In order to improve the use efficiency of university laboratory information resources, strengthen the smooth progress of teaching and research tasks and ensure the reliability of private cloud, this paper proposes a deployment and monitoring scheme of private cloud system with highly reliable software and hardware resources, in which the monitoring scheme is highlighted. Adopt virtualization and other key technologies to ensure the reliability of physical host and virtualized environment. The deployment of a small private cloud platform composed of 6 hosts and equipped with high-capacity storage devices is realized, which can meet the daily teaching and research management needs of teachers and students in the laboratory. Taking ZABBIX as the framework, expand and improve its monitoring function, complete the fault detection and analysis of physical equipment, virtual resources and software applications of private cloud platform, focus on the monitoring of the hardware foundation layer, and realize the reliability monitoring of private cloud platform. The scheme takes the self-built private cloud of small laboratories in colleges and universities as the research subject and the open-source monitoring software as the means to realize the effective utilization and reliability assurance of resources. While meeting the requirements of daily teaching and research tasks of laboratories, the scheme is also applicable to the management and monitoring of self-built cloud of small and medium-sized enterprises.
We propose a low-complexity Distance-Weighted KNN (DW-KNN) algorithm to alleviate the nonlinearity of the visible light orthogonal frequency-division multiplexing (VLC-OFDM) and compare the relationship between peak-to-peak voltage (Vpp) and system performance. Experimental results show that the DW-KNN algorithm can effectively alleviate the nonlinearity in the system. This article improves the general DW-KNN, and the prediction complexity of 64QAM signals is reduced by 86% on the basis of ensuring the performance of the algorithm.
A software-defined hybrid passive optical network (HPON) architecture is proposed, in which multiple PON systems using various physical layer (PHY) multiplexing technologies can coexist. The detailed upstream bandwidth allocation procedure is illustrated, and the dynamic bandwidth allocation mechanism in software-defined HPON is primarily investigated. By introducing the concept of virtual PON (VPON), an elaborate staged priority-based dynamic bandwidth allocation (SPB-DBA) mechanism for inter-VPON is proposed, which consists of a delicate two-stage admission scheme of bandwidth allocation to avoid frequent bandwidth reallocation, and an exquisite weighted bandwidth allocation algorithm to allocate bandwidth for VPONs with priority level and bandwidth demand priority differentiation. The simulation results demonstrate that the SPB-DBA mechanism provides distinctive bandwidth support for VPONs with differentiated priority levels and ensures the access fairness among VPONs. Furthermore, the performances in terms of bandwidth utilization, average satisfaction ratio, and packet average delay are significantly improved.
KEYWORDS: Optical components, Modulators, Signal attenuation, Modulation, Dense wavelength division multiplexing, Digital signal processing, Signal processing, Transparency, Frequency conversion, Signal detection
A digital signal process enabled dual-drive Mach–Zehnder modulator (DD-MZM)-based spectral converter is proposed and extensively investigated to realize dynamically reconfigurable and high transparent spectral conversion. As another important innovation point of the paper, to optimize the converter performance, the optimum operation conditions of the proposed converter are deduced, statistically simulated, and experimentally verified. The optimum conditions supported-converter performances are verified by detail numerical simulations and experiments in intensity-modulation and direct-detection-based network in terms of frequency detuning range-dependent conversion efficiency, strict operation transparency for user signal characteristics, impact of parasitic components on the conversion performance, as well as the converted component waveform are almost nondistortion. It is also found that the converter has the high robustness to the input signal power, optical signal-to-noise ratio variations, extinction ratio, and driving signal frequency.
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