网格服务挖掘:一种基于OGSA的新型计算范例

为了满足网格用户定制计算任务的需求，提出了一种基于开放网格服务体系结构(OGSA)的新型计算范例——网格服务挖掘(GSM)，以及适用于GSM的软件构架——网格服务挖掘框架(FGSM)。描述了网格服务挖掘的思想、概念和原理，并分析了WSM实现过程中的关键技术。阐述了一种基于agent的FGSM的实现方法，提出了利用服务规范进行网格服务组合的方式，给出了一种基于面向特征的领域分析的GSM算法。把FGSM应用于构建四川省交通厅电子政务系统，结果表明该框架具有良好的可扩展性、可定制性和可靠性。     

Web集群服务器中基于多类限定延迟的区分服务机制

针对Web集群服务器中的区分服务机制存在资源利用率不足的问题，提出了一种基于多类限定延迟的区分服务（MCDDS）机制．该机制使得低优先类的用户请求可以占用高优先类的用户请求未使用的资源来提高资源利用率．通过结合优先级调度策略和排队论，建立了各优先类的用户请求实时检测参数与限定延迟间的数学公式，以实现动态的接纳控制和分发策略，达到控制各优先类的用户请求延迟的目的．对MCDDS与现有的机制进行了模拟实验，结果表明，在高负载下系统的资源利用率提高了61％，且MCDDS机制能控制各优先类的用户请求延迟在限定的延迟范围之内．     

门户风格定制的设计与实现

什么是风格定制 portal展示的信息可加以定制（即个性化），为不同的用户提供个性化的信息或界面表示，为不同角色的用户提供个性化服务。这种个性化特点节省了用户的时间，并提供了安全保证，因为它们只能看到那些他们感兴趣的或他们有权限访问的信息。例如，经理可吼快速地处理当天的紧急信息，而商业分析者们在做诸如详细的财务或供应链优化分析时可以挖掘不同层次的信息。     

基于模式的个性化服务定制方法

在服务互联网环境下,大量的用户需求可能被不同的用户同时提出。如何针对用户的个性化需求快速有效地构造服务解决方案是一个值得研究的问题。文中提出了一种基于模式的个性化服务定制方法,通过实验验证了文中所提算法的有效性。首先,利用历史服务请求及服务解决方案识别出的需求模式和服务模式,建立需求模式和服务模式之间的匹配关系。然后,提出一种基于模式的个性化服务定制算法（LPSC）来处理用户的个性化需求。在LPSC算法中,对于每个用户的个性化需求,根据用户需求的相似度进行分类构造虚拟需求。再用有限个数的需求模式去替代虚拟需求,通过需求模式与服务模式的匹配关系找到需求模式对应的最佳服务模式集,通过服务模式的组合来产生最终的服务解决方案。     

服务动态发现机制研究

服务的动态发现是分布式服务框架的一种基本要求，提出了一种实现服务动态发现的D^2发现机制，利用抽象服务的思想，把功能上同抽象服务有重叠的实际服务的信息汇集在一起，服务消费时根据请求信息和描述信息动态发现实际服务，为用户提供服务．D^2发现机制避免了动态发现服务需要的复杂语义描述，服务请求者如同使用普通服务一样访问抽象服务就可以动态地发现实际服务并访问服务功能。     

基于区分服务的IP QoS控制策略研究及性能评价

针对目前IP网络亟待解决的QoS问题，分析了区分服务(DiffServ)模型的体系结构，研究了区分服务实现IP QoS的控制策略，包括支持区分服务的各种缓冲管理、队列调度算法及拥塞控制机制．最后用网络仿真软件NS2在Linux环境下搭建了实现区分服务的仿真实验平台，在该平台上对区分服务模型进行了模拟测试和性能评价．     

电子政务系统引入"主题智能公文包"服务的研究

利用数理统计、知识推理原理,采用智能代理、信息推送等技术,提出在系统内建立利于用户自身习惯的方便快捷的信息定制服务(即主题智能公文包)功能模型.通过该模型,用户可以获得即时、主动、个性化的信息服务,并且能够便捷地获取所需信息.     

