AMAD:Adaptive Mapping Approach for Datacenter Networks,an Energy-Friend Resource Allocation Framework via Repeated Leader Follower Game

Cloud Datacenter Network(CDN)providers usually have the option to scale their network structures to allow for far more resource capacities,though such scaling options may come with exponential costs that contradict their utility objectives.Yet,besides the cost of the physical assets and network resources,such scaling may also imposemore loads on the electricity power grids to feed the added nodes with the required energy to run and cool,which comes with extra costs too.Thus,those CDNproviders who utilize their resources better can certainly afford their services at lower price-units when compared to others who simply choose the scaling solutions.Resource utilization is a quite challenging process;indeed,clients of CDNs usually tend to exaggerate their true resource requirements when they lease their resources.Service providers are committed to their clients with Service Level Agreements(SLAs).Therefore,any amendment to the resource allocations needs to be approved by the clients first.In this work,we propose deploying a Stackelberg leadership framework to formulate a negotiation game between the cloud service providers and their client tenants.Through this,the providers seek to retrieve those leased unused resources from their clients.Cooperation is not expected from the clients,and they may ask high price units to return their extra resources to the provider’s premises.Hence,to motivate cooperation in such a non-cooperative game,as an extension to theVickery auctions,we developed an incentive-compatible pricingmodel for the returned resources.Moreover,we also proposed building a behavior belief function that shapes the way of negotiation and compensation for each client.Compared to other benchmark models,the assessment results showthat our proposed models provide for timely negotiation schemes,allowing for better resource utilization rates,higher utilities,and grid-friend CDNs.

Construction and development of the Agricultural Science Data Center

Science data are very important resources for innovative research in all scientific disciplines. The Ministry of Science and Technology （MOST） of China has launched a comprehensive platform program for supporting scientific innovations and agricultural science database construction and sharing project is one of the activities under this program supported by MOST. This paper briefly described the achievements of the Agricultural Science Data Center Project.

Research on Product Data Management Based on Multi-agent System

PDM (product data management) is one kind of techniques based on software and database, which integrates information and process related to products. But it is not enough to perform the complication of PDM in enterprises. Then the mechanism to harmonize all kinds of information and process is needed. The paper introduces a novel approach to implement the intelligent monitor of PDM based on MAS (multi agent system). It carries out the management of information and process by MC (monitor center). The paper first puts forward the architecture of the whole system, then defines the structure of MC and its interoperation mode.

Comparative Analysis and Assessment of States’ Traffic Management Center Programs

This research presents a step-by-step guideline for traffic data collection standards set by the Institute of Transportation Engineers (ITE) and American Association of State Highway and Transportation Officials (AASHTO). This study reviews manual and automatic methods of traffic counting and provides detailed information on traffic volume and vehicle classification studies. This research also provides a detailed analysis of the Delaware Department of Transportation (DelDOT)-TMC (Transportation Management Center) websites and compares it to selected Department of Transportation websites of other states such as Vermont, Connecticut, New Jersey, Pennsylvania, California, Texas, and Virginia. The purpose of the comparison is to analyze the data sources;user friendliness, accessibility, types of data available, presentation formats, and style for each state to determine how they compared to DelDOT-TMC. Although there were some similarities, the findings suggest that two major differences are present. The overall results revealed that DelDOT-TMC provides limited traffic and roadway weather data, and presentation formats to the public as compared to the other states. Further, a unitless variable, called the Capacity Factor (Q), has been developed within this study to represent this relative comparison. This study shows that DelDOT TMC performs well within the group of selected states and better than selected states of similar size and most selected states of larger size;where only Virginia performs better then DelDOT TMC. DelDOT TMC does not perform as well as selected neighboring states;however, it performs in an acceptable range relative to neighboring states.

Mobile Data Mining-Based Services on the Base of Mobile Device Management (MDM) System

Client software on mobile devices that can cause the remote control perform data mining tasks and show production results is significantly added the value for the nomadic users and organizations that need to perform data analysis stored in the repository, far away from the site, where users work, allowing them to generate knowledge regardless of their physical location. This paper presents new data analysis methods and new ways to detect people work location via mobile computing technology. The growing number of applications, content, and data can be accessed from a wide range of devices. It becomes necessary to introduce a centralized mobile device management. MDM is a KDE software package working with enterprise systems using mobile devices. The paper discussed the design system in detail.

