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| 1 | 图书馆大数据体系构建的学术环境和战略思考显示文摘文章简要介绍了大数据的发展历程,全面分析了国内外大数据的研究现状,并结合图书馆所处的学科背景、研究背景及管理背景,分析了大数据对图书馆的影响,探讨了图书馆的应对措施,最后,针对图书馆人研究大数据遇到的质疑提出了三个观点。 | 张兴旺 | 2013 | 情报资料工作2013，34，2： | 78 |
| 2 | 基于Spring Cloud实现业务系统微服务化的设计与实现显示文摘微服务架构是一种先进的架构模式,它将业务系统彻底组件化、服务化的思想是IT应用应对互联网思路、云端部署的最佳解决方案之一,而Spring Cloud对微服务架构提供了全面的技术支持,是实践微服务架构案例最优技术框架。基于Spring Cloud框架实现微服务架构的应用显著地提升了响应速度和持续集成能力,实现了开发、测试、部署运维的一体化。 | 王方旭 | 2018 | 电子技术与软件工程2018，，8： | 62 |
| 3 | 云计算影响下的图书馆信息服务研究显示文摘云计算是分布式处理、并行处理和网格计算的发展,是一种基于互联网的超级计算模式,其基本原理为多台PC机或服务器连接成'云',终端通过'云计算'的七种服务形式来实现超级存储和超级计算,亚马逊、IBM、微软、谷歌、瑞星、阿里巴巴等已开展了对'云'的研发与服务。'云'具有较高的数据存储能力和安全性,能为图书馆提供一个泛在的能随时更新资源的信息服务平台,降低用户的信息获取成本,提高图书馆信息资源的利用率,延伸图书馆的信息服务。 | 魏志鹏 李慧佳 祖央 | 2010 | 图书馆2010，，2： | 40 |
| 4 | OpenRS-Cloud:A remote sensing image processing platform based on cloud computing environment显示文摘This paper explores the use of cloud computing for remote sensing image processing.The main contribution of our work is to develop a remote sensing image processing platform based on cloud computing technology(OpenRS-Cloud).This paper focuses on enabling methodical investigations into the development pattern,computational model,data management and service model exploring this novel distributed computing model.The experimental INSAR processing flow is implemented to verify the efficiency and feasibility of OpenRS-Cloud platform.The results show that cloud computing is well suited for computationally-intensive and data-intensive remote sensing services. | GUO Wei,GONG JianYa,JIANG WanShou,LIU Yi & SHE Bing State Key Laboratory for Information Engineering in Surveying,Mapping and Remote Sensing,Wuhan University,Wuhan 430074,China | 2010 | Science China(Technological Sciences)2010，53，S1： | 24 |
| 5 | 微服务API网关的设计及应用显示文摘随着微服务架构的广泛传播与应用,微服务网关的重要性得以逐渐显现出来,所有的客户端和消费端都通过统一的网关接入微服务。为此,定制化的设计实现了一个基于Zuul的微服务API网关,并基于此API网关构建了一个企业知识管理的微服务系统。企业知识管理系统的微服务化,业务服务经由统一API网关封装,解决了系统权限控制代码冗余、结构复杂、模块高耦合、标准不一等问题,为系统的低耦合、高扩展、易维护提供了稳妥的解决方案。 | 廖俊杰 陶智勇 | 2019 | 自动化技术与应用2019，38，8： | 20 |
| 6 | Energy-Efficient Computation Offloading and Resource Allocation in Fog Computing for Internet of Everything显示文摘With the dawning of the Internet of Everything(IoE) era, more and more novel applications are being deployed. However, resource constrained devices cannot fulfill the resource-requirements of these applications. This paper investigates the computation offloading problem of the coexistence and synergy between fog computing and cloud computing in IoE by jointly optimizing the offloading decisions, the allocation of computation resource and transmit power. Specifically, we propose an energy-efficient computation offloading and resource allocation(ECORA) scheme to minimize the system cost. The simulation results verify the proposed scheme can effectively decrease the system cost by up to 50% compared with the existing schemes, especially for the scenario that the computation resource of fog computing is relatively small or the number of devices increases. | Qiuping Li Junhui Zhao Yi Gong Qingmiao Zhang | 2019 | China Communications2019，16，3： | 19 |
| 7 | 基于Spring Cloud微服务架构的应用显示文摘本文介绍了微服务的基本概念、优缺点以及实现方式,对基于Spring-Cloud的微服务架构模式进行分析,最后给出微服务的应用场景。 | 李娜 | 2019 | 电子技术与软件工程2019，，12： | 19 |
