TPM Context Manager and Dynamic Configuration Management for Trusted Virtualization Platform

It is absolutely critical that trusted configuration management which significantly affects trust chain establishment, sealing storage and remote attestation, especially in trusted virtualization platform like Xen whose system configuration changes easily. TPM （trusted platform module） context manager is presented to carry out dynamic configuration management for virtual machine. It manages the TPM command requests and VM （virtual machine） configurations. The dynamic configuration representa- tion method based on Merkle hash tree is explicitly proposed against TCG （trusted computing group） static configuration representation. It reflects the true VM status in real time even if the configuration has changed, and it eliminates the invalidation of configuration representation, sealing storage and remote attestation. TPM context manager supports TCG storage protection, remote attestation etc, which greatly enhances the security on trusted virtualization platform.

A Resource Management Algorithm for Virtual Machine Migration in Vehicular Cloud Computing

In recent years,vehicular cloud computing(VCC)has gained vast attention for providing a variety of services by creating virtual machines(VMs).These VMs use the resources that are present in modern smart vehicles.Many studies reported that some of these VMs hosted on the vehicles are overloaded,whereas others are underloaded.As a circumstance,the energy consumption of overloaded vehicles is drastically increased.On the other hand,underloaded vehicles are also drawing considerable energy in the underutilized situation.Therefore,minimizing the energy consumption of the VMs that are hosted by both overloaded and underloaded is a challenging issue in the VCC environment.The proper and efcient utilization of the vehicle’s resources can reduce energy consumption signicantly.One of the solutions is to improve the resource utilization of underloaded vehicles by migrating the over-utilized VMs of overloaded vehicles.On the other hand,a large number of VM migrations can lead to wastage of energy and time,which ultimately degrades the performance of the VMs.This paper addresses the issues mentioned above by introducing a resource management algorithm,called resource utilization-aware VM migration(RU-VMM)algorithm,to distribute the loads among the overloaded and underloaded vehicles,such that energy consumption is minimized.RU-VMM monitors the trend of resource utilization to select the source and destination vehicles within a predetermined threshold for the process of VM migration.It ensures that any vehicles’resource utilization should not exceed the threshold before or after the migration.RU-VMM also tries to avoid unnecessary VM migrations between the vehicles.RU-VMM is extensively simulated and tested using nine datasets.The results are carried out using three performance metrics,namely number of nal source vehicles(nfsv),percentage of successful VM migrations(psvmm)and percentage of dropped VM migrations(pdvmm),and compared with threshold-based algorithm(i.e.,threshold)and cumulative sum(CUSUM)algorithm.The comparisons show that the RU-VMM algorithm performs better than the existing algorithms.RU-VMM algorithm improves 16.91%than the CUSUM algorithm and 71.59%than the threshold algorithm in terms of nfsv,and 20.62%and 275.34%than the CUSUM and threshold algorithms in terms of psvmm.

ERP Virtual Simulation Experiment Teaching Platform based on UFIDA Cloud Computing

Economic Management Professional Academic Education are increasingly becoming personalization,intelligence and application.Colleges and universities should actively use cloud computing and big data.Also Internet of Things and other advanced information technologies to build an economics and management ERP virtual simulation experiment teaching platform.Cloud computing and big data,virtual simulation experiment teaching resources with"resource library+project library+enterprise management simulation sandbox training"as the core can build an online and offline collaborative and practical experiment teaching platform.It is expected to achieve the ideal effect of integration of three spaces.Such as physics and resources and social digital teaching.Moreover,it can also benefit human-computer collaboration and interactive teaching and inquiry learning.

A novel virtual machine deployment algorithm with energy efficiency in cloud computing

In order to improve the energy efficiency of large-scale data centers, a virtual machine(VM) deployment algorithm called three-threshold energy saving algorithm(TESA), which is based on the linear relation between the energy consumption and(processor) resource utilization, is proposed. In TESA, according to load, hosts in data centers are divided into four classes, that is,host with light load, host with proper load, host with middle load and host with heavy load. By defining TESA, VMs on lightly loaded host or VMs on heavily loaded host are migrated to another host with proper load; VMs on properly loaded host or VMs on middling loaded host are kept constant. Then, based on the TESA, five kinds of VM selection policies(minimization of migrations policy based on TESA(MIMT), maximization of migrations policy based on TESA(MAMT), highest potential growth policy based on TESA(HPGT), lowest potential growth policy based on TESA(LPGT) and random choice policy based on TESA(RCT)) are presented, and MIMT is chosen as the representative policy through experimental comparison. Finally, five research directions are put forward on future energy management. The results of simulation indicate that, as compared with single threshold(ST) algorithm and minimization of migrations(MM) algorithm, MIMT significantly improves the energy efficiency in data centers.

