A New Distributed Admission Control Based on Token Passsing

為了能提供良好的服務品質(QoS)以因應日漸重要的即時性與互動性的網路服務，整合式服務(IntServ)的出現使得頻寬保證服務(Guaranteed Service)的要求得以實現，但為了解決其最大的缺點-可擴性(Scalability)的問題，差異式服務(DiffServ)因而產生。由於差異式服務在網域內部各節點不需維持其上所傳資料流狀態資訊的服務架構(Core Stateless)，得以解決可擴性的問題，加上它亦能提供相當的服務品質，使得這種服務架構成為日後發展的一種主流。但在此服務架構下為求提供更嚴格的服務品質時，以往的允入控制(Admission Control)方法有著嚴重的瑕疵。 使用訊標分散式允入控制法(Distributed Admission Control Based on Token Passing)能達到嚴格要求的頻寬保證，並且有著不錯的效能。而本論文修改其中的方法，提出一個新的訊標分散式允入控制法(A New Distributed Admission Control Based on Token Passing)，改善對於頻寬的利用率，並且使之能更合乎現實網路狀況的環境。More and more applications need real-time and interactive service in the current network. For this reason, InterServ is a prominent architecture to support Qos (Quality of Service) and provide guaranteed service in Internet but it is not scalable. DiffServ is scalable because it does not maintain per-flow states in core router (Core Stateless) but it can not guarantee strict QoS. Admission control methods proposed to support guaranteed service in core stateless network have significant drawback. Distributed Admission Control Based on Token Passing is a good way which can provide guaranteed service. Therefore, modify original method becomes our A New Distributed Admission Control Based on Token Passing is proposed to improve utilization of links' bandwidth and to survive in real networks.摘要 Abstract 目錄 圖目錄 第一章 序論 第一節 研究背景 第二節 研究動機 第三節 研究目的 第四節 論文架構 第二章 文獻探討 第一節 基本的允入控制(Basic Admission Control) 1.1 傳統允入控制 (Traditional Admission Control) 1.2 量測式允入控制(Measurement-Based Admission Control) 第二節 端點式允入控制(Endpoint Admission Control) 2.1 集中式允入控制(Centralized Admission Control) 2.2 分散式允入控制(Distributed Admission Control) 第三章 一個新的訊標分散式允入控制法(A New Distributed Admission Control Based on Token Passing) 第一節 基本架構 第二節 計算公平分享的方法 第三節 支援保證頻寬的服務 第四節 我們提出的訊標分散式允入控制演算法 第五節 特點的探討 第四章 模擬 第一節 簡單的單一Link拓撲 (Simple Single Link Topology) 第二節 模擬結果 第五章 結論與未來方向 第一節 結論 第二節 未來方向 參考文

Prediction of Energy Resolution in the JUNO Experiment

International audienceThis paper presents the energy resolution study in the JUNO experiment, incorporating the latest knowledge acquired during the detector construction phase. The determination of neutrino mass ordering in JUNO requires an exceptional energy resolution better than 3% at 1 MeV. To achieve this ambitious goal, significant efforts have been undertaken in the design and production of the key components of the JUNO detector. Various factors affecting the detection of inverse beta decay signals have an impact on the energy resolution, extending beyond the statistical fluctuations of the detected number of photons, such as the properties of liquid scintillator, performance of photomultiplier tubes, and the energy reconstruction algorithm. To account for these effects, a full JUNO simulation and reconstruction approach is employed. This enables the modeling of all relevant effects and the evaluation of associated inputs to accurately estimate the energy resolution. The study reveals an energy resolution of 2.95% at 1 MeV. Furthermore, the study assesses the contribution of major effects to the overall energy resolution budget. This analysis serves as a reference for interpreting future measurements of energy resolution during JUNO data taking. Moreover, it provides a guideline in comprehending the energy resolution characteristics of liquid scintillator-based detectors

JUNO Sensitivity on Proton Decay p→νˉK+p\to \bar\nu K^+ Searches

The Jiangmen Underground Neutrino Observatory (JUNO) is a large liquid scintillator detector designed to explore many topics in fundamental physics. In this paper, the potential on searching for proton decay in $p\to \bar\nu K^+$ mode with JUNO is investigated.The kaon and its decay particles feature a clear three-fold coincidence signature that results in a high efficiency for identification. Moreover, the excellent energy resolution of JUNO permits to suppress the sizable background caused by other delayed signals. Based on these advantages, the detection efficiency for the proton decay via $p\to \bar\nu K^+$ is 36.9% with a background level of 0.2 events after 10 years of data taking. The estimated sensitivity based on 200 kton-years exposure is $9.6 \times 10^{33}$ years, competitive with the current best limits on the proton lifetime in this channel

JUNO sensitivity on proton decay p → ν K + searches*

The Jiangmen Underground Neutrino Observatory (JUNO) is a large liquid scintillator detector designed to explore many topics in fundamental physics. In this study, the potential of searching for proton decay in the $p\to \bar{\nu} K^+$ mode with JUNO is investigated. The kaon and its decay particles feature a clear three-fold coincidence signature that results in a high efficiency for identification. Moreover, the excellent energy resolution of JUNO permits suppression of the sizable background caused by other delayed signals. Based on these advantages, the detection efficiency for the proton decay via $p\to \bar{\nu} K^+$ is 36.9% ± 4.9% with a background level of $0.2\pm 0.05({\rm syst})\pm$$0.2({\rm stat})$ events after 10 years of data collection. The estimated sensitivity based on 200 kton-years of exposure is $9.6 \times 10^{33}$ years, which is competitive with the current best limits on the proton lifetime in this channel and complements the use of different detection technologies

Determination of the number of ψ(3686) events taken at BESIII

The number of ψ(3686) events collected by the BESIII detector during the 2021 run period is determined to be (2259.3±11.1)×106 by counting inclusive ψ(3686) hadronic events. The uncertainty is systematic and the statistical uncertainty is negligible. Meanwhile, the numbers of ψ(3686) events collected during the 2009 and 2012 run periods are updated to be (107.7±0.6)×106 and (345.4±2.6)×106, respectively. Both numbers are consistent with the previous measurements within one standard deviation. The total number of ψ(3686) events in the three data samples is (2712.4±14.3)×10^