University of Posts and Telecommunications

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Yi Lin

Hong Kong University of Science and Technology

Lingyun Yao

East China University of Science and Technology

Jie Zhang

University of Sheffield

Hui Yang

Beijing University of Posts and Telecommunications

Yongli Zhao

Beijing University of Posts and Telecommunications

Young Lee

SLAC National Accelerator Laboratory

Jianrui Han

Huawei Technologies (United Kingdom)

Jieqiong Lin

Changchun University of Technology

Cheng Lei

Shaanxi Normal University

Yuefeng Ji

Beijing University of Posts and Telecommunications

Cooperative Institutions

Beijing University of Posts and Telecommunications

Huawei Technologies (United Kingdom)

State Key Laboratory of Information Photonics and Optical Communications

Chinese Academy of Sciences

Zhejiang Normal University

Jilin University

Jinan University

Hangzhou Dianzi University

Shaanxi Normal University

State Key Laboratory on Integrated Optoelectronics

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OBS/GMPLS Interworking Network with Scalable Resource Discovery for Global Grid Computing

Networks for Grid Applications (2009)

Jialin Wu L. Liu Xiaoyan Hong Jieqiong Lin

In recent years, Grid computing is more common in the industry and research community and will open to the consumer market in the future. The final objective is the achievement of global Grid computing, which means that the computing and networks are flexibly integrated across the world and a scalable resource discovery scheme is implemented. In this paper, a promising architecture, i.e., optical burst switching (OBS)/generalized multi-protocol label switching (GMPLS) interworking network with Peer-to-Peer (P2P)-based scheme for resource discovery is investigated to realize a highly scalable and flexible platform for Grids. Experimental results show that this architecture is suitable and efficient for future global Grid computing.

10.1007/978-3-642-02080-3_25

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Citations (1)

Deflecting incident flexural waves in a cylindrical shell metasurface

Applied Acoustics (2024)

Jialin Wu Lingyun Yao

10.1016/j.apacoust.2024.110436

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Multi-Stratum Resources Integration Resilience with for Software Defined Data Center Interconnect based on IP over Elastic Optical Networks

Asia Communications and Photonics Conference 2021 (2014)

Hui Yang Cheng Lei Jialin Wu Yongli Zhao Jie Zhang

We propose a multi-stratum resources integration resilience (MSRIR) architecture for services in software defined data center interconnect based on IP over elastic optical networks. The feasibility and efficiency are verified on OpenFlow-based control plane.

OpenFlow

Resilience

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Data center

10.1364/acpc.2014.ath4f.2

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Deflecting Incident Flexural Waves in a Cylindrical Shell Metasurface

Jialin Wu Lingyun Yao

10.2139/ssrn.4946114

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Performance evaluation of multi-stratum resources integrated resilience for software defined inter-data center interconnect

Optics Express (2015)

Hui Yang Jie Zhang Yongli Zhao Yuefeng Ji Jialin Wu

Inter-data center interconnect with IP over elastic optical network (EON) is a promising scenario to meet the high burstiness and high-bandwidth requirements of data center services. In our previous work, we implemented multi-stratum resources integration among IP networks, optical networks and application stratums resources that allows to accommodate data center services. In view of this, this study extends to consider the service resilience in case of edge optical node failure. We propose a novel multi-stratum resources integrated resilience (MSRIR) architecture for the services in software defined inter-data center interconnect based on IP over EON. A global resources integrated resilience (GRIR) algorithm is introduced based on the proposed architecture. The MSRIR can enable cross stratum optimization and provide resilience using the multiple stratums resources, and enhance the data center service resilience responsiveness to the dynamic end-to-end service demands. The overall feasibility and efficiency of the proposed architecture is experimentally verified on the control plane of our OpenFlow-based enhanced SDN (eSDN) testbed. The performance of GRIR algorithm under heavy traffic load scenario is also quantitatively evaluated based on MSRIR architecture in terms of path blocking probability, resilience latency and resource utilization, compared with other resilience algorithms.

OpenFlow

Testbed

Resilience

Data center

10.1364/oe.23.013384

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Citations (48)