The Istituto Nazionale di Geofisica e Vulcanologia Data Management System for the Arctic Sciences

The brokering approach can be successfully used to overcome the crucial question of searching among enormous amount of data （raw and/or processed） produced and stored in different information systems. In this paper, authors describe the Data Management System the DMS （Data Management System） developed by INGV （Istituto Nazionale di Geofisica e Vulcanologia） to support the brokering system GEOSS （Global Earth Observation System of Systems） adopted for the ARCA （Arctic Present Climate Change and Past Extreme Events） project. This DMS includes heterogeneous data that contributes to the ARCA objective （www.arcaproject.it） focusing on multi-parametric and multi-disciplinary studies on the mechanism （s） behind the release of large volumes of cold and fresh water from melting of ice caps. The DMS is accessible directly at the www.arca.rm.ingv.it, or through the IADC （Italian Arctic Data Center） at http：//arcticnode.dta.cnr.it/iadc/gi-portal/index.jsp that interoperates with the GEOSS brokering system （http：//www.geoportal.org0 making easy and fast the search of specific data set and its URL.

Cloud Data Center Selection Using a Modified Differential Evolution

The interest in selecting an appropriate cloud data center is exponentially increasing due to the popularity and continuous growth of the cloud computing sector.Cloud data center selection challenges are compounded by ever-increasing users’requests and the number of data centers required to execute these requests.Cloud service broker policy defines cloud data center’s selection,which is a case of an NP-hard problem that needs a precise solution for an efficient and superior solution.Differential evolution algorithm is a metaheuristic algorithm characterized by its speed and robustness,and it is well suited for selecting an appropriate cloud data center.This paper presents a modified differential evolution algorithm-based cloud service broker policy for the most appropriate data center selection in the cloud computing environment.The differential evolution algorithm is modified using the proposed new mutation technique ensuring enhanced performance and providing an appropriate selection of data centers.The proposed policy’s superiority in selecting the most suitable data center is evaluated using the CloudAnalyst simulator.The results are compared with the state-of-arts cloud service broker policies.

Load Balancing Fat-Tree on Long-Lived Flows:Avoiding Congestion in a Data Center Network

In a data center network （DCN）, load balancing is required when servers transfer data on the same path. This is necessary to avoid congestion. Load balancing is challenged by the dynamic transferral of demands and complex routing control. Because of the distributed nature of a traditional network, previous research on load balancing has mostly focused on improving the performance of the local network; thus, the load has not been optimally balanced across the entire network. In this paper, we propose a novel dynamic load-balancing algorithm for fat-tree. This algorithm avoids congestions to the great possible extent by searching for non-conflicting paths in a centralized way. We implement the algorithm in the popular software-defined networking architecture and evaluate the algorithm＇ s performance on the Mininet platform. The results show that our algorithm has higher bisection band- width than the traditional equal-cost multi-path load-balancing algorithm and thus more effectively avoids congestion.

A New Thinking of the Objects Served Relationship Management in Complex System

Take a digital libraries＇ service system for example, Objects Served Relationship Management （OSRM） in complex systems is proposed firstly as a new concept, and its connotation is explained. The significances and constructions of OSRM are analyzed. Both the fundamental facts and the important natures that the things which are interested by Objects Served （OS） （e. g. publishers and readers） and the server （e. g. digital libraries are the servers of publishers and readers） will not be the same completely although there are a lot of common benefits between OS and servers, are indeed clarified. The valuable information,which should be used by OS and their server, is often hidden behind them. Thus, how to find, manage and control the relationship among OS and their servers is very necessary and important for the common benefits among all of them.（e. g. the three dimensions of OSRM in digital library system and its overall framwork are proposed. The different strategies to different cases in the digital library＇s multidimensional framework are analyzed.）

A Review of Energy Efficiency in Data Processing Centers

This article explores, through a case study, measures of energy efficiency in data processing centers. An analysis of this case demonstrates how the design criteria could improve the rate of consumption in IT centers, which is currently the second most contaminating industry on the planet, and is the responsible for 2% of CO2 emissions, surpassed only by the aeronautical industry. The present and future situation of IT center energy consumption and associated environmental effects is analyzed, and also looks at how state-of-the-art technology, correctly implemented, could ensure significant rationalization of data processing center energy consumption. The article will examine optimization techniques, specific problems and case studies.

