Approach of service recovery decision-making based on Bellman dynamic programming

Based on service-oriented architecture（SOA）,a Bellman-dynamic-programming-based approach of service recovery decision-making is proposed to make valid recovery decisions.Both the attribute and the process of services in the controllable distributed information system are analyzed as the preparatory work.Using the idea of service composition as a reference,the approach translates the recovery decision-making into a planning problem regarding artificial intelligence （AI） through two steps.The first is the self-organization based on a logical view of the network,and the second is the definition of evaluation standards.Applying Bellman dynamic programming to solve the planning problem,the approach offers timely emergency response and optimal recovery source selection,meeting multiple QoS （quality of service）requirements.Experimental results demonstrate the rationality and optimality of the approach,and the theoretical analysis of its computational complexity and the comparison with conventional methods exhibit its high efficiency.

RF-CLASS： A remote-sensing-based flood crop loss assessment cyber-service system for supporting crop statistics and insurance decision-making

Floods often cause significant crop loss in the United States. Timely and objective information on flood-related crop loss, such as flooded acreage and degree of crop damage, is very important for crop monitoring and risk management in ag- ricultural and disaster-related decision-making at many concerned agencies. Currently concerned agencies mostly rely on field surveys to obtain crop loss information and compensate farmers＇ loss claim. Such methods are expensive, labor intensive, and time consumptive, especially for a large flood that affects a large geographic area. The results from such methods suffer from inaccuracy, subjectiveness, untimeliness, and lack of reproducibility. Recent studies have demonstrated that Earth observation （EO） data could be used in post-flood crop loss assessment for a large geographic area objectively, timely, accurately, and cost effectively. However, there is no operational decision support system, which employs such EO-based data and algorithms for operational flood-related crop decision-making. This paper describes the development of an EO-based flood crop loss assessment cyber-service system, RF-CLASS, for supporting flood-related crop statistics and insurance decision-making. Based on the service-orientated architecture, RF-CLASS has been implemented with open interoperability specifications to facilitate the interoperability with EO data systems, particularly the National Aeronautics and Space Administration （NASA） Earth Observing System Data and Information System （EOSDIS）, for automatically fetching the input data from the data systems. Validated EO algorithms have been implemented as web services in the system to operationally produce a set of flood-related products from EO data, such as flood frequency, flooded acreage, and degree of crop damage, for supporting decision-making in flood statistics and flood crop insurance policy. The system leverages recent advances in the remote sensing-based flood monitoring and assessment, the near-real-time availability of EO data, the service-oriented architecture, geospatial interoperability standards, and the standard-based geospatial web service technology. The prototypical system has automatically generated the flood crop loss products and demonstrated the feasibility of using such products to improve the agricultural decision-making. Evaluation of system by the end-user agencies indicates that significant improvement on flood-related crop decision-making has been achieved with the system.

Discussion on Improving Decision-making Meteorological Service Level of County-level Meteorological Station

Based on experience of meteorological service at county-level meteorological station in recent 20 years,status quo of decision-making meteorological service,main influence factors of decision-making meteorological service and writing of decision-making meteorological service materials are analyzed,and measures and suggestions of improving decision-making meteorological service level are proposed. The research aims to improve public meteorological service level at grass-roots level,provide scientific decision-making basis for government departments preventing and reducing disaster,and reduce loss of life and property of the country and people caused by meteorological disasters to the maximum extent.

Decision-Making Model of Public Service Facility Configuration in Multi-agent Communities and Its Application

The decision.making process of the public service facility configuration in multi.agent community is usually simplistic and static. In order to reflect dynamic changes and interactions of all behavior subjects induding of residents, real estate developers and the government, a decision-making model of public service facility configuration according to the multi-agent theory was made to improve the efficiency of the public service facility configuration in community and the living quality of residents. Taking a community to the cast of Jinhui Port in Fengxian District in Shanghai for example, the model analyzed the decision-makers＇ adaptive behaviors and simulated the decision.making criteria. The results indicate that the decision-making model and criteria can be well of satisfying the purpose of improving validity and rationality of public service facility configuration in large community.

EVALUATION OF ECOLOGICAL SERVICES OF JILIN PROVINCE, NORTHEAST CHINA

The main purpose of this study is to give evaluation of ecological services of Jilin Province, Northeast China. To take this value into decision-making and GDP accounting system is considered to be one of the economic solutions for ecological problems. The evaluation is based on the methods proposed by COSTANZA et al., and some modifications about unit value of forest and cropland system were made according to the real characters of ecosystem, climate, natural conditions etc., in Jilin Province. Total value of ecosystem services is about 554.404x10(9) yuan(RMB)/a, which is about 4.9 times of GDP of the corresponding period. The results of this study could be used as a fundamental work for the construction of ecological province, which was carried out from 2001, and could provide ecological information for decision-making. Furthermore, the necessities for the further studies on the evaluation of ecological services and natural capital were discussed.

Analysis of Critical Factors in Manufacturing by Adopting a Cloud Computing Service

The advantages of a cloud computing service are cost advantages,availability,scalability,flexibility,reduced time to market,and dynamic access to computing resources.Enterprises can improve the successful adoption rate of cloud computing services if they understand the critical factors.Tofind critical factors,this studyfirst reviewed the literature and established a three-layer hierarch-ical factor table for adopting a cloud computing service based on the Technology-Organization-Environment framework.Then,a hybrid method that combines two multi-criteria decision-making tools—called the Fuzzy Analytic Network Process method and the concept of VlseKriterijumska Optimizacija I Kompromisno Resenje acceptable advantage—was used to objectively identify critical factors for the adop-tion of a cloud computing service,replacing the subjective decision of the authors.The results of this study determinedfive critical factors,namely data access secur-ity,information transmission security,senior management support,fallback cloud management,and employee acceptance.Finally,the paper presents thefindings and implications of the study.