Cloud Computing Technology and Its Applications

Virtualization and distributed parallel architecture are typical cloud computing technologies. In the area of virtuatization technology, this article discusses physical resource pooling, resource pool management and use, cluster fault location and maintenance, resource pool grouping, and construction and application of heterogeneous virtualization platforms. In the area of distributed technology, distributed file system and KeyNalue storage engine are discussed. A solution is proposed for the host bottleneck problem, and a standard storage interface is proposed for the distributed file system. A directory-based storage scheme for Key/Value storage engine is also proposed.

Evaluation of a Cloud Management System for Live Migrations

IT infrastructures have been widely deployed in datacentres by cloud service providers for Infrastructure as a Service (IaaS) with Virtual Machines (VMs). With the rapid development of cloud-based tools and techniques, IaaS is changing the current cloud infrastructure to meet the customer demand. In this paper, an efficient management model is presented and evaluated using our unique Trans-Atlantic high-speed optical fibre network connecting three datacentres located in Coleraine (Northern Ireland), Dublin (Ireland) and Halifax (Canada). Our work highlights the design and implementation of a management system that can dynamically create VMs upon request, process live migration and other services over the high-speed inter-networking Datacentres (DCs). The goal is to provide an efficient and intelligent on-demand management system for virtualization that can make decisions about the migration of VMs and get better utilisation of the network.

Lightweight Virtualization Cluster How to Overcome Cloud Vendor Lock-In

To overcome vendor lock-in obstacles in public cloud computing, the capability to define transferable cloud-based services is crucial but has not yet been solved satisfactorily. This is especially true for small and medium sized enterprises being typically not able to operate a vast staff of cloud service and IT experts. Actual state of the art cloud service design does not systematically deal with how to define, deploy and operate cross-platform capable cloud services. This is mainly due to inherent complexity of the field and differences in details between a plenty of existing public and private cloud infrastructures. One way to handle this complexity is to restrict cloud service design to a common subset of commodity features provided by existing public and private cloud infrastructures. Nevertheless these restrictions raise new service design questions and have to be answered in ongoing research in a pragmatic manner regarding the limited IT-operation capabilities of small and medium sized enterprises. By simplifying and harmonizing the use of cloud infrastructures using lightweight virtualization approaches, the transfer of cloud deployments between a variety of cloud service providers will become possible. This article will discuss several aspects like high availability, secure communication, elastic service design, transferability of services and formal descriptions of service deployments which have to be addressed and are investigated by our ongoing research.

Storage System Design Scheme in Virtualization Construction

In order to improve resource utilization, it is necessary to integrate storage and data, and the emergence of cloud computing makes it possible. This paper analyzed the study of virtualization and cloud computing, proposed a new scheme based on virtualization, and established a shared storage platform, which made a good complement and perfected the centralized storage platform.

基于IDV架构的虚拟云桌面实训管理平台设计

随着云计算和虚拟化技术的不断发展,虚拟云桌面在高校实验室建设和教学管理方面的应用日益广泛。通过对虚拟云桌面主流架构的分析,结合高校计算机实训教学和考试系统的实际需求,采用IDV架构对计算机实训管理平台进行设计,包括实验室网络拓扑结构、基本功能模块、服务器端和客户端逻辑架构。探索灵活高效、安全稳定的实验教学管理方案,提升计算机实训室的信息化和智慧化水平,为培养高水平、高素质的人才提供保障。

大数据背景下的电力营销信息管理平台设计

为了提升电力营销大数据处理和调度效率,设计大数据背景下的电力营销信息管理平台。基于Hadoop和MapReduce设计平台存储和技术框架,利用大数据技术划分电力营销大数据,实现电力营销信息状态安全分析和监控;采用云计算技术分析和处理电力营销数据。测试结果显示,所设计平台的大数据处理吞吐量较高、大数据处理加速比稳定;数据调度计算效率较高、性能稳定;将电力营销数据以对象形式缓存到内存中时,执行时间较短、耗费内存较小。该平台具备较好的数据处理及调度能力。

基于云计算平台的高校图书馆借阅信息管理系统搭建研究

随着高校图书馆信息量的激增,传统的信息管理系统已难以满足需求,该文探讨了如何利用云计算技术搭建一个高效、灵活的高校图书馆借阅信息管理系统。首先概述了云计算的基本概念、服务模型及其优势,随后分析了当前高校图书馆信息管理的现状,指出了传统系统的局限性和用户需求的变化。在此基础上,设计了一套基于云计算的平台搭建方案,包括数字资源的整合、平台架构的设计与功能实现,以及数据安全策略的制定。最后,讨论了云计算平台在高校图书馆借阅信息管理系统中的应用与教育发展推动。

云桌面技术在高校计算机机房管理中的应用研究

在当前数字化教育的背景下,高校计算机机房作为信息技术教学的核心场所,其管理和运营的高效性对教学质量有着直接影响。文章聚焦于云桌面技术在高校计算机机房管理中的应用,探讨该技术如何优化计算机机房的资源利用、提高管理效率及增强教学活动的灵活性和安全性,着重分析模板管理、桌面管理和教室管理的策略与实践,旨在实现资源的高效分配和利用。

