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Mar 27, 2008 · Lexmark Productivity Studio Easily convert documents to PDFs. Optical Character Recognition (OCR) software allows you to easily scan hard ...

Thus observations on packet loss and other performance measures may stem from sampling errors in particular, smaller traf c intensity due to insuf cient samples in the self-similar case than differences in correlation structure of the inputs How to remedy the problem Cognizance of the problem is necessary, but not suf cient, to address the potential pitfalls of the problem We can consider three approaches: (1) Perform suf cient sampling such that statistics from sample paths approach that of population statistics This is the most straightforward approach The main drawback is that events (eg, lifetime of connections) and performance measurements of interest may occur at time scales signi cantly smaller than that required to reach steady state Also, the sheer sample size and corresponding time requirement put a heavy computational burden on simulation and experimental studies; (2) perform various forms of sample path normalization.



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These range from the old newsgroups to threaded discussion groups where people can submit a question or an opinion and others can offer up an answer or an attitude. These can happen through e-mail only or can be hosted privately, semi-privately, or publicly. Companies can host their own to closely monitor the conversation.

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For example, the traf c intensity lon (bps) during on periods can be varied such that the actual traf c rate matches that of a prespeci ed target This is most suited for open-loop workload generation (eg, CBR or VBR traf c over UDP) The main justi cation of this approach is that lon does not affect the correlation structure of the generated traf c series For closed-loop workload generation, one may vary k such that sample path normalization with respect to rst-order properties is achieved Again, correlation structure or second-order properties are not affected by k This is a heuristic approach and the values of lon and k depend on the sample size and must.

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be empirically calibrated. Since rst-order performance measures such as packet loss rate and average queueing delay are heavily impacted by offered load in some instances dominating the in uence of second-order structure it is pertinent to perform sample path normalization if the effect of correlation structure on performance is to be discerned. The fundamental soundness of this approach, however, requires further investigation. When sample sizes are insuf cient to yield matching sample and population statistics, second-order properties of the generated traf c may be impacted as well. How severe is the sampling problem with respect to secondorder structure Are ``corrections'' viable If a certain number of samples is needed to achieve sample paths with statistics approaching that of the population distribution, what fundamental justi cation is there to allow short-cutting the required sampling process Perhaps long stretches of time where the sample mean of longrange dependent traf c is signi cantly smaller than that of short-range dependent traf c is the natural state of affairs (i.e., with respect to network traf c), during which rst-order properties dominate second-order properties in impacting performance. In the long run, there are bound to be stretches of time where the opposite is true. This is an intrinsic problem with no simple answers; (3) as a continuation of the second approach, the investigation of speed-up methodologies is the subject of rare event simulation [4, 61], where various techniques including extreme value theory, large deviations theory, and importance sampling are employed to establish conditions under which simulation speed-up is possible. In the case of light-tailed distributions, simulation speed-up using importance sampling is well understood; however, the heavy-tailed case is in its infancy and remains a challenge [4].

Systematic, careful monitoring of Internet workloads is a practically important problem. It would be desirable to have a measurement infrastructure that lters, records, and processes workload features at suf cient accuracy, which, in turn, is essential to reliably identifying invariant features and trends in Internet workloads. It is unclear whether there are open research problems related to workload monitoring and measurement instrumentation above and beyond a range of expected engineering issues for example, placement of instrumentation, what to log, ef cient probing (resource overhead, minimally disturb Schrodinger's cat), ef cient storage, synchronization, and so forth. It is possible that there are hidden subtleties but, if so, they await to be uncovered. Given the recent interest in Internet topology, distance map, and ``weather map'' discovery (see, e.g., Francis et al. [26]), integration and coordination of various measurement and estimation related activities may deserve serious consideration. A laissez-faire approach without coordinated efforts may be impeded by protective walls set up by service providers with respect to autonomous systems under private administrative control, which can render certain measurement efforts dif cult or infeasible.

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Oct 24, 2018 · No specific info about version 13.0. Please visit the main page of HP OCR Software I.R.I.S. on Software Informer. Share your experience:.












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