PCOI: Packet Classification‐Based Optical Interconnect for Data Centre Networks

To support cloud services, Data Centre Networks (DCNs) are constructed to have many servers and network devices, thus increasing the routing complexity and energy consumption of the DCN. The introduction of optical technology in DCNs gives several benefits related to routing control and energy efficiency. This paper presents a novel Packet Classification based Optical interconnect (PCOI) architecture for DCN which simplifies the routing process by classifying the packet at the sender rack and reduces energy consumption by utilizing the passive optical components. This architecture brings some key benefits to optical interconnects in DCNs which include (i) routing simplicity, (ii) reduced energy consumption, (iii) scalability to large port count, (iv) packet loss avoidance, and (v) all-to-one communication support. The packets are classified based on destination rack and are arranged in the input queues. This paper presents the input and output queuing analysis of the PCOI architecture in terms of mathematical analysis, the TCP simulation in NS2, and the physical layer analysis by conducting simulation in OptiSystem. The packet loss in the PCOI has been avoided by adopting the input and output queuing model. The output queue of PCOI architecture represents an M/D/32 queue. The simulation results show that PCOI achieved a significant improvement in terms of throughput and low end-to-end delay. The eye-diagram results show that a good quality optical signal is received at the output, showing a very low Bit Error Rate (BER).

[1]  Wolfgang E. Denzel,et al.  Analysis of packet switches with input and output queuing , 1993, IEEE Trans. Commun..

[2]  George Mourgias-Alexandris,et al.  Silicon Photonics towards Disaggregation of Resources in Data Centers , 2018 .

[3]  B. Neel,et al.  SPRINT: Scalable photonic switching fabric for high-performance computing (HPC) , 2012, IEEE/OSA Journal of Optical Communications and Networking.

[4]  S. J. B. Yoo,et al.  Scalable and Distributed Contention Resolution in AWGR-Based Data Center Switches Using RSOA-Based Optical Mutual Exclusion , 2013, IEEE Journal of Selected Topics in Quantum Electronics.

[5]  Dayou Qian,et al.  Design and Evaluation of a Flexible-Bandwidth OFDM-Based Intra-Data Center Interconnect , 2013, IEEE Journal of Selected Topics in Quantum Electronics.

[6]  Anthony Chan Carusone An Equalizer Adaptation Algorithm to Reduce Jitter in Binary Receivers , 2006, IEEE Transactions on Circuits and Systems II: Express Briefs.

[7]  S. R. Moreno,et al.  Statistical analysis of nonlinear optical amplifier in high saturation , 1988 .

[8]  Avinash Karanth Kodi,et al.  Energy-Efficient and Bandwidth-Reconfigurable Photonic Networks for High-Performance Computing (HPC) Systems , 2011, IEEE Journal of Selected Topics in Quantum Electronics.

[9]  Samuel P. Morgan,et al.  Input Versus Output Queueing on a Space-Division Packet Switch , 1987, IEEE Trans. Commun..

[10]  Isabella Cerutti,et al.  Energy-Efficient Design of a Scalable Optical Multiplane Interconnection Architecture , 2011, IEEE Journal of Selected Topics in Quantum Electronics.

[11]  Yonggang Wen,et al.  Flexible interconnection of scalable systems integrated using optical networks (FISSION) data-center—concepts and demonstration , 2017, IEEE/OSA Journal of Optical Communications and Networking.

[12]  H. Jonathan Chao,et al.  A Petabit Bufferless Optical Switch for Data Center Networks , 2013 .

[13]  Ming C. Wu,et al.  Diffraction-Based Optical Switching with MEMS , 2017 .

[14]  A. V. Rylyakov,et al.  Transmitter Predistortion for Simultaneous Improvements in Bit Rate, Sensitivity, Jitter, and Power Efficiency in 20 Gb/s CMOS-Driven VCSEL Links , 2012, Journal of Lightwave Technology.

[15]  Bey-Chi Lin,et al.  Generalization of an Optical ASA Switch , 2019, Applied Sciences.

[16]  Dionysios I. Reisis,et al.  NEPHELE: An End-to-End Scalable and Dynamically Reconfigurable Optical Architecture for Application-Aware SDN Cloud Data Centers , 2018, IEEE Communications Magazine.