| 8 | 基于蝙蝠算法的云计算资源分配研究显示文摘由于云计算要面临庞大的资源分配并且具有动态性等特点,仅从单一方面来权衡资源分配策略的优劣已经不能满足需求。针对上述问题,从用户和资源提供者两个方面出发,将蝙蝠算法引入资源分配策略中,提出了以任务完成时间较短且成本最低为约束条件的调度模型。通过Cloud Sim平台进行模拟仿真表明,该资源分配算法能有效地兼顾完成时间和成本,在缩短任务完成时间的同时保证成本最小,提高了资源利用率。 | 金伟健 王春枝 | 2015 | 计算机应用研究2015，32，4： | 17 |
| 9 | 基于Spring Cloud的微服务构建及软件云化应用研究显示文摘随着用户个性化定制需求的日益增加,以及软件版本迭代更新的加快,传统的单体式架构的软件系统的弊端日益凸显,严重地制约了软件的快速升级与交付使用,传统的软件逐渐地出现计算性能低下、算法可扩展有限等问题。为了满足用户日益增长的定制需求、快速便捷的使用需求,研究了基于Spring Cloud框架的微服务构建方法,并开展了六性软件平台由传统的.Net Framework向微服务架构转变的应用研究。利用Spring Cloud框架对传统的六性软件平台进行了微服务化和云化,实现了敏捷开发、灵活部署和快速迁移,大大地降低了用户的定制、使用和部署成本,为用户提供了按需消费和使用服务。 | 梁安健 胡宁 罗剑武 陈泫文 | 2018 | 电子产品可靠性与环境试验2018，36，A01： | 17 |
| 10 | Identity-based public auditing for cloud storage systems against malicious auditors via blockchain显示文摘Cloud storage systems provide users with convenient data storage services, which allow users to access and update outsourced data remotely. However, these cloud storage services do not guarantee the integrity of the data that users store in the cloud. Thus, public auditing is necessary, in which a third-party auditor(TPA) is delegated to audit the integrity of the outsourced data. This system allows users to enjoy on-demand cloud storage services without the burden of continually auditing their data integrity. However,certain TPAs might deviate from the public auditing protocol and/or collude with the cloud servers. In this article, we propose an identity-based public auditing(IBPA) scheme for cloud storage systems. In IBPA,the nonces in a blockchain are employed to construct unpredictable and easily verified challenge messages,thereby preventing the forging of auditing results by malicious TPAs to deceive users. Users need only to verify the TPAs' auditing results in batches to ensure the integrity of their data that are stored in the cloud.A detailed security analysis shows that IBPA can preserve data integrity against various attacks. In addition,a comprehensive performance evaluation demonstrates that IBPA is feasible and efficient. | Jingting XUE Chunxiang XU Jining ZHAO Jianfeng MA | 2019 | Science China(Information Sciences)2019，62，3： | 17 |
| 11 | 云存储的应用 | 王鹤群 | 2008 | 记录媒体技术2008，0，5： | 15 |
| 12 | 基于Spring Cloud服务调用的设计与应用显示文摘微服务架构作为一种颗粒度更小的分布式架构,其首要解决的问题就是如何实现应用间的远程调用。此服务调用框架设计基于Spring Cloud框架,整合并封装负载均衡Ribbon、容错保护Hystrix以及服务注册与发现Eureka等多个组件,采用GZIP压缩请求与响应,最后在一个企业知识管理的微服务系统完成对该服务调用框架的应用。通过系统功能和性能测试,系统服务间由原来的本地调用转变为远程调用,极大地提升了系统的处理能力以及系统模块的解耦,为实现简洁且高效的服务调用提供了完善的解决方案。 | 郭致远 魏银珍 | 2019 | 信息技术与网络安全2019，38，2： | 15 |
| 13 | 支撑材料基因工程的高通量材料集成计算平台显示文摘总结材料计算和数据管理面临的挑战,阐述高通量材料集成计算的内涵,介绍我们在国内率先研制出的高通量材料集成计算平台和软件框架Mat Cloud.平台支持与不同高性能计算集群的动态绑定,基于图形化界面的第一性原理计算流程设计、持久化、解析和执行;大批量计算作业的生成、提交、运行监控,及容错和纠错的自动流程实现;支持数据的提取、规范化加工、及自动存储等.Mat Cloud形成了一个高通量材料集成计算软件框架,支持个性化插件的快速研发. | 杨小渝 王娟 任杰 宋健龙 王宗国 曾雉 张小丽 黄孙超 张平 林海青 | 2017 | 计算物理2017，34，6： | 14 |