基于QoS的分级选择策略

讨论了QoS组成要素，提出了一种基于QoS的分级顺序服务策略．该策略是在服务质量保证协议（QoSGP）的基础上，将用户分成不同优先权的三个等级，按优先权从高到低为：VIP用户、IP用户和Common用户，不同等级的用户采用不同的服务质量计算方法，等级内则采用顺序或随机顺序的服务策略．从实验结果可知，该策略满足了不同层次用户的请求服务质量要求，最大限度地让各用户满意，并提高系统的整体服务质量．     

设计知识服务系统的知识获取

为了有效解决设计知识服务系统的知识获取问题，为设计者提供有效、准确的设计知识服务，从而提高设计效率，在分析涟波下降规则方法的基础上，提出了基于涟波下降规则的设计知识服务模型．并进一步分析了该系统的知识获取过程，结合不同类型的设计知识的特点，通过涟波下降规则有效的实现了经验设计知识的获取，在专家进行设计过程中可以及时对专家的知识进行获取、组织及应用，且通过和用户进行交互，对知识逐步进行处理和加工。使得能够向用户提供所需要的知识及服务。最后通过一个应用实例，验证了该设计知识服务模型的有效性。     

基于服务级别和流量控制的网络计费 

提出基于多级服务和流量控制的网络计费系统，克服了传统计费方式的不足。介绍了计费系统的基本原理，给出了计费系统逻辑模型以及关键模块的算法实现。最后，对数据、音频和视频三种业务分别进行了实验仿真分析。实验结果表明：与传统计费方案相比，我们提出的计费方案对不同用户更具公平性，用户可以根据业务需要灵活选择接入带宽和服务质量，服务提供商也可利用价格杠杆，优化网络流量，合理配置网络资源。     

Characterization of Ordovician carbonate reservoirs, southeastern Saskatchewan, Canada

The discovery of the prolific Ordovician Red River reservoirs in 1995 in southeastern Saskatchewan was the catalyst for extensive exploration activity which resulted in the discovery of more than 15 new Red River pools. The best yields of Red River production to date have been from dolomite reservoirs. Understanding the processes of dolomitization is, therefore, crucial for the prediction of the connectivity, spatial distribution and heterogeneity of dolomite reservoirs.The Red River reservoirs in the Midale area consist of 3～4 thin dolomitized zones, with a total thickness of about 20 m, which occur at the top of the Yeoman Formation. Two types of replacement dolomite were recognized in the Red River reservoir: dolomitized burrow infills and dolomitized host matrix. The spatial distribution of dolomite suggests that burrowing organisms played an important role in facilitating the fluid flow in the backfilled sediments. This resulted in penecontemporaneous dolomitization of burrow infills by normal seawater. The dolomite in the host matrix is interpreted as having occurred at shallow burial by evaporitic seawater during precipitation of Lake Almar anhydrite that immediately overlies the Yeoman Formation. However, the low δ18O values of dolomited burrow infills (-5.9‰～ -7.8‰, PDB) and matrix dolomites (-6.6‰～ -8.1‰, avg. -7.4‰ PDB) compared to the estimated values for the late Ordovician marine dolomite could be attributed to modification and alteration of dolomite at higher temperatures during deeper burial, which could also be responsible for its 87Sr/86Sr ratios (0.7084～0.7088) that are higher than suggested for the late Ordovician seawaters (0.7078～0.7080). The trace amounts of saddle dolomite cement in the Red River carbonates are probably related to "cannibalization" of earlier replacement dolomite during the chemical compaction.     

An Index mechanism for multi-scale view in spatial databases

There are numerous geometric objects stored in the spatial databases. An importance function in a spatial database is that users can browse the geometric objects as a map efficiently. Thus the spatial database should display the geometric objects users concern about swiftly onto the display window. This process includes two operations:retrieve data from database and then draw them onto screen. Accordingly, to improve the efficiency, we should try to reduce time of both retrieving object and displaying them. The former can be achieved with the aid of spatial index such as R-tree, the latter require to simplify the objects. Simplification means that objects are shown with sufficient but not with unnecessary detail which depend on the scale of browse. So the major problem is how to retrieve data at different detail level efficiently. This paper introduces the implementation of a multi-scale index in the spatial database SISP (Spatial Information Shared Platform) which is generalized from R-tree. The difference between the generalization and the R-tree lies on two facets: One is that every node and geometric object in the generalization is assigned with a importance value which denote the importance of them, and every vertex in the objects are assigned with a importance value,too. The importance value can be use to decide which data should be retrieve from disk in a query. The other difference is that geometric objects in the generalization are divided into one or more sub-blocks, and vertexes are total ordered by their importance value. With the help of the generalized R-tree, one can easily retrieve data at different detail levels.Some experiments are performed on real-life data to evaluate the performance of solutions that separately use normal spatial index and multi-scale spatial index. The results show that the solution using multi-scale index in SISP is satisfying.     

