Virtual 5G Network Embedding in a Heterogeneous and Multi-Domain Network Infrastructure

The pursuit of the higher performance mobile communications forces the emergence of the fifth generation mobile communication(5G). 5G network, integrating wireless and wired domain, can be qualified for the complex virtual network work oriented to the cross-domain requirement. In this paper, we focus on the multi-domain virtual network embedding in a heterogeneous 5G network infrastructure, which facilitates the resource sharing for diverse-function demands from fixed/mobile end users. We proposed the mathematical ILP model for this problem.And based on the layered-substrate-resource auxiliary graph and an effective six-quadrant service-type-judgment method, 5G embedding demands can be classified accurately to match different user access densities. A collection of novel heuristic algorithms of virtual 5G network embedding are proposed. A great deal of numerical simulation results testified that our algorithm performed better in terms of average blocking rate, routing latency and wireless/wired resource utilization, compared with the benchmark.

Modelling Conceptual Framework for Private Cloud Infrastructure Deployment in the ICT Centre of Tertiary Institutions

This research work aims at modelling a framework for Private Cloud infrastructure Deployment for Information and Communication Technology Centres (ICTs) in tertiary institutions in Nigeria. Recent researches have indicated that cloud computing will become the mainstream in computing technology and very effective for businesses. All Tertiary Institutions have ICT units, and are generally charged with the responsibilities of deploying ICT infrastructure and services for administration, teaching, research and learning in higher institution at large. The Structured System Analysis and Design Methodology (SSADM) is used in this research and a six-step framework for a cost effective and scalable Private cloud infrastructure using server virtualization is presented as an alternative that can guarantee total and independent control of data flow in the institutions, while ensuring adequate security of vital information.

Architecture of HLA Based Distributed Virtual Geographic Environment

Integrating the theory of distributed virtual geographic environment (DVGE) and high level architecture(HLA), the architecture of DVGE based on HLA is designed. The data flow and the object models of the architecture are also discussed. The architecture basically meets the need of DVGE in real-time communication, distribution, collaboration, reusing and interoperation, expansion, and standard.

Partner Selection Analysis and System Development Based on Gray Relation Analysis for an Agile Virtual Enterprise

This paper analyzes the state of the art of partner selection and enumerates the advantage of partner selection based on gray relation analysis comparing to the other algorithms of the partner selection. Furthermore, partner selection system based on gray relation for an Agile Virtual Enterprise（AVE） is analyzed and designed based on the definition and characteristics of the AVE. According to J2EE mode, the architecture of the partner selection system is put forward and the system is developed t^ing JSP, EJB and SQL Server. The paper lays emphasis on a gray relational mathematic model, AVE evaluation infrastructure, a core algorithm of partner selection and a multi-layer gray relation selection process.

基于车路协同技术的超高速公路虚拟轨道系统研究

为保障超高速公路行车安全,论证虚拟轨道系统在超高速公路上应用的可行性,以车路协同技术为基础,搭建了超高速公路虚拟轨道系统模型。通过建立实时车辆动态坐标系,结合车辆偏离安全区域,计算出车辆横向偏转角度阈值;利用定位系统和路侧单元检测系统,研究了微波测距模块采样频率和安装间距随车速变化的情况。结果表明:在虚拟轨道单侧安全区域为10 cm时,小型两厢车、小型三厢车、中型车、中大型车、大型车车辆横向偏转的最大安全角度范围分别是1.43°~1.59°、1.30°~1.40°、1.22°~1.33°、1.17°~1.25°、1.10°~1.20°;当车辆行驶速度为180 km/h时,路侧单元传感器的采样频率高于27.72 Hz,传感器的安装距离小于6.87 m时可满足要求。

