MPCC
| Autor: | Costin Raiciu, Neta Rozen-Schiff, Tomer Gilad, P. Brighten Godfrey, Michael Schapira |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
Access network
Computer science Online learning Reliability (computer networking) Distributed computing 020206 networking & telecommunications Throughput 02 engineering and technology Network congestion Kernel (linear algebra) 020204 information systems Convex optimization 0202 electrical engineering electronic engineering information engineering Multipath propagation |
| Zdroj: | CoNEXT |
| Popis: | Multipath transport, as embodied in MPTCP, is deployed to improve throughput and reliability in mobile and residential access networks, with additional use-cases including spreading load in data centers and WANs. However, MPTCP is fundamentally tied to TCP Reno's legacy AIMD algorithm, and significantly lags behind the performance of modern single-path designs. Consequently, MPTCP fails to achieve high performance in many real-world environments. We present MPCC, a high-performance multipath congestion control architecture. To achieve our combined goals of fairness and high performance in challenging environments, MPCC employs online convex optimization (a.k.a. online learning). In experiments with a kernel implementation on emulated and live networks, MPCC significantly outperforms MPTCP. |
| Databáze: | OpenAIRE |
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