TCP/IP illustrated (vol. 1): the protocols
TCP/IP illustrated (vol. 1): the protocols
Network performance effects of HTTP/1.1, CSS1, and PNG
SIGCOMM '97 Proceedings of the ACM SIGCOMM '97 conference on Applications, technologies, architectures, and protocols for computer communication
Modeling the performance of HTTP over several transport protocols
IEEE/ACM Transactions on Networking (TON)
Generating representative Web workloads for network and server performance evaluation
SIGMETRICS '98/PERFORMANCE '98 Proceedings of the 1998 ACM SIGMETRICS joint international conference on Measurement and modeling of computer systems
An Empirical Model of HTTP Network Traffic
INFOCOM '97 Proceedings of the INFOCOM '97. Sixteenth Annual Joint Conference of the IEEE Computer and Communications Societies. Driving the Information Revolution
A Behavioral Model of Web Traffic
ICNP '99 Proceedings of the Seventh Annual International Conference on Network Protocols
Characteristics of WWW Client-based Traces
Characteristics of WWW Client-based Traces
Concepts, services, and protocols of the new GSM phase 2+ general packet radio service
IEEE Communications Magazine
General packet radio service in GSM
IEEE Communications Magazine
Adaptive load control algorithms for 3rd generation mobile networks
MSWiM '02 Proceedings of the 5th ACM international workshop on Modeling analysis and simulation of wireless and mobile systems
Improving quality of service for streaming multimedia applications in ubiquitous mobile environment
Proceedings of the 43rd annual Southeast regional conference - Volume 2
Computer Networks: The International Journal of Computer and Telecommunications Networking
Adaptive Route Optimization in Hierarchical Mobile IPv6 Networks
IEEE Transactions on Mobile Computing
Simulation framework for wireless internet access networks
ICCS'05 Proceedings of the 5th international conference on Computational Science - Volume Part II
Hi-index | 0.00 |
In this paper we examine the effects of Internet traffic on the Quality of Service (QoS) in GPRS wireless networks. With a stochastic source traffic model describing the user behavior, we will derive subjective and objective Quality of Service measures in terms of WWW downloading time and the transmission bandwidths on TCP and TBF level. Comparing the obtained values with wireline network modems and ISDN yields a slowdown factor which indicates the subjective degradation that the wireless user experiences.