国外Data Commons对我国图书馆数据共享空间建设的启示

[目的/意义]国外的数据共享空间已在各个领域得到了广泛实践和应用,尤其在辅助科学研究、提升用户服务和改善数据管理方面表现突出,对我国图书馆数据共享空间建设具有重要的启示。[方法/过程]文章梳理并分析了国内外图书馆数据共享空间的理论和实践现状,以美国国家农业图书馆数据共享空间为例,对其平台建设、数据管理和用户服务模式等方面进行剖析,最后得到我国图书馆数据共享空间建设的启示。[结果/结论]从强化数据对等意识、鼓励数据发现及复用和创新融合新方法等方面论述我国图书馆数据共享空间建设的价值,并提出包括总体计划、平台建设、数据管理和用户服务等建设策略。

Consolidated cluster systems for data centers in the cloud age： a survey and analysis

In the cloud age, heterogeneous application modes on large-scale infrastructures bring about the chal- lenges on resource utilization and manageability to data cen- ters. Many resource and runtime management systems are developed or evolved to address these challenges and rele- vant problems from different perspectives. This paper tries to identify the main motivations, key concerns, common fea- tures, and representative solutions of such systems through a survey and analysis. A typical kind of these systems is gener- alized as the consolidated cluster system, whose design goal is identified as reducing the overall costs under the quality of service premise. A survey on this kind of systems is given, and the critical issues concerned by such systems are sum- marized as resource consolidation and runtime coordination. These two issues are analyzed and classified according to the design styles and external characteristics abstracted from the surveyed work. Five representative consolidated cluster systems from both academia and industry are illustrated and compared in detail based on the analysis and classifications. We hope this survey and analysis to be conducive to both de- sign implementation and technology selection of this kind of systems, in response to the constantly emerging challenges on infrastructure and application management in data centers.

UCIMS: Advances in geotechnical construction and performance monitoring

The Crossrail project currently under construction in Central London has been described as ＂The Big Digon Steroids＂, obviously referencing the Central Artery/Tunnel project in Boston completed in 2007. Toaddress the multiple demands for timely construction performance monitoring, Crossrail envisioned theunderground construction information management system （UCIMS） to monitor construction progressand structural health along the entire route, with a network of geotechnical instruments （i.e. slope inclinometers,extensometers, piezometers, etc.） and tunnel boring machine （TBM） position information.The UCIMS is a geospatially referenced relational database that was developed using an open sourcegeographic information system （GIS） that allowed all stakeholders near immediate feedback of constructionperformance. The purpose of this article is to provide a brief history of geotechnical andstructural monitoring software, to describe the structure and operation of the UCIMS, and to demonstratehow the functionality afforded by this system provided the requisite feedback to the stakeholders.Examples will be given regarding how the data management and visualization concepts incorporatedinto the UCIMS advanced the geotechnical construction industry. 2015 Institute of Rock and Soil Mechanics, Chinese Academy of Sciences. Production and hosting byElsevier B.V. All rights reserved.

The Solutions to Invoice Tax Affairs Sharing of Large and Medium- size Enterprises

Invoice tax affairs sharing, which is based on the relying on invoice tax information management system, with the aims of avoiding the risk of tax affairs, optimizing the organizational structure, standardizing the process, improving the efficiency, reducing the operating costs and supporting the planning of tax affairs, is dedicated to providing internal and external customers with specialized, centralized and shareable management services of invoice tax affairs.

