Elastic Optical Networking in the Microsoft Cloud [Invited]

Filer, Mark; Gaudette, Jamie; Ghobadi, Monia; Mahajan, Ratul; Issenhuth, Tom; Klinkers, Buddy; Cox, Jeff

doi:10.1364/jocn.8.000a45

Cited by 67 publications

(24 citation statements)

References 17 publications

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“…Under steady state normal conditions, the lightpath has OSNR statistics in the range between 22.3 and 22.0 dB, retrieved by the coherent receiver. As a typical commercial system [17], the 100G transponder provides such statistics every 15min (along with additional transmission parameters such as pre-FEC BER, received power, etc) through SNMP or NETCONF protocols to the central network controller. A minor failure then occurs on an intermediate device, such as the optical amplifier D5.…”

Section: A Eon With Edfa Monitoringmentioning

confidence: 99%

Network Telemetry Streaming Services in SDN-Based Disaggregated Optical Networks

Paolucci

Sgambelluri

Cugini

et al. 2018

J. Lightwave Technol.

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Accurate real-time availability of transmission parameters at the network controller has the potential to significantly improve the efficiency of control and management operations, particularly in the case of soft failures where detection and localization procedures are typically affected by the long monitoring time intervals usually adopted in current Elastic Optical Networks (EONs). In this paper, we report on the design, implementation and experimental demonstration of a telemetry service exploiting the gRPC protocol to enable on-demand streaming of real-time monitoring parameters, dynamically retrieved from a configurable set of network devices. The telemetry service is efficiently introduced for Software Defined Networking in EONs, also accounting for disaggregated network elements through standard YANG-defined network models. The implemented telemetry service is experimentally validated for partial and fully disaggregated architectures over networking scenarios where soft failures not addressable through traditional monitoring solutions are successfully detected and localized. Moreover, detailed performance evaluation is conducted varying the number of subscribed network elements, the type of communication (e.g., compressed vs. uncompressed, bundled vs. unbundled), showing remarkable scalability performance particularly in the case of compressed and bundled telemetry configurations.

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Section: A Eon With Edfa Monitoringmentioning

confidence: 99%

Network Telemetry Streaming Services in SDN-Based Disaggregated Optical Networks

Paolucci

Sgambelluri

Cugini

et al. 2018

J. Lightwave Technol.

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“…The OpenFlow specification defines the components of a switch, message format, and kind of actions that need to be taken in a generalized manner. The switching functionality, ie., a packet coming from one port and switched onto some other port, was included as the 'packet-matching function' in the OpenFlow compatible switch [9] [10]. Programming the packet-matching function and forwarding policies (flow table management) can be managed through the centralized OpenFlow controller.…”

Section: Flow Table Matching Approach In Sdnmentioning

confidence: 99%

Match Field based Algorithm Selection Approach in Hybrid SDN and PCE Based Optical Networks

Selvaraj¹,

Nagarajan²

2018

KSII TIIS

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The evolving internet-based services demand high-speed data transmission in conjunction with scalability. The next generation optical network has to exploit artificial intelligence and cognitive techniques to cope with the emerging requirements. This work proposes a novel way to solve the dynamic provisioning problem in optical network. The provisioning in optical network involves the computation of routes and the reservation of wavelenghs (Routing and Wavelength assignment-RWA). This is an extensively studied multi-objective optimization problem and its complexity is known to be NP-Complete. As the exact algorithms incurs more running time, the heuristic based approaches have been widely preferred to solve this problem. Recently the software-defined networking has impacted the way the optical pipes are configured and monitored. This work proposes the dynamic selection of path computation algorithms in response to the changing service requirements and network scenarios. A software-defined controller mechanism with a novel packet matching feature was proposed to dynamically match the traffic demands with the appropriate algorithm. A software-defined controller with Path Computation Element-PCE was created in the ONOS tool. A simulation study was performed with the case study of dynamic path establishment in ONOS-Open Network Operating System based software defined controller environment. A java based NOX controller was configured with a parent path computation element. The child path computation elements were configured with different path computation algorithms under the control of the parent path computation element. The use case of dynamic bulk path creation was considered. The algorithm selection method is compared with the existing single algorithm based method and the results are analyzed.

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“…This cost-effectiveness improvement occurs by enabling a more complete exploitation of the signal-to-noise ratios (SNRs) available in diverse and dynamic optical networks [11,12]. For instance, a 16% capacity gain has been observed in a Microsoft cloud network by reducing the granularity from 50 to 25 Gb∕s [19]. New standards like FlexEthernet and FlexOTN, to be discussed in Section VII, provide a 25 Gb∕s service level granularity to take advantage of new modulation methods.…”

Section: Smaller Capacity Granularitymentioning

confidence: 99%

Beyond 100 Gb/s: Capacity, Flexibility, and Network Optimization

Roberts

Zhuge

Monga

et al. 2017

J. Opt. Commun. Netw.

137

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In this paper, we discuss building blocks that enable the exploitation of optical capacities beyond 100 Gb∕s. Optical networks will benefit from more flexibility and agility in their network elements, especially from coherent transceivers. To achieve capacities of 400 Gb∕s and more, coherent transceivers will operate at higher symbol rates. This will be made possible with higher bandwidth components using new electro-optic technologies implemented with indium phosphide and silicon photonics. Digital signal processing will benefit from new algorithms. Multi-dimensional modulation, of which some formats are already in existence in current flexible coherent transceivers, will provide improved tolerance to noise and fiber nonlinearities. Constellation shaping will further improve these tolerances while allowing a finer granularity in the selection of capacity. Frequency-division multiplexing will also provide improved tolerance to the nonlinear characteristics of fibers. Algorithms with reduced computation complexity will allow the implementation, at speeds, of direct pre-compensation of nonlinear propagation effects. Advancement in forward error correction will shrink the performance gap with Shannon's limit. At the network control and management level, new tools are being developed to achieve a more efficient utilization of networks. This will also allow for network virtualization, orchestration, and management. Finally, FlexEthernet and FlexOTN will be put in place to allow network operators to optimize capacity in their optical transport networks without manual changes to the client hardware.

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Elastic Optical Networking in the Microsoft Cloud [Invited]

Cited by 67 publications

References 17 publications

Network Telemetry Streaming Services in SDN-Based Disaggregated Optical Networks

Network Telemetry Streaming Services in SDN-Based Disaggregated Optical Networks

Match Field based Algorithm Selection Approach in Hybrid SDN and PCE Based Optical Networks

Beyond 100 Gb/s: Capacity, Flexibility, and Network Optimization

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