Seeing the Difference in IP Traffic: Wireless Versus Wireline

Ridoux, Julien; Nucci, Antonio; Veitch, Darryl

doi:10.1109/infocom.2006.292

Cited by 27 publications

(18 citation statements)

References 11 publications

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“…Kilpi and Lassila [14] analyze the round-trip times of TCP flow data collected at a GPRS/UMTS network. Ridoux et al [22] collect data from a CDMA2000 network, and compare the similarities and differences with wireline data traffic. The DARWIN+ group [3] collects IP packets at a GPRS/UMTS network, and analyzes various issues such as TCP performance [21] and traffic anomalies [2].…”

Section: Related Workmentioning

confidence: 99%

A Panoramic View of 3G Data/Control-Plane Traffic: Mobile Device Perspective

He¹,

Lee²,

Pan³

et al. 2012

Lecture Notes in Computer Science

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Abstract. 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/controlplane 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.

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Section: Related Workmentioning

confidence: 99%

A Panoramic View of 3G Data/Control-Plane Traffic: Mobile Device Perspective

He¹,

Lee²,

Pan³

et al. 2012

Lecture Notes in Computer Science

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show abstract

“…This tool has been used by many researchers [25], [26], [27], [28] for evaluating their traffic models with respect to the correct reproduction of the scaling structure of the modeled traffic. By comparing the busrtiness of the synthesized and original traffic at a variety of scales, researchers can evaluate how closely their model matches the correlation structure of the modeled network.…”

Section: B Energy and Scaling Behaviormentioning

confidence: 99%

Applying wavelets for the controlled compression of communication network measurements

Kyriakopoulos

Parish

2010

IET Commun.

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“…This approach has been used by many researchers [20], [21], [22], [23] for evaluating their traffic models with respect to the correct reproduction of the scaling structure of the modeled traffic. By comparing the busrtiness of the synthesized and original traffic at a variety of scales, researchers can evaluate how closely their model matches the correlation structure of the modeled network.…”

Section: Energy and Scaling Behaviormentioning

confidence: 99%