档案工作数字化转型场域下法规体系的完善理路——以《中华人民共和国档案法实施条例》为分析视角

档案工作数字化转型是适应数字中国重要发展战略、提高档案治理效能、实现档案事业高质量发展的必然路径。《中华人民共和国档案法实施条例》在提高档案法规体系立法质量、推动档案法规体系科学构建,进而完善新时代国家档案法规体系方面具有重要作用。基于此,《中华人民共和国档案法实施条例》从顶层设计、数字资源建设、数字基础设施建设、利用服务四个层面推动档案工作实现数字化转型,但对于相关规定的具体落实仍存在进一步精细化和优化的空间。

算力-热力灵活性协同的数据中心能量管理方法

随着数字经济产业快速发展,数据中心成为电能消耗的重要部分。多样化的数据处理需求、大量的计算用电及制冷用电,在带来高能耗问题的同时也为数据中心的运行调度提供了灵活性。因此,协同考虑计算灵活性和热灵活性,制定数据中心优化运行策略,可有效提高能源利用效率,提升数据中心运行经济性。该文提出一种考虑算力-热力灵活性协同的数据中心能量管理方法。首先,考虑数据负载灵活调度、冷却系统温度变化以及冷热通道热惯性等精细化要素,实现了信息技术设备和冷却设备的协同建模。其次,进行模型的线性化转换,降低了求解难度。在此基础上,实现了基于灵活性协同的数据中心能量管理,从而降低数据中心运行能耗及成本。最后通过算例验证了所提方法的有效性。

用户关系管理视角下大学图书馆空间再造实践与思考——以南京师范大学图书馆为例

“以用户为中心”是大学图书馆工作的战略目标和方法指引。在图书馆情境下,用户关系管理理论是“以用户为中心”的具体体现,对大学图书馆发展具有重要的指导作用,也对图书馆空间再造具有较强的适用性和实践价值。文章从用户关系管理视角,以南京师范大学空间再造为案例,探讨大学图书馆空间再造的实践思路,总结用户关系管理理论对大学图书馆空间再造的实践价值,并提出数智时代图书馆空间再造的几点思考。

面向数字政府建设的病案数据治理体系:框架建构与实施路径

数字中国战略背景下,病案数据共享复用成为掣肘医疗健康数据服务赋能数字政府建设的“瓶颈”,开展病案数据治理研究是应时之举。基于对现有研究及国内外病案数据开发利用相关案例进行分析并总结存在的问题,在此基础上构建了以治理目标、治理主体、治理客体、治理过程、治理要素为框架的病案数据治理体系的顶层设计,并探索多元主体协同合作、加强病案数据资源建设、体制机制创新和一体化平台构建、制度管理和技术实现双管齐下等实施路径。面向数字政府建设的病案数据治理体系,必须在政府主导下,建立跨领域、跨专业的病案数据管理中心,构建医疗机构—病案数据管理中心—数字政府公共服务一体化平台,实现不同机构、不同地区之间的病案数据整合、共享和复用,为完善民生信息服务体系建设提供病案数据支撑,为数字政府建设赋能。

战略需求导向下的资金集中管理模式变革研究——基于美的集团的纵向案例分析

基于美的集团纵向单案例,分析企业资金集中管理模式随战略需求变化而动态调整的实施效果。研究发现,从机会成长阶段—规模成长阶段—优化升级阶段,美的集团战略需求呈现出“异地扩张—产业扩张—国际化与多元化扩张”的变化态势,其资金集中管理模式经历了“结算中心异地结算模式—数据大集中模式—财务公司”的动态调整,资金集中管理模式对应职能也在动态调整中完成了“异地资金管理能力—跨业务协调能力—金融发展能力”的叠加。美的集团根据战略需求变化动态调整资金集中管理模式是资金集中管理活动成功的关键,这一研究发现对战略需求影响资金集中管理模式的理论解释提供了案例依据,也为集团企业的资金集中管理模式选择提供了启示。

校园数据治理体系的设计与实践

阐述智慧校园中的数据质量问题和数据治理策略,包括管理体系、技术体系中的数据中台的功能、总体架构、数据架构。分析数据治理服务与应用,实现数据接口服务、数据报表服务、数据填报服务、开展综合应用。