Bottleneck detection in UMTS via TCP passive monitoring: a real case
CoNEXT '05 Proceedings of the 2005 ACM conference on Emerging network experiment and technology
Dynamic application-layer protocol analysis for network intrusion detection
USENIX-SS'06 Proceedings of the 15th conference on USENIX Security Symposium - Volume 15
MapReduce: simplified data processing on large clusters
Communications of the ACM - 50th anniversary issue: 1958 - 2008
On the detection of signaling DoS attacks on 3G/WiMax wireless networks
Computer Networks: The International Journal of Computer and Telecommunications Networking
A distribution-based approach to anomaly detection and application to 3G mobile traffic
GLOBECOM'09 Proceedings of the 28th IEEE conference on Global telecommunications
Anatomizing application performance differences on smartphones
Proceedings of the 8th international conference on Mobile systems, applications, and services
Proceedings of the 8th international conference on Mobile systems, applications, and services
Characterizing radio resource allocation for 3G networks
IMC '10 Proceedings of the 10th ACM SIGCOMM conference on Internet measurement
A first look at traffic on smartphones
IMC '10 Proceedings of the 10th ACM SIGCOMM conference on Internet measurement
A first look at mobile hand-held device traffic
PAM'10 Proceedings of the 11th international conference on Passive and active measurement
A comparative study of handheld and non-handheld traffic in campus Wi-Fi networks
PAM'11 Proceedings of the 12th international conference on Passive and active measurement
Identifying diverse usage behaviors of smartphone apps
Proceedings of the 2011 ACM SIGCOMM conference on Internet measurement conference
Micro- and macroscopic analysis of RTT variability in GPRS and UMTS networks
NETWORKING'06 Proceedings of the 5th international IFIP-TC6 conference on Networking Technologies, Services, and Protocols; Performance of Computer and Communication Networks; Mobile and Wireless Communications Systems
Characterization of 3G control-plane signaling overhead from a data-plane perspective
Proceedings of the 15th ACM international conference on Modeling, analysis and simulation of wireless and mobile systems
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Users can access the Internet via 3G/4G cellular data networks using various types of user devices (e.g., smartphones, tablets, datacards). We conduct a detailed measurement study on the impact of different device types on the data/control-plane performance of a commercial, city-wide 3G cellular data network in China. We present a methodology that correlates different data/control-plane datasets collected at different points in the network core, and identify more than 60K devices of different types per day on average. For the devices we identify, we investigate how their commonly used Internet applications and internal heartbeat mechanisms lead to distinct data/control-plane behaviors. For example, we observe that datacard devices contribute a large volume of IP traffic in the data plane, while smartphones introduce significant resource overhead in the signaling control plane. Our measurement study provides insights for network operators to strategize pricing and resource allocation for the data/control planes of their cellular data networks with regard to the market penetrations of various device types.