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Minimizing the flow completion times (FCTs) is a challenging work in information-agnostic datacenter networks, and a general approach is to configure multiple demotion thresholds so as to decrease the priorities of long flows, which can alleviate the impact on short flows, but how to appropriately set up these thresholds has not been addressed. In this paper, we firstly employ a queuing model to analyze...
Bacillus natto is commonly used in industrial production of menaquinone-7, an important vitamin which plays a crucial role for blood clotting and may contribute to prevention of cardiovascular disease and osteoporosis. This study determined the optimal combination of key nutrients and established an effective use of surfactant in a coupling medium to enhance the yield of extracellular MK-7. MK-7 yield...
Traditional data-driven prognostics often requires a large amount of failure data for the offline training in order to achieve good accuracy for the online prediction. However, in many engineered systems, failure data are fairly expensive and time-consuming to obtain while suspension data are readily available. In such cases, it becomes essentially critical to utilize suspension data, which may carry...
Cognitive radio makes it possible for an unlicensed user to access a licensed spectrum opportunistically on the basis of non-interfering. This paper addresses the problem of joint route selection and resource allocation in OFDMA-based multihop cognitive radio networks, in the objective of optimizing different types of end-to-end performance. Aiming to solve it optimally, we first show that this problem...
Identification of various P2P flows accurately is fundamental for network management. To obtain P2P flow information in real-time and low price, a distributed extensible architecture for P2P flows identification called DEAPFI is proposed. DEAPFI decentralizes functions of flow identification and statistic on different PC, which is composed of identification system (IS) and statistic system (SS) respectively...
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