虚拟集聚对区域创新能力的影响研究--基于虚实融合视角

创新是引领发展的第一动力。数字经济的蓬勃发展催生了虚拟集聚,这一新型空间组织形态也为区域创新能力的提高带来了新契机。本研究基于2013—2022年的面板数据,以我国东、中、西部地区29个省级行政区为研究对象,在对虚拟集聚水平、区域创新能力等相关变量进行测度后,通过构建相应的计量模型实证检验虚拟集聚对区域创新能力的影响机理。研究发现,在给定假设下,虚拟集聚的发展对地区创新能力起到差异性的促进作用。进一步的机理分析发现,虚拟集聚可以通过提升地区数字基础设施建设水平,进而促进地区经济创新能力的提高。最后,根据所得研究结论提出了发展虚拟集聚以促进我国地区创新能力的针对性政策建议。

面向车-路-图协同的分布式自动驾驶仿真平台架构及应用

为解决车路图协同仿真环境下的单机式测试平台效率低下、系统可扩展性不足的问题,本文提出了一种面向车-路-图协同的分布式自动驾驶仿真平台架构,并将该平台命名为VIMS(vehicle-infrastructure-map system)。VIMS平台以CARLA作为虚拟仿真引擎,通过引入真实高精地图,接入驾驶模拟器、信号机等硬件在环设备,形成了虚实结合的交通场景;考虑功能的交互作用,VIMS平台分为主世界、智能车、智能路侧和高精地图4个模块,采用ROS分布式架构实现模块内部的相对独立和模块间的互联互通;考虑到平台的计算可靠性与可用性,采用分布式计算实现4个模块间的独立计算。通过车道保持和车路图协同定位算法为例进行应用验证,通过平台实现了数据采集、传输和算法的验证测试与评价,结果表明,本文所提出的平台可以实现车、路、图协作的实时仿真,保证模块的有机运行,系统架构可扩展性高。

创新基础设施建设提升制造业出口技术复杂度的机制与路径

创新基础设施建设是制造业转型升级的“助推器”,也是中国提升出口技术复杂度的强力支撑。从理论层面阐释了创新基础设施建设对提升制造业出口技术复杂度的影响,并以2012—2022年中国30个省份(不含西藏、香港地区、澳门地区和台湾地区)的面板数据为样本,实证检验了其作用机制与路径。结论如下:创新基础设施建设能通过技术溢出效应和竞争效应提升制造业出口技术复杂度,该结论经过多重稳健性检验依然成立;行业异质性检验结果表明,相较于中、低端技术制造业,高端技术制造业出口技术复杂度的提升受创新基础设施建设影响更为显著;中介效应结果表明,创新基础设施建设能够通过促进技术创新和虚拟集聚提升制造业出口技术复杂度。

Security Monitoring and Management for the Network Services in the Orchestration of SDN-NFV Environment Using Machine Learning Techniques

Software Defined Network(SDN)and Network Function Virtualization(NFV)technology promote several benefits to network operators,including reduced maintenance costs,increased network operational performance,simplified network lifecycle,and policies management.Network vulnerabilities try to modify services provided by Network Function Virtualization MANagement and Orchestration(NFV MANO),and malicious attacks in different scenarios disrupt the NFV Orchestrator(NFVO)and Virtualized Infrastructure Manager(VIM)lifecycle management related to network services or individual Virtualized Network Function(VNF).This paper proposes an anomaly detection mechanism that monitors threats in NFV MANO and manages promptly and adaptively to implement and handle security functions in order to enhance the quality of experience for end users.An anomaly detector investigates these identified risks and provides secure network services.It enables virtual network security functions and identifies anomalies in Kubernetes(a cloud-based platform).For training and testing purpose of the proposed approach,an intrusion-containing dataset is used that hold multiple malicious activities like a Smurf,Neptune,Teardrop,Pod,Land,IPsweep,etc.,categorized as Probing(Prob),Denial of Service(DoS),User to Root(U2R),and Remote to User(R2L)attacks.An anomaly detector is anticipated with the capabilities of a Machine Learning(ML)technique,making use of supervised learning techniques like Logistic Regression(LR),Support Vector Machine(SVM),Random Forest(RF),Naïve Bayes(NB),and Extreme Gradient Boosting(XGBoost).The proposed framework has been evaluated by deploying the identified ML algorithm on a Jupyter notebook in Kubeflow to simulate Kubernetes for validation purposes.RF classifier has shown better outcomes(99.90%accuracy)than other classifiers in detecting anomalies/intrusions in the containerized environment.

