نتایج جستجو برای: random early detection
تعداد نتایج: 1460586 فیلتر نتایج به سال:
In this paper, we propose a first-order discrete model for random early detection (RED) with nonlinearity, focusing on the average queue size in router. The RED is representative router-based algorithm congestion control. Congestion avoided by discarding packets at using packet drop probability function and RED. Our proposed replaces linear of original nonlinear can continuously change nonlinea...
| Random Early Marking (REM) consists of a link algorithm, that probabilistically marks packets inside the network, and a source algorithm, that adapts source rate to observed marking. The marking probability is exponential in a link congestion measure, so that the end{to{end marking probability is exponential in a path congestion measure. Marking allows a source to estimate its path congestion...
Introduction: breast cancer, as the most common cancer among women, is controllable if it is diagnosed at the early stages. Breast self- examination is a simple method for early detection. One of the most important effective factors on the cancer-related mortality is the defection stage. This study was conducted to determine the relationship between breast self-examination and the disease stage...
The current study is focused on determining the mRNA expression levels of tetranectin, to detect oral squamous cell carcinoma (OSCC) and thus aiding in its classification at an early stage. RNA was isolated and cDNA synthesis was performed from the saliva samples of the patients and healthy individuals. A semiquantitative PCR based analysis was performed prior to quantitative and expression bas...
Network operators increasingly focus their attention on fulfilling the expectations of quality of experience (QoE) for the delivery of video services to their users. Therefore, it is important to analyze the correlation between objective and subjective QoE metrics such as PSNR (Peak Signal Noise Ratio), SSIM (Structural Similarity Index Metric), VQM (Video Quality Metric), and MOS (Mean Opinion...
Abstract—A Particle Swarm optimized Fuzzy Logic Congestion Detection (FLCD) was recently proposed for best-effort service networks. This algorithm synergically combines the good characteristics of traditional Active Queue Management (AQM) algorithms and fuzzy logic based AQM algorithms. Its membership functions are designed automatically by using a Multi-objective Particle Swarm Optimization (M...
Declines in cervical cancer incidence and mortality reported in the United States since the 1950s have been attributed to early detection and treatment of precancerous and cancerous lesions through the use of the Papanicolaou (Pap) test (1). More than 50 million Pap tests are performed each year (2); however, guidelines about the frequency of testing in women with a history of normal test resul...
Congestion control mechanisms play a important role in today’s Internet, since network environments are geting more and more complicated. Besides, new applications request diverse services delivered by the network. Random Early Detection (RED) provides an efficient and low-overhead mechanism to effectively control congestion. Nevertheless, RED would slow down TCP senders’ reaction to change of ...
Random Early Detection (RED) is an active queue management mechanism designed to provide better performance than traditional DropTail. However, its parameter setting has proved to be very sensitive to network scenarios and needs constant tuning to achieve ideal performance under varying network conditions. In view of the fact that RED has not been understood well enough for an analytical approa...
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