Journal of Optoelectronics · Laser, Volume. 33, Issue 3, 305(2022)
Research on traffic classification and scheduling in hybrid optoelectronic data centers
In a hybrid optoelectronic data center,an electronic switch can switch packets in small traffic flow flexibly and efficiently,but cannot effectively transmit those in large traffic with long duration.In contrast,optical routers are just the opposite.Therefore,in the hybrid optoelectronic data center networks based on arrayed waveguide grating router (AWGR),a hierarchical and classified traffic scheduling strategy using active queue detection is proposed to achieve effective scheduling of both large and small traffic by a combination of electronic switching networks and optical wavelength paths.According to the traffic model of data centers,simulation experiments are designed,in which the average delay and throughput of each architecture under different traffic models are analyzed.Numerical results show that:comparing with the Fat-tree,C-Through structures and the conventional tree structures with a bandwidth convergence ratio of 1∶1,the throughput of the AWGR structures increases at least 19.43% and the delay reduces at least 45.73% under random traffic model.Under point-to-point traffic model,as K increases from 1 to 4,the AWGR structures compared with the other three structures have the lowest throughput drop and delay increase of 2.85% and 46.98% respectively,Our scheme can effectively improve the performance of throughput and delay in a datacenter.
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LIU Fengqing, CHEN Yuxing, ZHANG Tianyi. Research on traffic classification and scheduling in hybrid optoelectronic data centers[J]. Journal of Optoelectronics · Laser, 2022, 33(3): 305
Received: Jul. 5, 2021
Accepted: --
Published Online: Oct. 9, 2024
The Author Email: LIU Fengqing (liufq@njupt.edu.cn)