A computer generator for randomly layered structures

AcomputergeneratorforrandomlylayeredstructuresYUJia shun1,2,HEZhen hua2(1.TheInstituteofGeologicalandNuclearSciences,NewZealand;2.StateKeyLaboratoryofOilandGasReservoirGeologyandExploitation,ChengduUniversityofTechnology,China)Abstract:Analgorithmisintrod…     

海南岛地体及其毗邻陆缘晚中生代—新生代古地磁研究和构造演化

本文叙述了对海南岛及其毗邻大陆边缘白垩纪到第四纪地层岩石进行古地磁研究的全部工作过程。通过分析岩石中剩余磁矢量的磁偏角及磁倾角的变化,提出海南岛白垩纪以来经历的构造演化模式如下:早期伴随顺时针旋转而向南迁移,后期伴随逆时针转动并向北运移。联系该地区及邻区的地质、地球物理资料,对海南岛上述的构造地体运动提出以下认识:北部湾内早期有一拉张作用,主要是该作用使湾内地壳显著伸长减薄,形成北部湾盆地。从而导致了海南岛的早期构造运动,而海南岛后期的构造运动则主要是受南海海底扩张的影响。海南地体运动规律的阐明对于了解北部湾油气盆地的形成演化有重要的理论和实际意义。     

Exciton Seebeck in Molecular Systems

Various applications relevant to the exciton dynamics,such as the organic solar cell,the large-area organic light-emitting diodes and the thermoelectricity,are operating under temperature gradient.The potential abnormal behavior of the exicton dynamics driven by the temperature difference may affect the efficiency and performance of the corresponding devices.In the above situations,the exciton dynamics under temperature difference is mixed with     

Achieving Unusual States of Matter Under High Pressure

The elongation method,originally proposed by Imamura was further developed for many years in our group.As a method towards O(N)with high efficiency and high accuracy for any dimensional systems.This treatment designed for one-dimensional(ID)polymers is now available for three-dimensional(3D)systems,but geometry optimization is now possible only for 1D-systems.As an approach toward post-Hartree-Fock,it was also extended to     

《Chinese Science Bulletin》SUBJECT INDEX TO VOLUME 59(2014)

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An on-line scaling method for improving scalability of a database cluster

The explosive growth of the Internet and database applications has driven database to be more scalable and available, and able to support on-line scaling without interrupting service. To support more client's queries without downtime and degrading the response time, more nodes have to be scaled up while the database is running. This paper presents the overview of scalable and available database that satisfies the above characteristics. And we propose a novel on-line scaling method. Our method improves the existing on-line scaling method for fast response time and higher throughputs. Our proposed method reduces unnecessary network use, i.e. , we decrease the number of data copy by reusing the backup data. Also, our on-line scaling operation can be processed parallel by selecting adequate nodes as new node. Our performance study shows that our method results in significant reduction in data copy time.     

An improved R-tree based on childnode''s probability

R-Tree is a good structure for spatial searching. But in this indexing structure,either the sequence of nodes in the same level or sequence of traveling these nodes when queries are made is random. Since the possibility that the object appears in different MBR which have the same parents node is different, if we make the subnode who has the most possibility be traveled first, the time cost will be decreased in most of the cases. In some case, the possibility of a point belong to a rectangle will shows direct proportion with the size of the rectangle. But this conclusion is based on an assumption that the objects are symmetrically distributing in the area and this assumption is not always coming into existence. Now we found a more direct parameter to scale the possibility and made a little change on the structure of R-tree, to increase the possibility of founding the satisfying answer in the front sub trees. We names this structure probability based arranged R-tree (PBAR-tree).     

Integrating GIS Web services based on mediating architecture

The geographic information service is enabled by the advancements in general Web service technology and the focused efforts of the OGC in defining XML-based Web GIS service. Based on these models, this paper addresses the issue of services chaining,the process of combining or pipelining results from several interoperable GIS Web Services to create a customized solution. This paper presents a mediated chaining architecture in which a specific service takes responsibility for performing the process that describes a service chain. We designed the Spatial Information Process Language (SIPL) for dynamic modeling and describing the service chain, also a prototype of the Spatial Information Process Execution Engine (SIPEE) is implemented for executing processes written in SIPL. Discussion of measures to improve the functionality and performance of such system will be included.