Hybrid Prairie Dog and Beluga Whale Optimization Algorithm for Multi-Objective Load Balanced-Task Scheduling in Cloud Computing Environments

The cloud computing technology is utilized for achieving resource utilization of remotebased virtual computer to facilitate the consumers with rapid and accurate massive data services.It utilizes on-demand resource provisioning,but the necessitated constraints of rapid turnaround time,minimal execution cost,high rate of resource utilization and limited makespan transforms the Load Balancing(LB)process-based Task Scheduling(TS)problem into an NP-hard optimization issue.In this paper,Hybrid Prairie Dog and Beluga Whale Optimization Algorithm(HPDBWOA)is propounded for precise mapping of tasks to virtual machines with the due objective of addressing the dynamic nature of cloud environment.This capability of HPDBWOA helps in decreasing the SLA violations and Makespan with optimal resource management.It is modelled as a scheduling strategy which utilizes the merits of PDOA and BWOA for attaining reactive decisions making with respect to the process of assigning the tasks to virtual resources by considering their priorities into account.It addresses the problem of pre-convergence with wellbalanced exploration and exploitation to attain necessitated Quality of Service(QoS)for minimizing the waiting time incurred during TS process.It further balanced exploration and exploitation rates for reducing the makespan during the task allocation with complete awareness of VM state.The results of the proposed HPDBWOA confirmed minimized energy utilization of 32.18% and reduced cost of 28.94% better than approaches used for investigation.The statistical investigation of the proposed HPDBWOA conducted using ANOVA confirmed its efficacy over the benchmarked systems in terms of throughput,system,and response time.

超融合基础架构在图书馆数据中心的构建及应用

随着图书馆数据中心对设备、存储和管理等方面需求的提高,传统架构数据中心已不能满足需求。图书馆使用超融合架构管理图书馆数据中心代替传统架构,将存储、网络、计算等资源整合,从而在资源利用率、管理方式、安全性和扩展性等方面得到了显著的进步。通过对超融合管理平台的概述、超融合在图书馆的部署概述和应用,以及传统架构数据中心与超融合架构数据中心管理模式的优劣势对比,进行超融合平台的管理模式探究。

数字基础设施建设对服务业“鲍莫尔成本病”的影响研究——来自中国地级及以上城市的经验证据

随着信息科技和产业变革的加速推进,数字基础设施为服务业的效率提升和转型升级带来更加突出的影响。基于中国服务业发展的实际,验证了服务业“鲍莫尔成本病”的存在性,并采用2011—2019年中国288个地级及以上城市数据,证明了数字基础设施能够有效缓解服务业“鲍莫尔成本病”,在利用工具变量回归和替换核心解释变量等稳健性检验后仍然成立。研究发现,规模经济效应和结构优化效应是数字基础设施建设缓解服务业“鲍莫尔成本病”的两个重要渠道,其中生产性服务业的传统空间集聚和虚拟集聚是实现服务业内部结构优化的主要方式,其作用受地区制度环境和地理区位等因素影响。在制度环境方面,市场化程度与知识产权保护力度较高、社会信任水平较高的城市,数字基础设施建设更有利于促进服务业高效率增长、缓解服务业“鲍莫尔成本病”;在城市规模方面,数字基础设施建设对于特大和大城市的服务业成本病具有显著的缓解作用。据此提出政府应加大数字基础设施建设投入,推动服务业产业结构的优化升级,营造良好的外部环境。

Automated Power Control for Virtualized Infrastructures

Power control for virtualized enviromnents has is keeping underlying infrastructure in reasonably low power gained much attention recently. One of the major challenges states and achieving service-level objectives （SLOs） of upper applications as well. Existing solutions, however, cannot effectively tackle this problem for virtualized environments. In this paper, we propose an automated power control solution for such scenarios in hope of making some progress. The major advantage of our solution is being able to precisely control the CPU frequency levels of a physical environment and the CPU power allocations among virtual machines with respect to the SLOs of multiple applications. Based on control theory and online model estimation, our solution can adapt to the variations of application power demands. Additionally, our solution can simultaneously manage the CPU power control for all virtual machines according to their dependencies at either the application-level or the infrastructure-level. The experimental evaluation demonstrates that our solution outperforms three state-of-the-art methods in terms of achieving the application SLOs with low infrastructure power consumption.

