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New dataset CHESTNUT captures dynamic QoS for mobile edge environments

By PulseAugur Editorial · [1 sources] ·

Researchers have introduced CHESTNUT, a new dataset designed to capture dynamic Quality of Service (QoS) metrics in mobile edge environments. Unlike existing datasets that often focus on static QoS attributes, CHESTNUT meticulously records temporal and geographic location information alongside bandwidth, latency, jitter, and data packet loss. This detailed approach aims to provide more accurate and reliable data for predicting network service performance, which is known to fluctuate based on time and location. AI

RANK_REASON The cluster contains a research paper describing a new dataset. [lever_c_demoted from research: ic=1 ai=0.4]

Read on arXiv cs.LG →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

New dataset CHESTNUT captures dynamic QoS for mobile edge environments

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The cluster contains a research paper describing a new dataset. [lever_c_demoted from research: ic=1 ai=0.4]
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COVERAGE [1]

  1. arXiv cs.LG TIER_1 English(EN) · Guobing Zou, Fei Zhao, Shengxiang Hu ·

    CHESTNUT: A QoS Dataset for Mobile Edge Environments

    arXiv:2410.19248v2 Announce Type: replace Abstract: Quality of Service (QoS) is an important metric to measure the performance of network services. Nowadays, it is widely used in mobile edge environments to evaluate the quality of service when mobile devices request services from…

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