光学数据中心网络、光学组件、波长分配方法

本发明提出了一种光学数据中心网络，具有广义k-ary-n-cube拓扑结构，其中所述光学数据中心网络具有n个维度，每个维度具有ki个架顶(ToR)交换机，其中i∈[0，n-1]，k=maxi {ki}是大于等于3的整数，n是大于等于2的整数，多个服务器分别与各自的ToR交换机相连，ToR交换机分别通过各自的光学组件与其他ToR交换机互连。本发明还提出了一种用在上述光学数据中心网络中的光学组件，以及用在上述光学数据中心网络中的波长分配方法。The invention provides an optical data center network which has a generalized k-ary-n-cube topological structure. The optical data center network has n dimensions; each dimension is provided with ki top-of-rack (ToR) switches, wherein i is in the range [0, n-1], k=maxi {ki} is an integer greater than or equal to 3, and n is an integer which is greater than or equal to 2; a plurality of servers are connected with respective ToR switches respectively; each ToR switch is interconnected with other ToR switches through an optical assembly respectively. The invention further provides an optical assembly and a wavelength distribution method both applied in the optical data center network

用于虚拟机迁移的中央控制器和虚拟机迁移方法

本发明提出了一种用于虚拟机迁移的中央控制器，可以包括：获取单元，用于获得网络拓扑、链路带宽信息、和通信业务量信息；和数据流局部化单元，用于根据网络拓扑和当前通信业务量，执行数据流局部化处理，减少流经骨干网络的数据流，得到优化后的虚拟机位置放置方案。位于服务器中的系统管理单元的虚拟机迁移单元可以根据优化后的虚拟机位置放置方案或局部最优的虚拟机位置放置方案，执行虚拟机迁移处理。The invention provides a central control unit used for virtual machine migration. The central control unit can comprise an obtaining unit and a data flow localization unit, wherein the obtaining unit is used for obtaining network topology, link bandwidth information and communication traffic information; and the data flow localization unit is used for executing data flow localization processing, reducing data flow flowing through a backbone network and obtaining an optimized virtual machine position placement scheme according to the network topology and the current communication traffic. A virtual machine migration unit of a system management unit positioned in a server can execute virtual machine migration processing according to the optimized virtual machine position placement scheme or a locally optimized virtual machine position placement scheme

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

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