关于网络服务数据传输可信度评估仿真

对网络服务数据传输可信度的评价,能够有效提升整个网络运行的可靠性。对数据传输可信度的评估过程,需要计算可信度评估指标,定义网络服务数据丢失率,完成可信度评估。传统方法对网络服务数据进行单向化分解,据此获得数据传输单向模型,但忽略了定义网络服务数据丢失率,导致评估精度偏低。提出可信度指标的网络安全测试下网络服务数据传输可信度评估方法。该方法首先考虑网络服务数据传输节点发送功率以及链路的信道质量对网络服务数据传输可信度的影响,分别组建网络服务数据传输模型、能量模型、链路模型,计算出网络服务数据传输可信度评估指标,定义网络服务数据传输时延和分组丢失率表征网络性能可信度的指标,由此组建网络服务数据传输可信度评估模型。实验结果表明,所提方法能够获得较为全面的网络服务数据传输可信度评估结果,鲁棒性较强。

基于Mahout框架的社交网络服务数据过滤算法

针对目前社交网络服务数据中充斥着大量垃圾数据和广告数据的现状,提出一种基于Mahout框架的数据过滤算法。首先,采用Mahout框架对原始数据中的语素进行分析,得出具有特定语素的单词;然后,根据语素分析结果数据分类生成器为每个生成的语素词分配相应的权重,并得出对应句子的评估值;最后,将评估值与不同类别数据的参考值加以比较完成数据的分类,从而实现社交网络服务数据中有价值数据的过滤。仿真实验结果表明,该算法具有较好的过滤效果。

基于有理函数模型多源遥感数据网络服务设计

针对不同遥感数据校正方法不一致以及不同时相、载荷数据源间易失配等问题,提出了基于小波变换的快速匹配结果,解算卫星影像有理函数模型以自动建立一致成像几何模型的策略。进一步使用Oracle空间数据库进行数据层设计。根据遥感数据源数据量大、细节恢复度要求高的特点,且为兼顾传输效率,基于可缩放矢量图形格式进行栅格数据的压缩、传输及展示。经验证基于文中策略、多源遥感数据均能获得优于两个像素的高精度定位信息,可作为通用网络服务数据来源;Web服务客户端实现了实时对多源遥感数据的无缝浏览缩放、更新及缓存,保证了服务的实用性。

中文知识组织系统形式化语义描述标准体系研究(二)--分类法共享服务系统CLSS研究与实现

本文旨在为国内外分类法拥有者快速实现现有分类法的Web版、Web Service术语服务、Linked Data化和自动分类等网络共享服务提供参考和支持。以《中国图书馆分类法》第四版为例,采用CNKOS对分类法进行语义化描述,使用Lucene全文检索引擎、Ext Js插件、Axis SOAP引擎和URL Rewrite等关键技术实现了分类法共享服务(CLSS)原型系统。经验证明所有功能模块运行和调用都符合预期效果。实践证明该套解决方案可投入使用,而且其他分类法类型的中文知识组织系统均可依此方法快速完成相应的部署。但是,对于部分复杂的自动分类需求,如要获得更为准确的分类号还需更深入的研究或人工辅助。图5。表4。参考文献21。

大学生网络服务平台与数据中心的设计与实现

大学生网络服务平台与数据中心是一种新型的综合性网络服务平台,它通过建立公共的网络虚拟共享数据库,利用本地局域互联网实现网上资源共享,信息浏览、下载,从而实现局域化资源、信息共享,参考向导。大学生网络服务平台与数据中心是以曲阜师范大学为中心,以日照大学城为范围针对大学生分析建立的集二手商品买卖、学习资料下载、家教招聘兼职等功能于一体的综合型网络服务平台。实践证明,在消费人群年龄相仿、相对集中局域化地区,为了提高消费服务水平,建立网络服务平台与数据中心将成为大势所趋。

Research on Services Modeling in LTE Networks

Service modeling offers fundamental guidance to the construction and operation of mobile telecommunication networks. As the domestic LTE networks have been deployed massively, the refined LTE services model needs to be established urgently. In this paper, we firstly extract characteristic parameters of services from statistical data in 3G networks, especially in time, space and user dimension. Secondly, the development trends of LTE services are analyzed. And the refined LTE service model is established. Finally, prediction results of LTE service development in China is given, which could provide effi cient support for networks' optimization and evolution.