An Integrated Framework for Cloud Service Selection Based on BOM and TOPSIS

Many businesses have experienced difficulties in selecting a cloud service provider(CSP)due to the rapid advancement of cloud computing services and the proliferation of CSPs.Many independent criteria should be considered when evaluating the services provided by different CSPs.It is a case of multi-criteria decision-making(MCDM).This paper presents an integrated MCDM cloud service selection framework for determining the most appropriate service provider based on the best only method(BOM)and technique for order of preference by similarity to ideal solution(TOPSIS).To obtain the weights of criteria and the relative importance of CSPs based on each criterion,BOM performs pairwise comparisons of criteria and also for alternatives on each criterion,and TOPSIS uses these weights to rank cloud alternatives.An evaluation and validation of the proposed framework have been carried out through a use-case model to prove its efficiency and accuracy.Moreover,the developed framework was compared with the analytical hierarchical process(AHP),a popular MCDM approach,based on two perspectives:efficiency and consistency.According to the research results,the proposed framework only requires 25%of the comparisons needed for the AHP approach.Furthermore,the proposed framework has a CR of 0%,whereas AHP has 38%.Thus,the proposed framework performs better than AHPwhen it comes to computation complexity and consistency,implying that it is more efficient and trustworthy.

An Adaptive Hybrid Optimization Strategy for Resource Allocation in Network Function Virtualization

With the rapid development of Network Function Virtualization(NFV),the problem of low resource utilizationin traditional data centers is gradually being addressed.However,existing research does not optimize both localand global allocation of resources in data centers.Hence,we propose an adaptive hybrid optimization strategy thatcombines dynamic programming and neural networks to improve resource utilization and service quality in datacenters.Our approach encompasses a service function chain simulation generator,a parallel architecture servicesystem,a dynamic programming strategy formaximizing the utilization of local server resources,a neural networkfor predicting the global utilization rate of resources and a global resource optimization strategy for bottleneck andredundant resources.With the implementation of our local and global resource allocation strategies,the systemperformance is significantly optimized through simulation.

大数据时代图书馆知识服务的创新

介绍大数据的特征及其对图书馆参考咨询服务带来的巨大冲击,指出图书馆必须利用大数据原理和技术创新服务方式与途径,包括自助模式、个性化知识智能推送服务、整合异类资源、开发移动数字图书馆、建立网络化信息资源智能组合方式等,列举实际应用案例予以说明。

科技信息咨询服务的提供主体选择研究

对政府和行业协会两种不同主体为企业提供科技信息咨询服务时的运行效率进行了对比分析。分析结果显示,行业协会比政府更具有效率优势,主要体现为:行业协会作为提供主体为企业提供服务时,能更准确地反映企业偏好,能够为企业提供多样化的服务产品,避免效率损失。

图书馆网上咨询服务探讨

阐述了网上参考咨询服务的基本方式,介绍了图书馆网上咨询馆员可以利用的资源,提出了做好图书馆网上咨询工作的对策。

高校图书管理的定位与网络图书的发展——兼论新形势下如何认识和处理图书馆与资料室的关系

指出高校图书馆与院系资料室必须转变观念,实现资源共享、共同发展的新模式,提出应在图书馆统一管理下建立有信息资源特色、以参考咨询服务为主的资料室。

高校图书馆网络信息咨询服务发展趋势研究

分析了当前高校图书馆网络信息咨询服务工作的现状,探讨了信息社会高校图书馆网络信息咨询服务的未来发展趋势。

基于科技创新的高校信息咨询改进措施

阐述了高校与科技创新、科技创新与信息咨询的关系,针对科技创新对信息知识的需求,分析了目前高校图书馆在信息咨询工作中存在的问题,并提出相应的改进措施。

试论网络环境下高校图书馆的参考咨询工作

分析了网络环境下高校图书馆参考咨询工作的新特点,提出了做好网络环境下的参考咨询工作的措施,包括完善参考咨询工作机构、拓展参考咨询的服务内容、创新参考咨询的服务方式、提高参考咨询人员综合素质。

财务咨询服务机构的营销策略分析

财务咨询服务逐渐成为许多企业实现财务外包的主要对象,由于它结构小,反应灵敏,市场潜力巨大。在综合分析我国财务咨询服务的现状、开展营销的必要性和主要营销障碍的基础上,重点分析了财务咨询服务的内容与特征,针对性地提出财务咨询服务机构实施顾客满意、一对一、服务营销组合以及营销伦理等4个方面的营销策略。

对参考咨询服务特点及其地位的再认识

分析了图书馆参考咨询服务的新特点,从参考咨询服务的内涵、地位两方面,探讨了参考咨询服务对图书馆和社会的重要性。

高校图书馆的考研咨询服务探析

随着考研热潮的逐渐形成,如何为高校考研学生提供优质的服务,是高校图书馆参考咨询服务面临的一项重要工作。从提供信息性服务、知识性服务、个性化服务以及提高咨询馆员的素质等几方面提出了搞好考研咨询服务工作的对策与措施。

网络技术在图书馆参考咨询工作中的运用

分析了网络条件下的参考咨询服务手段,包括用网络技术揭示和检索馆藏、网上咨询服务、网络导航服务等,阐述了网络条件下对参考咨询员的素质要求。

图书馆参考咨询工作的整体思路概述

介绍了参考咨询的概念、内容与特点,阐述了参考咨询机构及参考信息源的建设,列出了参考咨询的方法。