By Gabriele Kotsis, Otto Spaniol
ISBN-10: 3540253297
ISBN-13: 9783540253297
This publication constitutes the completely refereed postproceedings of the 1st foreign workshop equipped through the ecu community of Excellence on subsequent new release net, EURO-NGI 2004, held in Dagstuhl fort, Germany in June 2004.
The sixteen revised complete study papers offered have been conscientiously chosen in the course of rounds of reviewing and development. The papers are prepared in topical sections on community and means making plans, medium entry and admission regulate, QoS in instant networks, and community inter-connection and source entry. The publication presents a so much proper presentation of present problems with the following new release net within the quarter of instant communique for cellular users.
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Extra info for Wireless Systems and Mobility in Next Generation Internet: First International Workshop of the EURO-NGI Network of Excellence, Dagstuhl Castle,
Example text
This eventually leads to the bad performance in the Squid scenario if packet losses in the Internet are present. Squid performance can be improved by setting the Apache parameters MaxKeepAliveRequests and KeepAliveTimeout to higher values. Here, we set it to infinity and 150s, respectively. Now, Apache waits much longer before closing any persistent connections. Figures 13 through 16 contain the measured results obtained in the Squid scenario, labeled with increased persistency. Looking at the non-pipelined case, the Squid proxy now behaves as we expect it: the mean loading times are below or about equal to those of the TCP proxy, which is intuitive, since the HTTP proxy can cache content.
In contrast, according to information in [11], Squid does not support pipelined requests towards servers very well. While it accepts pipelined requests from the client side, it transforms them into parallel requests, where no more than two requests from a pipeline can be fetched in parallel. This drawback is reflected in Table 1, since, with pipelining, performance does not improve compared to the non-pipelined case. Table 1. C. Necker, M. Scharf, and A. Weber 9 9 No Proxy TCP Proxy Squid HTTP Proxy 8 5 4 no keep-alive no pipelining 5 4 3 2 1 keep-alive no pipelining keep-alive pipelining Figure 9.
We determine the download time and the activity factor according to the compound distribution. To determine the distribution of the NodeB transmit power, 28 T. Hoßfeld and D. Staehle 400 web page duration [s] 350 300 250 200 150 100 50 0 0 20 40 60 web page activity [%] 80 100 Fig. 5. Web page simulation – Compound distribution for download times and activity factors we generate a system snapshot in regular time intervals. From the compound distribution, each user k obtained an individual activity factor νk .