| 14 | Energy-efficient Virtual Machine Allocation Technique Using Flower Pollination Algorithm in Cloud Datacenter:A Panacea to Green Computing显示文摘Cloud computing has attracted significant interest due to the increasing service demands from organizations offloading computationally intensive tasks to datacenters.Meanwhile,datacenter infrastructure comprises hardware resources that consume high amount of energy and give out carbon emissions at hazardous levels.In cloud datacenter,Virtual Machines(VMs)need to be allocated on various Physical Machines(PMs)in order to minimize resource wastage and increase energy efficiency.Resource allocation problem is NP-hard.Hence finding an exact solution is complicated especially for large-scale datacenters.In this con text,this paper proposes an Energy-oriented Flower Pollination Algorithm(E-FPA)for VM allocation in cloud datacenter environments.A system framework for the scheme was developed to enable energy-oriented allocation of various VMs on a PM.The allocation uses a strategy called Dynamic Switching Probability(DSP).The framework finds a near optimal solution quickly and balances the exploration of the global search and exploitation of the local search.It considers a processor,storage,and memory constraints of a PM while prioritizing energy-oriented allocation for a set of VMs.Simulations performed on MultiRecCloudSim utilizing planet workload show that the E-FPA outperforms the Genetic Algorithm for Power-Aware(GAPA)by 21.8%,Order of Exchange Migration(OEM)ant colony system by 21.5%,and First Fit Decreasing(FFD)by 24.9%.Therefore,E-FPA significantly improves datacenter performance and thus,enhances environmental sustainability. | Mohammed Joda Usman Abdul Samad Ismail Hassan Chizari Gaddafi Abdul-Salaam Ali Muhammad Usman Abdulsalam Yau Gital Omprakash Kaiwartya Ahmed Aliyu | 2019 | Journal of Bionic Engineering2019，16，2： | 13 |
| 15 | 基于云边融合的物联网智能服务架构探讨显示文摘为解决物联网智能化升级以及与信息化系统融合过程中带来的问题和挑战,提出了基于云边融合的物联网智能服务架构AI Cloud。AI Cloud由边缘节点、边缘域、云中心组成,三层各司其职、相互协同,实现AI可调度、数据按需汇聚、应用场景化、运维一体化。在AI Cloud架构下,能够实现软件与硬件的解耦以及数据与应用的解耦,在基础设施、数据、平台、应用等各层面全面开放,打造行业能力开放体系,共筑产品和服务生态圈,共同促进行业的可持续发展。 | 蒲世亮 袁婷婷 | 2018 | 智能物联技术2018，1，1： | 12 |
| 16 | 微服务架构研究方法显示文摘随着单体式应用架构维护困难等弊端日益凸显,微服务架构被越来越多的开发者所使用,并且为了解决单体式架构在开发使用过程中面临的挑战,提出了基于微服务架构的分散治理服务架构思想。微服务架构是一种架构思想和开发模式的蜕变,相比于传统的单体式服务架构,微服务有着更快的上线周期。本文主要阐述微服务架构的概念与工作原理,论述与单体式架构相比微服务架构的优势及特点,以及基于Spring Cloud的微服务架构的运行流程。 | 郑文靖 王婷 | 2019 | 现代信息科技2019，0，15： | 12 |
| 17 | 基于5G边缘计算的Cloud VR研究显示文摘Cloud VR将是5G的重要应用。Cloud VR是在VR业务中引入了云计算、云渲染的理念及技术,将云端的声音输出及视频输出通过压缩编码,凭借高速稳定的网络传输到终端设备,实现VR业务内容上云,渲染上云。云化的VR引入新的时延,而边缘计算技术作为5G的关键技术之一,在靠近接入侧的边缘机房部署网关、服务器等,将低时延业务的数据在边缘服务器处理和传输,进而降低时延、减少回传压力,有效提高了用户体验。 | 曹扬晨 朱国胜 祁小云 邹洁 | 2019 | 信息通信2019，0，10： | 12 |
| 18 | Climate Sensitivity and Feedbacks of a New Coupled Model CAMS-CSM to Idealized CO_2 Forcing: A Comparison with CMIP5 Models显示文摘Climate sensitivity and feedbacks are basic and important metrics to a climate system. They determine how large surface air temperature will increase under CO_2 forcing ultimately, which is essential for carbon reduction policies to achieve a specific warming target. In this study, these metrics are analyzed in a climate system model newly developed by the Chinese Academy of Meteorological Sciences(CAMS-CSM) and compared with multi-model results from the Coupled Model Comparison Project phase 5(CMIP5). Based on two idealized CO_2 forcing scenarios, i.e.,abruptly quadrupled CO_2 and CO_2 increasing 1% per year, the equilibrium climate sensitivity(ECS) and transient climate response(TCR) in CAMS-CSM are estimated to be about 2.27 and 1.88 K, respectively. The ECS is near the lower bound of CMIP5 models whereas the TCR is closer to the