Architecture and implementation of a Frame Aggregation Unit for optical frame-based switching

Kornaros, George; Lautenschlaeger, Wolfram; Sund, Matthias; Leligou, Helen C.

doi:10.1109/fpl.2008.4630028

Cited by 4 publications

(1 citation statement)

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“…A dynamic memory scheme is proposed in [21] to reduce packet loss in frame assembly nodes with limited buffer length. In the proposed scheme, a frame assembly node uses a module, called the packet queue manager (PQM), to adjust the size of each VOQ dynamically according to the traffic distribution.…”

Section: Relevant Workmentioning

confidence: 99%

Frame Assembly and Scheduling on Edge Routers in Fixed-Size Frame-Switching Networks

Zhang

Sun

2012

J. Opt. Commun. Netw.

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Frame assembly is seen as an important technology in future core networks since it can mitigate the ever-increasing packet header processing load on network nodes. Since frame assembly changes the pattern of traffic entering the network, it has a significant impact on such aspects of network performance as packet drop probability and end-to-end delay. This paper focus on the packet drop and delay performance on assembly nodes, sometimes called edge routers. We reveal that frame assembly on edge routers is in fact a tradeoff between packet loss performance and fairness, especially when the input client traffic is non-uniformly distributed among multiple destinations. We evaluate existing frame assembly and scheduling algorithms and try to cope with the assembly and scheduling process holistically by proposing a new algorithm, named highest efficiency fair queuing. Simulation results show that the proposed algorithm provides better performance in terms of delay and jitter, while also minimizing the average packet loss rate. . He serves on panels for four journals and 12 conferences, including IEEE JLT, OFC, APOC. His interests are in optical transport networks with GMPLS control, and optical packet switching. He is the co-author of over 200 peer-reviewed journal and conference papers.

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Section: Relevant Workmentioning

confidence: 99%