Towards Attaining Reliable and Efficient Green Cloud Computing Using Micro-Smart Grids to Power Internet Data Center

Energy generation and consumption are the main aspects of social life due to the fact that modern people’s necessity for energy is a crucial ingredient for existence. Therefore, energy efficiency is regarded as the best economical approach to provide safer and affordable energy for both utilities and consumers, through the enhancement of energy security and reduction of energy emissions. One of the problems of cloud computing service providers is the high rise in the cost of energy, efficiency together with carbon emission with regards to the running of their internet data centres (IDCs). In order to mitigate these issues, smart micro-grid was found to be suitable in increasing the energy efficiency, sustainability together with the reliability of electrical services for the IDCs. Therefore, this paper presents idea on how smart micro-grids can bring down the disturbing cost of energy, carbon emission by the IDCs with some level of energy efficiency all in an effort to attain green cloud computing services from the service providers. In specific term, we aim at achieving green information and communication technology (ICT) in the field of cloud computing in relations to energy efficiency, cost-effectiveness and carbon emission reduction from cloud data center’s perspective.

Stochastic Programming for Cost Optimization in Geographically Distributed Internet Data Centers

The development of cloud computing has accel-erated the worldwide growth of internet data centers(IDCs).While a large portion of the energy consumption generated by intense computation introduces greater operation expenditures to the IDC enterprises.To manage the overall costs and utilize resources to their fullest extent,this paper introduces the concept of spatio-temporal workload allocation among the geographically distributed IDCs within a cloud,with the guarantee of the workload completion time and the consideration of computing service delay penalties by introducing the cost of inconvenience.Apart from the effort of the workload migration,the spatio-temporal variance of the renewable energies in the data center microgrids(DMGs)is fully considered in this paper.What's more,as the power consumed by the IDCs are primarily converted into heat,the waste heat recovery process is embedded in each IDC to demonstrate the effectiveness of the repurposed heat,which can be used by the residential heating demand in the thermal system,for total cost reduction and energy usage efficiency in the whole operating system.Applying real-life data traces of the electricity price,renewable energies and heating demand,these extensive evaluations demonstrate that both spatial and temporal complementary attempts on the supply side and demand side,along with power and thermal complementary efforts,can significantly reduce the overall cost for the IDC enterprise.

Internet big data and capital markets:a literature review

Background:Research in various academic disciplines has undergone tremendous changes in the era of big data.Everyone is talking about big data nowadays,but how exactly is it being applied in research on financial studies?Results:This study summarizes the sources of Internet big data for research related to capital markets and the analytical methods that have been used in the literature.In addition,it presents a review of the research findings based on Internet big data in the field of capital markets and proposes suggestions for future studies in which big data can be applied to examine issues related to capital markets.Conclusion:(1)Internet big data sources related to present capital market research can be categorized into forum-type data,microblog-type data and search class data.(2)As for research about investors’sentiments on the basis of Internet big data,the main methods of sentiment analysis include building an inventory of lexical categories,using dictionaries for analysis of lexical categories,and machine learning.(3)Many studies address whether Internet big data can predict capital markets.However,they reach no consistent conclusions,which could be due to limitations of sample and analysis method used.(4)Data collection technique and analysis methods require further improvements.

A Novel Secure Data Transmission Scheme in Industrial Internet of Things

The industrial Internet of Things(IoT)is a trend of factory development and a basic condition of intelligent factory.It is very important to ensure the security of data transmission in industrial IoT.Applying a new chaotic secure communication scheme to address the security problem of data transmission is the main contribution of this paper.The scheme is proposed and studied based on the synchronization of different-structure fractional-order chaotic systems with different order.The Lyapunov stability theory is used to prove the synchronization between the fractional-order drive system and the response system.The encryption and decryption process of the main data signals is implemented by using the n-shift encryption principle.We calculate and analyze the key space of the scheme.Numerical simulations are introduced to show the effectiveness of theoretical approach we proposed.

Application of Big Data in Agricultural Informationization in Shandong Province under the Background of "Internet +"

This paper explains the basic concepts of " Internet + " and big data,analyzes the main problems in the application of big data technology in agricultural informationization of Shandong Province,summarizes corresponding solutions from the aspects of government guidance,financial input,open sharing of agricultural big data,big data storage and processing,data mining,etc.,and prospects the application trend of big data technology in agricultural informationization to achieve the connotative development of agriculture in Shandong Province.

