A Survey on Optical Interconnects for Data Centers

Kachris, Christoforos; Tomkos, Ioannis

doi:10.1109/surv.2011.122111.00069

Cited by 514 publications

(180 citation statements)

References 36 publications

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“…The input of the HNLF contains two (D)QPSK signals (A, B) and one continuous wave (CW) pump. Six converted idlers (idlers 1-6) are generated by three nondegenerate FWMs (idlers 1-3) and three degenerate FWMs (idlers [4][5][6]. The relationships between the electrical field (E) and optical phase (Φ) under non-depletion approximation are expressed as …”

Section: M-ary Optical Computing Using Hnlfmentioning

confidence: 99%

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M-ary Optical Computing

Wang¹,

Long²

2017

Cloud Computing - Architecture and Applications

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The era of cloud computing has fuelled the increasing demand on data centers for highperformance, high-speed data storage and computing. Digital signal processing may find applications in future cloud computing networks containing a large sum of data centers. Addition and subtraction are considered to be fundamental building blocks of digital signal processing which are ubiquitous in microprocessors for arithmetic operations. However, the processing speed is limited by the electronic bottleneck. It might be valuable to implement high-speed arithmetic operations of addition and subtraction in the optical domain. In this chapter, recent results of M-ary optical arithmetic operations for high base numbers are presented. By exploiting degenerate and nondegenerate four-wave mixing (FWM) in highly nonlinear fibers (HNLFs), graphene-assisted optical devices, and silicon waveguide devices, various types of two-/three-input high-speed quaternary/octal/decimal/hexadecimal optical computing operations have been demonstrated. Operation speed up to 50 Gbaud of this computing approach is experimentally examined. The demonstrated M-ary optical computing using high base numbers may facilitate advanced data management and superior network performance.

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Section: M-ary Optical Computing Using Hnlfmentioning

confidence: 99%

“…Optical interconnection is considered to be a promising technology for data interconnection in data centers. In future cloud computing networks containing a large sum of data centers, optical technology will play an important part [6][7][8]…”

Section: Introductionmentioning

confidence: 99%

M-ary Optical Computing

Wang¹,

Long²

2017

Cloud Computing - Architecture and Applications

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“…The reader is referred to a plethora of review articles for a general background as regards datacenters and issues only touched upon or not mentioned here (e.g. [1,[5][6][7]34,41,51,53,59,63,64]). …”

Section: Datacenter Network Designmentioning

confidence: 99%

The influence of datacenter usage on symmetry in datacenter network design

Stewart

Erickson

2017

J Supercomput

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We undertake the first formal analysis of the role of symmetry, interpreted broadly, in the design of server-centric datacenter networks. Although symmetry has been mentioned by other researchers, we explicitly relate it to various specific, structural, graph-theoretic properties of datacenter networks. Our analysis of symmetry is motivated by the need to ascertain the usefulness of a datacenter network as regards the support of network virtualization and prevalent communication patterns in multitenanted clouds. We argue that a number of structural concepts relating to symmetry from general interconnection networks, such as recursive-definability, the existence and dynamic construction of spanning trees, pancyclicity, and variations in Hamiltonicity, are appropriate topological metrics to use in this regard. In relation to symmetry, we highlight the relevance of algebraic properties and algebraic constructions within datacenter network design. Built upon our analysis of symmetry, we outline the first technique to embed guest datacenter networks in a host datacenter network that is specifically oriented towards server-centric datacenter networks. In short, we provide the graph-theoretic foundations for the design of server-centric datacenter networks so as to support network virtualization and communication patterns in cloud computing.

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“…Regarding systems architecture, today large DCs typically contain 100,000s servers which are interconnected to form a massively parallel supercomputing infrastructure making use of Core/Aggregation switches [3] adopting the so-called Spine-and-Leaf topology which is schematically shown in Figure 1. Currently, the connectivity requirements between racks increase at an astonishing rate e.g.…”

Section: Optical Cloudsmentioning

confidence: 99%