基于云计算虚拟化技术的智慧旅游信息服务平台设计

为提高旅游服务信息网络资源利用率和增加游客量,设计基于云计算虚拟化技术的智慧旅游信息服务平台。该平台通过具备各类服务器、网络设备以及接口端的物理层完成旅游资源调度、分配以及管理,实现旅游资源集成化,并通过相对应的分布式处理方式,将信息、旅游资源虚拟化。实验结果表明:该平台具有较好的大数据处理效率以及应用性,可降低旅游企业50%的运行成本,使游客量大幅度提升。

基于云计算和虚拟化的网络安全实验教学平台建设研究

现代信息技术的迅速发展,对传统网络安全实践教学方式产生了很大的影响。各高校为了培养出实践能力强、综合素质高的应用型人才,对网络安全实践教学方式进行了改革,并取得了一定的成效。通过对传统网络安全实验教学平台存在的问题进行剖析,对基于云计算和虚拟化的网络安全实验教学平台设计和构建进行阐述,分析了网络安全实验平台的主要功能和具体操作步骤。使用基于云计算和虚拟化网络安全实验教学平台提升了学生的动手操作能力,降低了教学成本,解决了课程资源更新不及时等问题,为高校网络安全实践教学提供了一种新的思路和方式。

新工科时代智能制造虚拟仿真平台建设探索

根据新工科人才培养目标和产业发展需求,分析智能制造虚拟仿真训练学习对本科生交叉学科能力培养的作用;探索高校工程训练中心如何依托本校优势学科构建材料成型智能制造虚拟仿真实验平台,应用虚拟仿真、人工智能和信息技术等最新技术手段,规划虚实一体化模式的虚拟仿真实训项目和任务导向明确的虚拟仿真训练,提升学生工程能力,创设学科交叉融合的学生虚拟智能控制创新任务,提升学生应用交叉学科运用能力和创新能力;运用云技术构建虚拟仿真平台教学管理体系,提高工程训练中心管理水平和教学效率,满足未来社会对人才需求的变化与挑战。

基于并行式频繁项集的党政收费平台

为提高党政收费时效性与信息化管理水平,基于并行式频繁项集挖掘算法开发高效率、智能化的党政收费管理平台。基于云计算技术构建党政收费管理平台的总体架构,提供云缴费、党建教育学习、党建宣传等信息化功能。在Spark分布式计算框架上构建Spark集群,构造党政收费频繁项集挖掘矩阵,根据矩阵行列间运算获得频繁k项集支持度,利用“主-从”节点模式实现并行式频繁项集挖掘,获得党政收费管理信息分类结果。测试结果显示,该平台各功能最大平均响应时长仅为1.51 s,挖掘党政收费信息频繁项集的时间开销短、推荐非空率高,呈现了良好的频繁项集挖掘效率与质量。该平台助力优化党政费用交纳工作模式,为党员管理的信息化、智能化提供支持。

云服务平台系统运维中的性能优化与安全策略研究

通过解剖云计算环境特性,该文深入研究云服务平台在系统运维中的性能优化和安全策略,并提出一系列性能提升和安全保障的有效措施。在性能优化方面,云服务平台的整体性能通过优化云服务架构、提升虚拟化技术水平、优化负载均衡策略等措施得到有效提升。同时,系统的弹性和响应速度也通过容器技术的合理应用得到进一步提升。在保障策略上,通过强化身份认证和权限控制机制构筑一条完整的保障防线。研究为云服务平台在数据传输和存储过程中存在的安全隐患提出切实可行的解决方案。

云电脑在数字油田的应用和展望

为了降低油田传统桌面的能耗,需要对油田传统桌面进行改革和创新,即对云电脑的节能技术进行对比和研究。通过大庆油田云桌面项目的实施部署,以1 000点的云电脑和传统电脑建设在资金投入、能效消耗、经济评估方面进行对比。结果表明,以云电脑虚拟化技术、用户行为管理等策略来实现节能,都取得了令人满意的效果。未来在油田以云电脑为代表的云计算可为大数据处理提供算力和算法;在云端用人工智能的方式处理油田数据,为智慧油田的持续发展提供了强大的基础设施和技术支持。

AR与BIM结合辅助项目经理现场管理的应用研究

探讨将增强现实(AR)与建筑信息模型(BIM)技术融合应用于建筑项目管理中,旨在通过集成化信息系统改善施工管理效率和安全。该方案依托云平台、边缘计算、5G专网、AR眼镜等技术,实现实时环境、安全、进度和物流信息的收集与展示,辅助项目经理做出更快速准确的决策。关键技术分析包括精准定位、无缝融合虚拟现实、信息互通、高速低时延通信和云边计算。针对现有系统局限,提出从云平台向边缘计算演进、增强AR信息展示、利用5G提升传输效率和提高信息整合度的改进措施。研究旨在通过技术创新和系统升级,提高建筑施工现场管理的效率和安全。