Research on the Application of Energy Internet Big Data in Integrated Energy Market

Energy Internet is deeply integrated by Internet concept, information technology and energy industry, and Energy Internet Big Data are one of core technologies that achieve energy-information-economic interconnection and improve the development and evolution of Energy Internet. This paper describes the concept and characteristics of Energy Internet Big Data, and feasibility of applying Energy Internet Big Data to integrated energy market. On this basis, as for integrated energy market and multi-subjects of Energy Internet, typical application and technical system based on Energy Internet Big Data in integrated energy market is put forward, which provides a reference for the analysis and decision of integrated energy market in Energy Internet.

“数据要素×”赋能制造业:理论逻辑与实现路径

数据要素在工业制造领域具有很大的应用空间,《“数据要素×”三年行动计划(2024—2026年)》将工业制造作为发挥数据要素乘数效应的重点领域。从理论上看,数据要素在制造业领域的乘数效应发挥,其理论基础是数据化理论、工业互联网理论、数据生态理论、数据驱动决策理论、商业模式创新理论。数据要素赋能制造业,可以从制造业的研发、生产制造与服务能力等流程全面应用数据要素实现,也可以从数据要素为制造业提供模拟、仿真、优化、控制、预测等维度来实现。在政策上,要强化数据文化,推动数据互通、共享、复用;在制造业数据相关的底层技术方面加大研发投入,开发出适用制造业数据开发的通用工具;推动算力、算法、存储等相关配套设施与数据要素协同,支持数据要素相关的数据经纪人、数商、交易服务机构等协同发展,建立健全良好的数据生态;推动建设国家制造业数据中心,完善国家、地方、行业、团体的分级体系,对公共数据、企业数据、个人数据形成区别化的分级分类制度;强化制造业数据的安全保护标准,引导、推动行业协会等社会组织加强数据安全自律,完善数据安全体系建设。

基于虚拟网关的交通基础设施监测点位数据接入方法

针对交通基础设施点位监测数据来源多样、结构各异、协议不一的特点,分析具体接入需求,提出一种基于Netty架构的交通基础设施监测点位数据接入虚拟网关。阐述网关接入监测点位的配置方法及集群分配策略,定义超文本传输协议(HTTP)、传输控制协议(TCP)、用户数据报协议(UDP)下的数据传输格式,设计一种数据传输消息的编码和校验机制。在真实监测数据样本增强的基础上,利用分布式消息模拟工具对虚拟网关性能进行测试,结果表明,该虚拟网关实现了多点位多协议的交通基础设施监测数据统一接入,每亿条数据接入时间、存储时间分别达到8.14 s和9.75 s,平均数据溯源时间为2.96 s,具有亿级规模点位监测数据的接入能力,可为交通基础设施数字化监测的研究和应用提供理论支撑。

数字经济视角下我国国际贸易转型升级的路径研究

数字经济以大数据技术为背景,通过不断创新应用新型技术带动自身发展从而实现经济价值提升。信息时代,经济发展需要具备物联网及人工智能等先进技术的支持,而数字经济结合国际贸易的发展在未来也会成为经济模式转型的重要手段。当前经济的创新融合中仍然存在未全面转型或不具备核心竞争力等弱点。要促进数字经济与国际贸易的协同发展,则需深入探索数字技术并科学运用其带动经济治理,以此为国际贸易完善经济链实现真正的转型升级。基于此,本文对数字经济影响国际贸易改革的具体因素进行分析,研究当前以数字经济为基础的国际贸易改革面临的关键问题,并针对性地提出通过数字经济促进国际贸易改革发展的应对方案,以供参考。

我国智慧公路建设现状及发展建议

发展智慧公路是践行交通强国战略的重要举措。为了深化对智慧公路建设发展中一系列问题的认识,促进智慧公路更好更快发展,首先对智慧公路建设的内涵进行阐释,并提出“四梁、四柱、一基础”的发展框架,即以数据赋能、创新驱动、网络运营、价值导向为基本建设原则,以智慧建造、智慧养护、智慧运营、智慧服务为主要建设内容。在此基础上,明确智慧公路的关键技术与应用架构。之后,详细梳理我国智慧公路建设发展的历程与现状,总结智慧公路建设成效及存在的问题。最后,从政策、标准、技术、监管等四个方面提出发展建议,以支撑智慧公路建设的持续健康发展。

