Multicast contention resolution based on time-frequency joint scheduling in elastic optical switching networks

Liu, Huanlin; Li, Yuan; Peng, Han; Huang, Jun; Kong, Deqian

doi:10.1016/j.optcom.2016.09.044

Cited by 9 publications

(1 citation statement)

References 17 publications

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“…For FOS, IQS algorithm will introduce RTT delay between request and grant. In existing resolution for optical packets contention, some schemes for optical packets contention often employ Fiber Delay Lines (FDL) and other additional resources [7], [10], [11]. Optical buffers can handle contention while never prevent contention.…”

Section: Introductionmentioning

confidence: 99%

Assessment of Adaptive Polling Contention Resolution for Optical Switching in Edge Data Center Networking

et al. 2019

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Edge Data Center (EDC) provides delay-sensitive services for end-users in edge computing. In Edge Data Center Network (EDCN), fast optical switching is the most promising technology due to low latency, high bandwidth, and transparency of rate/modulation format. However, packets contention of optical switching causes optical packets loss leading to low throughput and high latency. For buffer-less optical switches, it is challenging to solve packets contention because of lack of backup resources for contended packets. In this article, we propose a contention resolution, Adaptive Polling Contention Resolution (APCR), and assess the throughput, latency, and packet loss performance in DCN. An experimental demonstration based on flow control is implemented to test different contention resolution for the admissible load. The APCR algorithm can be adaptive to different load by buffer occupation status. APCR employs hybrid polling scheme to improve throughput and decrease average latency by global desynchronizing in high load. We assess the proposed algorithm performance in intra-cluster and inter-cluster EDCN. The results show that the proposed APCR can increase throughput by more than 15% and reduce the contention count by 43.72% at 0.4 loads.

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Section: Introductionmentioning

confidence: 99%