Experience
| Autor: | Jinghao Zhao, Chunyi Peng, Qianru Li, Zhehui Zhang, Haotian Deng, Zhaowei Tan, Songwu Lu, Yuanjie Li, Boyan Ding, Kai Ling, Hewu Li, Yunqi Guo |
|---|---|
| Rok vydání: | 2021 |
| Předmět: |
Finite-state machine
SIMPLE (military communications protocol) business.industry Computer science Inference 020206 networking & telecommunications 02 engineering and technology Missing data Data science Analytics 0202 electrical engineering electronic engineering information engineering Cellular network 020201 artificial intelligence & image processing business |
| Zdroj: | MobiCom |
| Popis: | This paper reports our five-year lessons of developing and using MobileInsight, an open-source community tool to enable software-defined full-stack, runtime mobile network analytics inside our phones. We present how MobileInsight evolves from a simple monitor to a community toolset with cross-layer analytics, energy-efficient real-time user-plane analytics, and extensible user-friendly analytics at the control and user planes. These features are enabled by various novel techniques, including cross-layer state machine tracking, missing data inference, and domain-specific cross-layer sampling. Their powerfulness is exemplified with a 5-year longitudinal study of operational mobile network latency using a 6.4TB dataset with 6.1 billion over-the-air messages. We further share lessons and insights of using MobileInsight by the community, as well as our visions of MobileInsight's past, present, and future. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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