Scheduler Accelerator for TDMA Data Centers

Patronas, Ioannis; Gkatzios, Nikolaos; Kitsakis, Vasileios; Reisis, D.; Christodoulopoulos, K.; Varvarigos, Emmanouel

doi:10.1109/pdp2018.2018.00030

Cited by 4 publications

(3 citation statements)

References 13 publications

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“…Extra effort was put to develop scheduling algorithms that would be efficient in large DCNs but also perform fast calculations to enable rapid network reconfiguration [30,41]. The NEPHELE data plane operates in a synchronous slotted time division multiple access (TDMA) manner.…”

Section: Control Plane Overviewmentioning

confidence: 99%

“…Even though this approach ensures maximum utilization of the network's resources, the complexity of the optimal algorithm prohibits real-time execution [30]. In the context of NEPHELE, several scheduling approaches were proposed and evaluated: from linear, sublinear, and randomized greedy heuristics [30] to parallel implementation on FPGAs [41]. Note here that two different resource allocation approaches were proposed [30]: (a) offline and (b) incremental.…”

Section: Control Plane Overviewmentioning

confidence: 99%

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End-to-End Real-Time Demonstration of the Slotted, SDN-Controlled NEPHELE Optical Datacenter Network

et al. 2020

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The NEPHELE hybrid electro-optical datacenter network (DCN) architecture is proposed as a dynamic network solution to provide high capacity, scalability, and cost efficiency in comparison to the existing DCN infrastructures. The details of the NEPHELE DCN architecture and its various key parts are introduced, and the performance of its implementation is evaluated through an end-to-end NEPHELE demonstrator, which was built at the National Technical University of Athens. Several communication scenarios are demonstrated in real time, exploiting a scalable optical data-plane architecture with a software-defined network (SDN) control plane capable of slotted operation for dynamic allocation of network resources. Real-time end-to-end functionality and integration of various software and hardware components are verified in a six-host prototype datacenter cluster.

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Section: Control Plane Overviewmentioning

confidence: 99%

Section: Control Plane Overviewmentioning

confidence: 99%

End-to-End Real-Time Demonstration of the Slotted, SDN-Controlled NEPHELE Optical Datacenter Network

et al. 2020

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“…Such closed-loop operation is inefficient, since the control plane induces high latency, requires tight synchronization of the optical switches with each other and with the scheduler, and has difficulties in following the DC traffic which is rather dynamic with time [3]. In [14], Patronas et al showed that centralized scheduling calculations can be accelerated, but the signaling overhead identifying flows, monitoring, communicating configurations to the optical switches) remains hard to scale.…”

Section: Introductionmentioning

confidence: 99%

Simplifying Optical DCN Fabrics with Blocking Space Switching and Wavelength-Constrained WDM

Kontodimas¹,

Christodoulopoulos²,

Varvarigos³

2020

Optical Network Design and Modeling

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The introduction of all-optical switching in data center interconnection networks (DCN) is key to addressing some of the shortcomings of state-of-the-art electronic switched solutions. Limitations in the port count, reconfiguration speed and cost of optical switches, however, require novel optical switching and DCN designs. We present the concept of a simplified DCN fabric that relies on a lean optical switch design of limited but scalable functionality that offers high reconfiguration speeds, real-time scheduling, efficient control and low equipment cost. To achieve these objectives, the proposed architecture relaxes the usual nonblocking switching requirements but opts for switching modules that are constrained in terms of the achievable space and wavelength input-output configurations. We analytically compare the functionality and complexity of the simplified fabric with those of a non-blocking switch. We evaluate the throughput performance of the simplified DCN fabric and compare it to that of other fabrics with a different level of functionality and centralized control.

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