基于时空码和数联网技术的新型“可信数据空间”体系构想

梳理回顾欧盟“国际数据空间”和我国“可信数据空间”的发展由来,针对当前“可信数据空间”存在的制度和技术层面的瓶颈问题,引入一个新的“时空码+数联网”底层技术框架,在此基础上较为系统地提出新型“可信数据空间”的概念内涵、系统架构、功能视图以及有特色的融合底座等体系化设计。其主要创新体现在可信体系与实现路径、技术框架与系统架构、平台定位与生态培育等层面。并建议以新型“可信数据空间”作为我国数据流通基础设施建设的关键技术路线,协同开展技术攻关,加快试点验证示范。

基于工业互联网和区块链的“健康钱包”数据开放共享模式研究

现有健康数据共享模式面临效率低下、缺乏监管等诸多问题,无法满足国家对健康数据合规开放共享的要求,工业互联网和区块链技术的发展和应用为健康数据开放共享提供了新的路径。本研究通过引入这两种技术构建个人健康数据钱包,结合工业互联网高效的分布式数据管理及不依赖第三方公信力的特点,建立基于数据钱包的数据开放共享模式,实现对健康数据的可信流转,使患者能够更好地掌握和分享其健康信息。结果表明该数据开放共享模式可满足“数据不出域、可用不可见”要求,将健康数据所有权归还个人,有助于提高医疗服务连续性,能够为健康数据开放共享应用提供有益借鉴。

互联网与大数据背景下学习通教学设计——以《Web前端开发》课程为例

学习通属于支持自主线上学习的重要软件程序,采取学习通的移动大数据以及互联网平台能够全面支持学生自主完成各个学科的学习实践探索。具体针对于《Web前端开发》的课程教学总体实施方案在进行合理的优化设计中,教师应当重视构建学习通的信息化教学支撑平台,鼓励学生完成线上收集学习资源以及独立探索课程实践任务等过程。文章主要探讨《Web前端开发》的学习通课程教学基本设计思路,结合大数据以及互联网的创新技术形式优化课程教学成效。

基于Wi-Fi的医疗设备物联网采集装置设计

为解决医疗设备运行数据、故障数据的采集,设计一种基于无线网络Wi-Fi的医疗设备物联网采集装置。该采集装置的设计基于STM32F407的32位微控制器与ESP8266无线模组集成的,通过Wi-Fi进行通讯的物联网数据采集装置。通过该采集装置,在配置波特率后,能够实现通过串口等数据接口读取医疗设备的运行数据,并通过无线模组进行配网,连接到楼层网络无线接入点(AP)后,实现与物联网平台服务器的数据交互,达到对医疗设备的动态管理。装配应用该采集装置,可实现在物联网平台软件对呼吸机、高频电刀、监护仪、血液透析机等设备的数据采集应用,解决无法实现无线通讯的医疗设备的数据通讯问题,在获取通讯协议的前提下,可适配于较多该类型医疗设备的数据采集及数据发送功能,实现医院对该类型医疗设备的动态管理。

雷电预警及防护装置智能监管系统研究

为顺应时代的发展,弥补雷电防护装置监管手段落后的短板,雷电防护智能在线监控系统应运而生。该系统前端检测设备通过物联网、大数据、边缘计算、智能感知新技术方便、快捷、高效的实现了矿场生产自动化、管理自动化设备的入侵雷电数据、接地电阻及电源范围的实时在线监测,按国家规范要求保证各种设备的正常运行和人身安全,减少财产损失,建设经济合理、安全可靠的防护监测系统。

移动互联网技术在区域妇幼保健领域的应用

介绍天津市推动实施“互联网+妇幼保健”信息化建设的需求分析、建设背景、功能模块和应用成效等内容。应用云平台和移动互联网技术建设面向全市妇幼保健服务人群的移动App和微信小程序信息系统。采用适宜的技术架构进行系统功能模块设计开发,实现了将患者医疗机构诊疗信息和自我健康记录结合,构建完善的信息管理系统。移动互联网在妇幼健康领域的应用,实现了手机端与覆盖全市的妇幼保健信息平台的数据互联互通,优化了妇幼保健就诊流程,提高了保健服务质量和患者的满意度。

数字化重症快速反应体系建设探索

目的:建设数字化重症快速反应体系,实现急危重症患者早期识别和干预,保障患者医疗安全。方法:利用物联网、大数据和人工智能等技术,建设重症快速反应信息平台,完善快速反应管理体系。结果:构建急危重症大数据中心、智能预警及快速反应系统、组织管理体系三位一体的重症快速反应体系,为患者提供智慧、同质、高效的医疗服务。结论:重症快速反应体系建设在我国尚处于探索阶段,通过全流程的信息化、数字化管理,切实提高患者医疗安全保障,不断推动构建适合我国医疗高质量发展的重症快速反应体系。