Title | ||
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Wireless network instabilities in the wild: Prevalence, App (non)resilience, and OS remedy |
Abstract | ||
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While the bandwidth and latency improvement of both WiFi and cellular data networks in the past decade are plenty evident, the extent of signal strength fluctuation and network disruptions (unexpected switching or disconnections) experienced by mobile users in today's network deployment remains less clear. This paper makes three contributions. First, we conduct the first extensive measurement of network disruptions and signal strength fluctuations (together denoted as instabilities) experienced by 2000 smartphones in the wild. Our results show that network disruptions and signal strength fluctuations remain prevalent as we moved into the 4G era. Second, we study how well popular mobile apps today handle such network instabilities. Our results show that even some of the most popular mobile apps do not implement any disruption-tolerant mechanisms. Third, we present JANUS, an intelligent interface management framework that exploits the multiple interfaces on a handset to transparently handle network disruptions and improve apps' QoE. We have implemented JANUS on Android and our evaluation using a set of popular apps shows that Janus can (1) transparently and efficiently handle network disruptions, (2) reduce video stalls by 2.9 times and increase 31% of the time of good voice quality compared to naive solutions. |
Year | DOI | Venue |
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2017 | 10.1109/ICNP.2017.8117568 | 2017 IEEE 25th International Conference on Network Protocols (ICNP) |
Keywords | Field | DocType |
signal strength fluctuation,disruption-tolerant mechanisms,wireless network instabilities,cellular data networks,App resilience,WiFi,mobile apps,network disruption measurement,smartphones,4G,JANUS,intelligent interface management framework,QoE,Android | Mobile computing,Wireless network,Android (operating system),Latency (engineering),Computer science,Computer network,Exploit,Bandwidth (signal processing),Handset,Mobile telephony,Distributed computing | Conference |
ISSN | ISBN | Citations |
1092-1648 | 978-1-5090-6502-8 | 0 |
PageRank | References | Authors |
0.34 | 26 | 8 |
Name | Order | Citations | PageRank |
---|---|---|---|
Zeqi Lai | 1 | 71 | 11.17 |
Yong Cui | 2 | 906 | 94.36 |
Yimin Jiang | 3 | 0 | 1.01 |
Xiaomeng Chen | 4 | 214 | 11.18 |
Y. Charlie Hu | 5 | 3357 | 181.75 |
Kun Tan | 6 | 1350 | 98.64 |
Minglong Dai | 7 | 0 | 0.34 |
Kai Zheng | 8 | 865 | 50.05 |