نتایج جستجو برای: queuing model
تعداد نتایج: 2107524 فیلتر نتایج به سال:
Transcription typing is one of the basic visual-motor control tasks with practical importance. Brain imaging studies (fMRI and PET) have discovered 2 phenomena related to transcription typing, involving different activation patterns of brain areas. In behavioral studies, Salthouse (1986) summarized 29 quantitative behavioral phenomena of transcription typing, 19 of which were modeled by TYPIST ...
Queuing theory provides a theoretical framework for quantitative understanding of the performance of streaming applications. There are questions, however, as to the suitability of queuing models to real applications. Here, we investigate the correspondence between a relatively simple queuing model of an FPGA-accelerated BLAST implementation and empirical measurements taken from executions of th...
Accurate modeling of queueing dynamics is important in the design and analysis of Internet congestion control. However, as demonstrated in this paper, existing window-based queueing models [26,30] are often not capable of precisely capturing the transient behavior (i.e., self-clocking and burstiness) of TCP-like protocols and their resulting analysis may be inaccurate in practice. As one exampl...
Available bandwidth is an important factor that can be used to adapt the sending rate to network conditions, so that packet loss, caused by congestion, can be significantly reduced before error control mechanisms are employed. To this end, we propose an active probing-based queuing delay propagation model (QDPM)-based scheme for available bandwidth estimation. Common assumptions, including use ...
Classical queuing network control strategies typically rely on accurate knowledge of model data, i.e., arrival and service rates. However, such data are not always available may be time-variant. To address this challenge, we consider a class data-independent (MDI) policies that only traffic state observation topology. In article, focus the MDI can stabilize multiclass Markovian networks under c...
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