基于VOI的高校计算机实训室建设方案探索

在计算机实训室建设中,基于还原卡的建设方案与基于虚拟桌面架构的建设方案,都不能以集中化的管理手段提供高性能图像处理能力的系统桌面。为此,文章提出一种以虚拟操作系统架构为基础,以RAID2.0+为存储技术的解决方案。方案提高了客户端硬件利用率,降低了服务端计算能力投入成本,是一种低成本、高可靠、高性能的实训室建设方案。

基于私有云架构的煤炭企业云平台研究

研究了基于云计算、人工智能和大数据等新一代技术的私有云架构在煤炭企业中的应用。首先阐述了私有云平台的设计思路,结合煤炭企业的智能化发展需求设计了一种私有云架构,旨在整合计算、存储和网络等基础设施资源,以云资源池的形式在逻辑上进行呈现,以实现资源的动态扩展和按需使用。接着,探讨了在煤矿中部署私有云的方法及关键技术,包括云平台的构建、虚拟化技术的运用等。此外,列举了私有云架构在煤炭企业井下应用场景中的运用,如利用AI人工智能技术构建井下私有云,以支持应用系统的快速建设和跨系统的融合联动。

网络安全中的威胁情报整合与VMware基础设施的主动安全措施

随着数字化时代到来,网络安全问题日益突出。文章旨在探讨网络安全中的威胁情报整合与VMware基础设施的主动安全措施。其中,威胁情报整合是一项关键活动,有助于组织更好地了解网络威胁,并加强防御措施,以提高对潜在攻击的应对能力。而在虚拟化环境中(如VMware基础设施),主动安全措施将成为维护系统完整性和安全性不可或缺的一部分。

调度集中系统云计算平台应用方案研究

云计算是IT技术发展的重要趋势,得到业界广泛认可并迅速发展。在铁路运输业务中,为提升调度集中系统的稳定性和可用性,降低运营成本,对调度集中系统迁移至云计算平台的技术方案进行深入研究。基于国内外铁路、轨道交通行业云计算平台的应用案例,从系统灵活性、建设成本、负载均衡、灾备恢复和快速部署等方面,分析调度集中系统迁移至云计算平台的可行性,并提出迁移策略,以及需重点关注的技术要点,为云计算平台、供应商的选择及评估标准提出建议,能够为调度集中系统优化升级及信息化建设提供参考。

虚拟企业信息基础设施框架研究

虚拟企业是未来的企业模式 ,而信息基础设施是建立虚拟企业的关键技术之一。本文介绍了支持虚拟企业合作环境的基础设施框架 ,分析了虚拟企业生存周期和采取的虚拟企业集成方案 ,在此基础上 ,对总体功能层次的基本体系框架和基于WWW。

面向虚拟资源的云计算资源管理机制

云计算为能够为用户提供基础作为服务(IaaS,Infrastructure as a Service)的计算能力,使得用户能够在使用高效、可靠、经济的计算资源的同时,不用增加额外的购置、维护资源的开销,这在很大程度上要依赖对虚拟资源的使用。因此如何有效地管理虚拟资源,使其使用率最大化并保证用户对资源使用的有效性,已成了眼下的攻关难题。针对这一问题,文章提出了一种面向虚拟资源的云计算资源管理机制,通过对虚拟资源的划分、预留及调度策略,为用户提供有效的IaaS服务。通过仿真实验结果表明,该方法能够提高虚拟资源的使用率及保证用户对资源使用的有效性。

论“数字城市”关键技术及其实现

对“数字城市”的概念进行了界定 ,在分析国内外研究进展的基础上 ,主要探讨我国实现“数字城市”的关键技术 ,诸如 :虚拟现实技术 (VirtualRe ality)、数字城市空间基础设施、多种GIS系统集成模型研究、3D -GIS、三维城市规划、城市仿真与虚拟现实技术、数字城市支持下的数字社区等等。