A Petabit Bufferless Optical Switch for Data Center Networks

Xi, Kang; Kao, Yu-Hsiang; Chao, H. Jonathan

doi:10.1007/978-1-4614-4630-9_8

Cited by 72 publications

(52 citation statements)

References 29 publications

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“…The design is targeting 10,000 of 100 Gbps ports by using one optical switch that is capable of delivering Petabit per second capacity. The structure of the Petabit switch as shown in Figure 12 is composed of a three-stage clos network fabric with Input Modules (IMs), Central Modules (CMs) and Output Modules (OMs), where each module has an AWGR [36]. Multiple of AWGRs are required for the Petabit switch since each AWGR can support few ports (128x128).…”

Section: Full Optical Data Centersmentioning

confidence: 99%

“…In addition, the Petabit switch employs an iterative frame scheduling algorithm to coordinate input output traffic assignment. The performance of Petabit was shown to be improved; with the employment of three iterations and speed up of 1.6, the scheduling algorithm achieved 100% throughput, a detailed description of the scheduling algorithm is presented in [36]. Numerous other full optical designs for DCN interconnection have been presented to provide viable solutions for future data centers, allowing for high bandwidth interconnection for especially video streaming and cloud computing applications with acceptable reduced latency.…”

Section: Full Optical Data Centersmentioning

confidence: 99%

“…The introduction of PONs in the DCNs design for rack to rack communication have enhanced the performance and reduced energy consumption for about 10% [34]. The optical-based architecture designs such as Petabit [36] and Proteus [39] were reported to bring huge savings in power consumption that could reach almost 75% [28]. Flattening data centers from three tiers and two tiers to one-tier fabric such as QFabric has also reported to increase the savings to reach 77% [27].…”

Section: Comparison Of Energy Efficient Efforts In Dcnsmentioning

confidence: 99%

See 2 more Smart Citations

A survey on architectures and energy efficiency in Data Center Networks

Hammadi

Mhamdi

2014

Computer Communications

193

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Section: Full Optical Data Centersmentioning

confidence: 99%

Section: Full Optical Data Centersmentioning

confidence: 99%

Section: Comparison Of Energy Efficient Efforts In Dcnsmentioning

confidence: 99%

See 1 more Smart Citation

A survey on architectures and energy efficiency in Data Center Networks

Hammadi

Mhamdi

2014

Computer Communications

193

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“…These trends result in incentives to both reduce the number of switching equipment (switches, cables) and to reduce overall power consumption. To alleviate these problems, there have been numerous proposals using optical switching devices in DCs [29], [30], [31], [32]. All of these proposals underprovision the capacity of the optical network to achieve cost efficiency and dynamically route flows in the optical domain with complex optical control planes.…”

Section: Related Workmentioning

confidence: 99%

“…c-through [29] and Helios [30] use MEMS (Microelectromechanical System) optical switches, and an optical control framework provisions optical circuits for flows in the system by positioning small mirrors in the MEMS device. DOS [31] and Petabit [32] both employ AWGRs and tunable wavelength converters (TWCs) to route packets to the destinations through the AWGR by dynamically changing the signals' wavelengths with TWCs. A drawback of these optical DC proposals is that they employ widely available optical switching devices, which switch in the order of milliseconds.…”

Section: Related Workmentioning

confidence: 99%

Towards 48-fold cabling complexity reduction in large flattened butterfly networks

Csernai¹,

Ciucu

Braun

et al. 2015

2015 IEEE Conference on Computer Communications (INFOCOM)

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Modeling and analysis of the performance of exascale photonic networks

Duro

Pascual

Petit

et al. 2018

Concurrency and Computation

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Photonics technology has become a promising and viable alternative for both on-chip and off-chip interconnection networks of future Exascale systems. Nevertheless, this technology is not mature enough yet in this context, so research efforts focusing on photonic networks are still required to achieve realistic suitable network implementations. In this regard, system-level photonic network simulators can help guide designers to assess the multiple design choices. Most current research is done on electrical network simulators, whose components work widely different from photonics components. In this work, we summarize and compare the working behavior of both technologies which includes the use of optical routers, wavelength-division multiplexing and circuit switching among others. After implementing them into a well-known simulation framework, an extensive simulation study has been carried out using realistic photonic network configurations with synthetic and realistic traffic. Experimental results show that, compared to electrical networks, optical networks can reduce the execution time of the studied real workloads in almost one order of magnitude. Our study also reveals that the photonic configuration highly impacts on the network performance, being the bandwidth per channel and the message length the most important parameters. KEYWORDS interconnection networks, photonic technology, simulation framework 1 INTRODUCTION The most powerful supercomputers in the world 1 are ranked by their computational power in terms of floating-point operations executed per second (FLOPS). The Sunway TaihuLight, the recent supercomputer leading the list at November 2017, realizes by 93 PetaFlops (10 15 ) with 10.5 million cores. The Top500 list tracks the computational power of supercomputers since 1971, and according to the current growing compu-tational trend, it is expected that supercomputers will break the ExaFlop (10 18 ) barrier by 2020. Reaching this target, however, is challenging and requires from multiple simultaneous solutions addressing, among others, computation at chip level (nodes of the system), data movement across the system, distributed storage, energy management, etc.From the aforementioned challenges, the data movement challenge is probably the most critical to be achieved, mainly due to the increasing number of computing nodes, and therefore, the increasing communication requirements. Exascale networks will count with thousands of computing nodes, so data transmission among them becomes a major design concern, and new requirements rise not only in terms of throughput but also in energy demands. In such systems, the underlying network technology 2,3 is a critical design choice, and this is the focus of the European ExaNeSt, project which is currently being developed (see Section 2.1 for more details).In this regard, photonics interconnects, both on-chip and off-chip, have emerged as a worth alternative technology addressing the key constraints of traditional electrical networks. This technology provides much m...

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A Petabit Bufferless Optical Switch for Data Center Networks

Cited by 72 publications

References 29 publications

A survey on architectures and energy efficiency in Data Center Networks

A survey on architectures and energy efficiency in Data Center Networks

Towards 48-fold cabling complexity reduction in large flattened butterfly networks

Modeling and analysis of the performance of exascale photonic networks

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