Abstract | ||
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We present our proposed ABSENCE system which detects service disruptions in mobile networks using aggregated customer usage data. ABSENCE monitors aggregated customer usage to detect when aggregated usage is lower than expected in a given geographic region (e.g., zip code), across a given customer device type, or for a given service. Such a drop in expected usage is interpreted as a sign of a potential service disruption being experienced in that region/device type/service. ABSENCE effectively deals with users' mobility and scales to detect failures in various mobile services (e.g., voice, data, SMS, MMS, etc). We perform a systematic evaluation of our proposed approach by introducing synthetic failures in measurements obtained from a US operator. We also compare our results with ground truth (real service disruptions) obtained from the mobile operator. |
Year | DOI | Venue |
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2015 | 10.1145/2789168.2790127 | ACM International Conference on Mobile Computing and Networking |
Keywords | Field | DocType |
usage-based failure detection,mobile networks,large scale,operational networks | Computer science,Computer network,Ground truth,Operator (computer programming),Usage data | Conference |
Citations | PageRank | References |
4 | 0.44 | 19 |
Authors | ||
5 |
Name | Order | Citations | PageRank |
---|---|---|---|
Binh Nguyen | 1 | 4 | 0.78 |
Zihui Ge | 2 | 847 | 55.97 |
Jacobus E. Van Der Merwe | 3 | 1706 | 217.92 |
He Yan | 4 | 81 | 5.94 |
Jennifer Yates | 5 | 790 | 64.51 |