The number of mobile devices is estimated to now exceed the world’s population, using more and more cloud services, and hence generating more and more traffic. Smartphones generate 95% of the total global handset traffic, and while approximately half of this traffic is sent to cellular networks, other handsets such as tablets are also using increasingly the cellular networks. This paper provides a closer look at the traffic generated on cellular networks by exploring billions of HTTP requests sent by millions of users to a nation-wide cellular network during 41 days. We confirm that - as in many other contexts - 20% of the users are responsible for more than 80% of the requests and provide a deeper analysis of the cellular network usage. Fu...
The proliferation of smartphones and the demand for all-day connectivity has brought exponential gro...
The popularity of mobile devices and the availability of various services over mobile cellular netwo...
International audienceThis paper presents a detailed measurement-driven model of mobile data traffic...
Abstract—Recent technological advances have resulted in a dramatic change in the market shares of ce...
Mobile users demand more and more data traffic, yet network resources are limited. This creates a ch...
Smartphone traffic contributes a considerable amount to Internet traffic. The increasing popularity ...
Smartphone users are increasingly shifting to using apps as “gate-ways ” to Internet services rather...
In this paper, we present a comprehensive characterization of malicious traffic generated by mobile ...
The increasing trend of the traffic demand from mobile users and the presence of limited resources c...
Traffic from wireless and mobile devices is expected to soon exceed traffic from fixed devices. Unde...
Traffic from wireless and mobile devices is expected to soon exceed traffic from fixed devices. Unde...
Traffic from wireless and mobile devices is expected to soon exceed traffic from fixed devices. Und...
This paper presents a large-scale network wide analysis of both user behaviour and network dynamics ...
This paper presents a large-scale network wide analysis of both user behaviour and network dynamics ...
This paper presents a large-scale network wide analysis of both user behaviour and network dynamics ...
The proliferation of smartphones and the demand for all-day connectivity has brought exponential gro...
The popularity of mobile devices and the availability of various services over mobile cellular netwo...
International audienceThis paper presents a detailed measurement-driven model of mobile data traffic...
Abstract—Recent technological advances have resulted in a dramatic change in the market shares of ce...
Mobile users demand more and more data traffic, yet network resources are limited. This creates a ch...
Smartphone traffic contributes a considerable amount to Internet traffic. The increasing popularity ...
Smartphone users are increasingly shifting to using apps as “gate-ways ” to Internet services rather...
In this paper, we present a comprehensive characterization of malicious traffic generated by mobile ...
The increasing trend of the traffic demand from mobile users and the presence of limited resources c...
Traffic from wireless and mobile devices is expected to soon exceed traffic from fixed devices. Unde...
Traffic from wireless and mobile devices is expected to soon exceed traffic from fixed devices. Unde...
Traffic from wireless and mobile devices is expected to soon exceed traffic from fixed devices. Und...
This paper presents a large-scale network wide analysis of both user behaviour and network dynamics ...
This paper presents a large-scale network wide analysis of both user behaviour and network dynamics ...
This paper presents a large-scale network wide analysis of both user behaviour and network dynamics ...
The proliferation of smartphones and the demand for all-day connectivity has brought exponential gro...
The popularity of mobile devices and the availability of various services over mobile cellular netwo...
International audienceThis paper presents a detailed measurement-driven model of mobile data traffic...