Aug 2026· Asia-Pacific Workshop on Networking· pp. 315-317· 0 citations· 16 references
Computer Science
TL;DR
Quanta is presented, a redundancy-aware simulation framework that eliminates repeated execution in packet-level simulation and reduces the dependence of simulation cost on physical network scale.
Abstract
Packet-level network simulation provides high-fidelity modeling but suffers from severe scalability bottlenecks. Existing scaling approaches remain inefficient for modern data-center and AI-training networks. Spatial parallelism requires substantial hardware resources, while temporal-skipping approaches become less effective under bursty traffic. We observe that homogeneous data-center deployments introduce substantial execution redundancy during simulation. This paper presents Quanta, a redundancy-aware simulation framework that eliminates repeated execution in packet-level simulation. Quanta reduces the dependence of simulation cost on physical network scale. Our evaluation shows that Quanta accelerates large-scale simulations by up to 90 × , synergizes with parallel execution for a 320 × combined speedup.
LST-Sim is presented, an efficient simulator designed for large-scale model training, balancing simulation accuracy and runtime efficiency, and a domain-based traffic management mechanism that integrates theoretical analysis with network simulation to handle different types of communication traffic, thereby improving s...
Siwei Ji, Yihao Sun, Bo Lei et al.· Conference on Applications,...· 0 citations
In the performance evaluation of communication networks, packet-level simulation entails enormous computational costs under conditions such as large-scale networks or numerous communicating flows, leading to issues where execution time exceeds practical limits. In contrast, flow-level simulation, which approximates tra...
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Evaluation results show that, while these mechanisms consume a small amount of link bandwidth, CBFC can greatly reduce receive buffer utilization, and LLR can substantially mitigate network performance degradation caused by packet corruption.
Kefei Liu, Ruixue Wang, Tianrun Jiang et al.· Conference on Applications,...· 1 citation
The proposed Multi-Path Multi-Level Feedback Queueing (MP-MLFQ) leverages the spatial diversity and regularity of DCNs to realize a scheduler with numerous logical priority levels while occupying as low as 2 physical priority queues within network switches.
Alessandro Cornacchia, Andrea Bianco, Paolo Giaccone et al.· 0 citations
Probabilistic state-proportional (PSP) dispatching, a packet-level load balancing algorithm using a Band-based discrete state representation, provides an effective balance among performance, stability, and overhead for artificial intelligence data centers.
Jia-Qi Liu, Chun-Yang Zhang, Heng Pan et al.· IEEE Conference on Local Com...· 0 citations
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