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[41] Czajkowski, K, Foster, I, Karonis, N, Kesselman, C, Martin, S, Smith, W and Tuecke, S (1998) A Resource Management Architecture for Metacomputing Systems Proceedings of IPPS/SPDP 98 Workshop on Job Scheduling Strategies for Parallel Processing, pp 62 82, Orlando, FL, USA Lecture Notes in Computer Science, Springer-Verlag [42] Condor, http://wwwcswiscedu/condor/ [43] Sun Grid Engine, http://wwwssuncom/software/Gridware/ [44] LSF, http://wwwplatformcom/products/LSF/ [45] PBS, http://wwwopenpbsorg/ [46] GT3 Index Service, http://wwwglobusorg/ogsa/releases/ nal/docs/ infosvcs/indexsvc_overviewhtml [47] GT3 RFT, http://www-unixglobusorg/toolkit/docs/32/rft/key/indexhtml [48] GridFTP, http://wwwglobusorg/dataGrid/Gridftphtml [49] Apache Ant, http://antapacheorg/ [50] OGSA-DAI, http://wwwogsadaiorguk/ [51] DAIS, http://wwwGridforumorg/6_DATA/daishtm [52] Frey, J, Graham, S, Czajkowski, K, Ferguson, DF, Foster, I, Leymann, F, Maguire, T, Nagaratnam, N, Nally, M, Storey, T.

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Incidentally, the serial number HHHHHHHHHHHHH (13 Hs) would also work (but this way was much more fun).

The Likert scale is used to measure subjective issues such as attitudes, perceptions, and values. It uses a scale of statements that respondents may choose from.

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, Sedukhin, I, Snelling, D, Tuecke, S, Vambenepe, W and Weerawarana, S (March 2004) Web Services Resource Lifetime, Version 11, http://www-106ibmcom/ developerworks/library/ws-resource/ws-resourcelifetimepdf [53] Graham, S, Czajkowski, K, Ferguson, DF, Foster, I, Frey, J, Leymann, F, Maguire, T, Nagaratnam, N, Nally, M, Storey, T, Sedukhin, I, Snelling, D, Tuecke, S, Vambenepe, W and Weerawarana, S (March 2004) Web Services Resource Properties, Version 11, http://www-106ibmcom/ developerworks/library/ws-resource/ws-resourcepropertiespdf [54] Web Services Noti cation, http://www-106ibmcom/developerworks/ library/speci cation/ws-noti cation/ [55] Graham, S, Niblett, P, Chappell, D, Lewis, A, Nagaratnam, N, Parikh, J, Patil, S, Samdarshi, S, Sedukhin, I, Snelling, D, Tuecke, S, Vambenepe, W and Weihl, B (March 2004) Web Services Base Noti cation, Version 10, ftp://www6.

# set set user mode instruction pointer in exploit code pushl $0x00000000 # empty slot for ring3 %eip iret

softwareibmcom/software/developer/library/ ws-noti cation/WS-BaseNpdf [56] Graham, S, Niblett, P, Chappell, D, Lewis, A, Nagaratnam, N, Parikh, J, Patil, S, Samdarshi, S, Sedukhin, I, Snelling, D, Tuecke, S, Vambenepe, W and Weihl, B (March 2004) Web Services Brokered Noti cation, Version 10, ftp://www6softwareibmcom/software/developer/library/ ws-noti cation/WS-BrokeredNpdf [57] Graham, S, Niblett, P, Chappell, D, Lewis, A, Nagaratnam, N, Parikh, J, Patil, S, Samdarshi, S, Sedukhin, I, Snelling, D, Tuecke, S, Vambenepe, W and Weihl, B (2004) Web Services Topics, Version 10, ftp://www6softwareibmcom/software/developer/library/ws-noti cation/ WS-Topicspdf [58] Tuecke, S, Czajkowski, K, Frey, J, Foster, I, Graham, S, Maguire, T, Sedukhin, I, Snelling, D and Vambenepe, W (March 2004) Web Services Base Faults, Version 1.

Parameter Fit and Simulation Results In this paragraph we present the t for the parameters which we de ned for the traf c model. A UDP packet has an upper limit de ned by the Maximum Transfer Unit (MTU); therefore, we are not required to search for heavy tailed behaviour. Table 15.1 shows the best MLE ts for the packet size and interarrival times. The respawn timeout and the time between two consecutive levels were set to discrete values according to the observed mean value from the trace. Figure 15.5 displays two ecdfs for the uplink data rate, the measured data in solid and the ns-2 simulation result in dashed. For this graph we simulated one gaming session of 15 min. We realize that the model produces an ecdf similar to the empirical data we measured. Concluding the UT 99 traf c model we learned that this FPS has different states and each of them has different traf c patterns. As the application uses UDP as a transport protocol the traf c can be modelled simply by tting size and interarrival time of the packets to an analytical distribution. The output from our ns-2 implementation yielded results close to the empirical data. As we did not have access to the source code in order to understand the origin of the correlation in up- and downlink, such correlation was not taken into account.

invokes its search heuristics. It looks in the target s last known directory to find a file with a different name but with the same attributes and filecreation time. If it isn t successful, it recursively searches subdirectories for a file with the target s name and creation date. If still not successful, it looks on the desktop and other local volumes. Search heuristics take a long time and are not very dependable. Whenever you use search heuristics to resolve a link, you must double-check the result manually. To avoid search heuristics, use the NOSEARCH flag.

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