multi-model ensemble mean(MME) of CMIP5 due to compensation of a relatively low ocean heat uptake(OHU) efficiency. The low ECS is caused by an unusually negative climate feedback in CAMS-CSM, which is attributed to cloud shortwave feedback(λSWCL) over the tropical Indo-Pacific Ocean.The CMIP5 ensemble shows that more negative λSWCL is related to larger increase in low-level(925–700 hPa)cloud over the tropical Indo-Pacific under warming, which can explain about 90% of λSWCL in CAMS-CSM. Static stability of planetary boundary layer in the pre-industrial simulation is a critical factor controlling the low-cloud response and λSWCL across the CMIP5 models and CAMS-CSM. Evidently, weak stability in CAMS-CSM favors lowcloud formation under warming due to increased low-level convergence and relative humidity, with the help of enhanced evaporation from the warming tropical Pacific. Consequently, cloud liquid water increases, amplifying cloud albedo, and eventually contributing to the unusually negative λSWCL and low ECS in CAMS-CSM. Moreover, the OHU may influence climate feedbacks and then the ECS by modulating regional sea surface temperature responses. | Xiaolong CHEN Zhun GUO Tianjun ZHOU Jian LI Xinyao RONG Yufei XIN Haoming CHEN Jingzhi SU | 2019 | Journal of Meteorological Research2019，33，1： | 11 |
| 19 | Building a Cloud-Based Energy Storage System through Digital Transformation of Distributed Backup Battery in Mobile Base Stations显示文摘Battery energy storage systems(ESS) have been widely used in mobile base stations(BS) as the main backup power source. Due to the large number of base stations, massive distributed ESSs have largely stayed in idle and very difficult to achieve high asset utilization. In recent years, the fast-paced development of digital energy storage(DES) technology has revolutionized the traditional operation and maintenance of ESSs by transforming them into digital assets, further enabling battery energy storage services, raising up a new way to achieve a much higher utilization of such kind of largely idle ESS resources. In this paper, the disruptive DES technology will be introduced and its application under the context of mobile BSs will be studied, and then a cloud-based energy storage(CES) platform is proposed based on a large scale distributed DESs to provide a new cyber-enabled energy storage service to the local utility company. A real-world case study shows the effectiveness and efficiency of the CES platform. | Song Ci Yanglin Zhou Yuan Xu Xingjian Diao Junwei Wang | 2020 | China Communications2020，17，4： | 10 |
| 20 | 利用KAZR云雷达对SACOL站云宏观特性的研究显示文摘云是气候系统中最为重要的因子之一,对地气系统的辐射收支有显著影响.然而由于云在气候模式中的表征和反馈作用不能很好地被描述,因而也是造成气候预测存在较大不确定性的重要因子.兰州大学半干旱气候与环境监测站(SACOL)于2013年7月引进了Ka-Band Zenith Radar(KAZR),在西北干旱区进行云的长期连续观测.本文利用云雷达观测数据,首先实现了目前ARM用于云检测的业务算法.在此基础上对2014年SACOL站上空云宏观特性进行统计,初步分析了云底、云顶和云厚的分布变化,结果表明:云底在1.5和5.5 km处出现频率最高,云顶发生频率在2.5和8.5 km处达到峰值;67%的云层厚度分布在2 km以内;月平均总云量的发生频率为44%~76%,低云、中云和高云的发生频率分别为13%,30%和34%;单层云、双层云和三层云占到云总数的98%,其中夏秋季节多层云发生频率较高;各个季节不同类型的云都具有一定的日变化特征;通过KAZR与Cloud Sat和CALIPSO卫星的观测比对,结果表明Cloud Sat对厚云的穿透性好,但无法探测到反射率因子低于?30 d BZ的弱云,CALIPSO对弱云最敏感,但信号受云滴粒子衰减较快,对于厚度较大的云探测的云底高度偏高. | 朱泽恩 郑创 葛觐铭 黄建平 付强 | 2017 | 科学通报2017，62，8： | 10 |
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