Abstract
Application-perceived throughput plays a major role for the performance of networked applications and user experience and thus, for network selection decisions. To support the latter, this tutorial paper investigates the process of user-perceived throughput in GPRS and UMTS systems seen over rather small averaging intervals, based on test traffic mimicking the needs of streaming applications, and analyzes the results with aid of summary statistics. These results reveal a clear influence of the network, seen from variations and autocorrelation of application-perceived throughput mostly on the one-second time scale and indicate that applications have to cope with significant jitter when trying to exploit the nominal throughputs. In GPRS, the promised average throughputs are not reached in downlink direction; instead, significant packet loss occurs. Furthermore, with aid of causality arguments for an equivalent bottleneck, bounds for the extra delay of the first packet sent via mobile links is derived from throughput measurements.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Fiedler, M., Chevul, S., Isaksson, L., Lindberg, P., Karlsson, J.: Generic Communication Requirements of ITS-Related Mobile Services as Basis for Seamless Communications. In: First EuroNGI Conference on Traffic Engineering, NGI 2005 (2005)
Fiedler, M., Tutschku, A., Carlsson, P., Nilsson, A.: Identification of performance degradation in IP networks using throughput statistics. In: 18th International Teletraffic Congress (ITC-18), pp. 399–407. Elsevier, Amsterdam (2003)
Carlsson, P., Constantinescu, D., Popescu, A., Fiedler, M., Nilsson, A.: Delay performance in IP routers. In: HET-NETs 2004 Performance Modelling and Evaluation of Heterogeneous Networks (2004)
Bettstetter, C., Vogel, H.-J., Eberspächer, J.: GSM Phase 2+, General Packet Radio Service GPRS: architecture, protocols and air interface. IEEE Communications Surveys 2 (1999)
Vranken, R., van der Mei, R., Kooij, R., van den Berg, J.: Flow-level performance models for the TCP with QoS differentiation. In: International Seminar on Telecommunication Networks and Teletraffic Theory, pp. 78–87 (2002)
Charzinski, J.: Fun Factor Dimensioning for Elastic Traffic. In: 13th ITC Specialist Seminar on Internet Traffic Measurement, Modeling and Management (2000)
Ji, Z., Zhou, J., Takai, M., Bagrodia, R.: Scalable simulation of large-scale wireless networks with bounded inaccuracies. In: ACM MSWIM (2004)
Yang, C.C.Z., Luo, H.: Bandwidth measurement in wireless mesh networks. Course Project Report (2005), http://www.crhc.uiuc.edu/~cchered2/pubs.html
Leland, W.-E., Taqqu, M.S., Willinger, W., Wilson, D.V.: On the self-similar nature of Ethernet traffic (extended version). IEEE/ACM Trans. on Netw. 2(1), 1–15 (1994)
Norros, I.: On the use of fractional Brownian motion in the theory of connectionless networks. IEEE JSAC 13(6), 953–962 (1995)
Veres, A., Kenesi, Z., Molnár, S., Vattay, G.: TCP’s role in the propagation of self-similarity in the Internet. Computer Communications, Special Issue on Performance Evaluation of IP Networks 26(8), 899–913 (2003)
Juva, I., Susitaival, R., Peuhkuri, M., Aalto, S.: Traffic characterization for traffic engineering purpose: Analysis of Funet data. In: First EuroNGI Conference on Traffic Engineering, NGI 2005 (2005)
Fiedler, M., Addie, R.G.: Verification and application of a second-order scale symmetry for queueing systems. In: 16th International Teletraffic Congress (ITC-16), pp. 807–816. Elsevier, Amsterdam (1999)
Haßlinger, G., Hartleb, F., Fiedler, M.: The relevance of the bufferless analysis for traffic management in telecommunication networks. In: IEEE European Conference on Universal Multiservice Networks. IEEE, Los Alamitos (2000)
van de Meent, R., Mandjes, M.: Evaluation of ‘user-oriented’ and ‘black-box’ traffic models for link provisioning. In: First EuroNGI Conference on Traffic Engineering, NGI 2005 (2005)
Gunnar, A., Johansson, M., Telkamp, T.: Traffic Matrix Estimation on a Large IP Backbone - A Comparison on Real Data. In: 2004 ACM SIGCOMM Internet Measurement Conference, pp. 149–160. ACM, New York (2004)
Oetiker, T.: The multi router traffic grapher (MRTG), http://www.mrtg.org/
Carlsson, P., Fiedler, M., Tutschku, K., Chevul, S., Nilsson, A.A.: Obtaining reliable bit rate measurements in SNMP-managed networks. In: 15th ITC Specialists Seminar on Traffic Engineering and Traffic Management, pp. 114–123 (2002)
InfoSim GmbH & Co. KG homepage (2005), http://www.infosim.net/
Network Instruments – Protocol Analyzer, Network Protocol Analysis, Monitoring, Management, and Troubleshooting, http://www.networkinstruments.com/
Bolliger, J., Gross, T.: Bandwidth monitoring for network-aware applications. In: 10th IEEE International Symposium on High Performance Distributed Computing, HPDC-10 (2001)
Morris, R., Lin, D.: Variance of aggregated web traffic. In: IEEE INFOCOM 2000, vol. 1, pp. 360–366 (2000)
Fiedler, M., Chevul, S., Radtke, O., Tutschku, K., Binzenhöfer, A.: The network utility function: A practicable concept for assessing network impact on distributed systems. In: 19th International Teletraffic Congress (ITC-19); Technical Report 355, Universität Würzburg (2005)
Fiedler, M., Tutschku, K.: Application of the stochastic fluid flow model for bottleneck identification and classification. In: SCS Conference on Design, Analysis, and Simulation of Distributed Systems (DASD 2003) (2003)
Hoßfeld, T., Tutschku, K., Andersen, F.-U.: Mapping of file-sharing onto mobile environments: Enhancements by UMTS. Technical Report 343, University of Würzburg (2004)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2011 Springer-Verlag Berlin Heidelberg
About this chapter
Cite this chapter
Fiedler, M., Isaksson, L., Lindberg, P. (2011). Measurements and Analysis of Application-Perceived Throughput via Mobile Links. In: Kouvatsos, D.D. (eds) Network Performance Engineering. Lecture Notes in Computer Science, vol 5233. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-02742-0_3
Download citation
DOI: https://doi.org/10.1007/978-3-642-02742-0_3
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-02741-3
Online ISBN: 978-3-642-02742-0
eBook Packages: Computer ScienceComputer Science (R0)