Optical Interconnects for Cloud Computing Data Centers: Recent Advances and Future Challenges

Imran, Muhammad; Haleem, Saqib

doi:10.22323/1.327.0017

Cited by 5 publications

(3 citation statements)

References 28 publications

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“…To cope with the unprecedented traffic explosions and unbalanced traffic distributions, data center network (DCN) architecture design has become a major research priority, since DCs have hundreds of thousands of servers for data storage and processing [3]. The design of DCN architecture needs to satisfy several requirements, such as high bandwidth, flexibility, fast reconfiguration, scalability, dynamical adaption, and low cabling complexity [4,5]. The conventional wired DCN architecture [6,7] has so far been the dominant architecture in research.…”

Section: Introductionmentioning

confidence: 99%

Low-Latency Optical Wireless Data-Center Networks Using Nanoseconds Semiconductor-Based Wavelength Selectors and Arrayed Waveguide Grating Router

et al. 2022

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In order to meet the massively increasing requirements of big-data applications, data centers (DCs) are key infrastructures to cope with the associated demands, such as high performance, easy scalability, low cabling complexity and low power consumption. Many research efforts have been dedicated to traditional wired data center networks (DCNs). However, DCNs’ static and rigid topology based on optical cables significantly limits their flexibility, scalability, and even reconfigurability. The limitations of this wired connection can be addressed with optical wireless technology, which avoids cable complexity problems while allowing dynamic adaption and fast reconfiguration. Here, we propose and investigate a novel optical wireless data-center network (OW-DCN) architecture based on nanoseconds semiconductor optical amplifier (SOA)-based wavelength selectors and arrayed waveguide grating router (AWGR) controlled by fast field-programmable gate array (FPGA)-based switch schedulers. The full architecture, including the design, packet-switching strategy, contention solving methodology, and reconfiguration capability, is presented and demonstrated. Dynamic switch scheduling with a FPGA-based switch scheduler processing optical label and software-defined network (SDN)-based reconfiguration were experimentally confirmed. The proposed OW-DCN was also achieved with a power penalty of less than 2 dB power penalty at BER < 1 × 10−9 for a 50 Gb/s OOK transmission and packet-switching transmission.

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Section: Introductionmentioning

confidence: 99%

Low-Latency Optical Wireless Data-Center Networks Using Nanoseconds Semiconductor-Based Wavelength Selectors and Arrayed Waveguide Grating Router

et al. 2022

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“…A large number of DCNs have been deployed worldwidely with massive layered switches [1] and thousands of servers to interchange a great quantity of data. The DCN architectures (Leaf-Spine, Fat-tree, etc.,) with multi-tier switching layers need to provide the required network efficiency and flexibility to interconnect thousands of top of the racks (ToRs), each with tens-Tb/s aggregated traffic [2,3]. The DCNs have to scale In order to find an effective load balancing method suitable for cloud DCN to improve network utilization, we have studied the current theoretical and practical solutions in this field [9,10] and summarized the shortcomings of these solutions.…”

Section: Introductionmentioning

confidence: 99%

A port-based forwarding load-balancing scheduling approach for cloud datacenter networks

2021

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Today’s datacenter networks (DCNs) scale is rapidly increasing because of the wide deployment of cloud services and the rapid rise of edge computing. The bandwidth consumption and cost of a DCN are growing sharply with the extensions of network size. Thus, how to keep the traffic balanced is a key and challenging issue. However, the traditional load balancing algorithms such as Equal-Cost Multi-Path routing (ECMP) are not suitable for high dynamic traffic in cloud DCNs. In this paper, we propose a port-based forwarding load balancing scheduling (PFLBS) approach for Fat-tree based DCNs with some new features which can overcome the disadvantages of the existing load balancing methods in the following aspects. Firstly, we define a port-based source-routing addressing scheme, which decreases the switch complexity and makes the table-lookup operation unnecessary. Secondly, based on this addressing scheme, we proposed an effective routing mechanism which can obtain multiple available paths for flow scheduling based in Fat-tree. All the path information is saved in servers and each server only needs to maintain its own path information. Thirdly, we propose an efficient algorithm to implement large flows scheduling dynamically in terms of current link utilization ratio. This method is suitable for cloud DCNs and edge computing, which can reduce the complexity of the switches and the power consumption of the whole network. The experiment results indicate that the PFLBS approach has better performance compared with the ECMP, Hedera and MPTCP approaches, which decreases the flow completion time and improves the average throughput significantly. PFLBS is simple and can be implemented with a few signaling overheads.

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“…Therefore, to accommodate the tremendous increase in amounts of traffic, the next-generation DCNs are expected to evolve towards new switching technologies with high bandwidth and architectures to upturn the network performance. Benefitting from the data rate and format transparency, switching the data traffic in the optical domain with high bandwidth is gaining momentum as the potential solution for significantly scaling up DCNs [7,8,9]. The very large bandwidth offered by the optical switches also allow for flattening the network architecture then avoiding large latency caused by hierarchical electrical switching structures [10].…”

Section: Introductionmentioning

confidence: 99%

SDN enabled flexible optical data center network with dynamic bandwidth allocation based on photonic integrated wavelength selective switch

Xue¹,

Nakamura²,

Prifti³

et al. 2020

Opt. Express

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Optical Interconnects for Cloud Computing Data Centers: Recent Advances and Future Challenges

Cited by 5 publications

References 28 publications

Low-Latency Optical Wireless Data-Center Networks Using Nanoseconds Semiconductor-Based Wavelength Selectors and Arrayed Waveguide Grating Router

Low-Latency Optical Wireless Data-Center Networks Using Nanoseconds Semiconductor-Based Wavelength Selectors and Arrayed Waveguide Grating Router

A port-based forwarding load-balancing scheduling approach for cloud datacenter networks

SDN enabled flexible optical data center network with dynamic bandwidth allocation based on photonic integrated wavelength selective switch

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