Ontology-based Knowledge Extraction from Hidden Web

Hidden Web provides great amount of domain-specific data for constructing knowledge services. Most previous knowledge extraction researches ignore the valuable data hidden in Web database, and related works do not refer how to make extracted information available for knowledge system. This paper describes a novel approach to build a domain-specific knowledge service with the data retrieved from Hidden Web. Ontology serves to model the domain knowledge. Queries forms of different Web sites are translated into machine-understandable format, defined knowledge concepts, so that they can be accessed automatically. Also knowledge data are extracted from Web pages and organized in ontology format knowledge. The experiment proves the algorithm achieves high accuracy and the system facilitates constructing knowledge services greatly.

Autonomic QoS Management Mechanism in Software Defined Network

With the increase of network complexity,the flexibility of network control and management becomes a nontrivial problem.Both Software Defined Network(SDN) and Autonomic Network technologies are sophisticated technologies for the network control and management.These two technologies could be combined together to construct a software defined self-managing solution for the future network.An autonomic QoS management mechanism in Software Defined Network(AQSDN) is proposed in this paper.In AQSDN,the various QoS features can be configured autonomically in an OpenFlow switch through extending the OpenFlow and OF-Config protocols.Based on AQSDN,a novel packet context-aware QoS model(PCaQoS) is also introduced for improving the network QoS.PCaQoS takes packet context into account when packet is marked and managed into forwarding queues.The implementation of a video application's prototype which evaluates the self-configuration feature of the AQSDN and the enhancement ability of the PCaQoS is presented in order to validate this design.

Mining and Modelling the Dynamic Patterns of Service Providers in Cellular Data Network Based on Big Data Analysis

Understanding the dynamic traffic and usage characteristics of data services in cellular networks is important for optimising network resources and improving user experience.Recent studies have illustrated traffic characteristics from specific perspectives,such as user behaviour,device type,and applications.In this paper,we present the results of our study from a different perspective,namely service providers,to reveal the traffic characteristics of cellular data networks.Our study is based on traffic data collected over a five-day period from a leading mobile operator's core network in China.We propose a Zipf-like model to characterise the distributions of the traffic volume,subscribers,and requests among service providers.Nine distinct diurnal traffic patterns of service providers are identified by formulating and solving a time series clustering problem.Our work differs from previous related works in that we perform measurements on a large quantity of data covering 2.2 billion traffic records,and we first explore the traffic patterns of thousands of service providers.Results of our study present mobile Internet participants with a better understanding of the traffic and usage characteristics of service providers,which play a critical role in the mobile Internet era.

Data service oriented networking analysis of TD-LTE system

The development of mobile internet and internet of things brings the vigorous developing data service, which increases need of bandwidth sharply. Operators strive to develop the data service oriented LTE(long term evolution)technology, especially TD-LTE (time division-LTE) technology adopting the spectral asymmetric. This paper analyzed details of TD-LTE system networking, and studied the feasibility of TD-LTE and TD-SCDMA(TD-synchronous code division multiple access) system with the same spectrum. At last, the paper provided suggestions on networking of TD-LTE system.

Grid Service Framework: Supporting Multi-Models Parallel Grid Programming

Web service is a grid computing technology that promises greater ease-of-use and interoperability than previous distributed computing technologies. This paper proposed Group Service Framework, a grid computing platform based on Microsoft. NET that use web service to: (1) locate and harness volunteer computing resources for different applications, and (2) support multi-models such as Master/Slave, Divide and Conquer, Phase Parallel and so forth parallel programming paradigms in Grid environment, (3) allocate data and balance load dynamically and transparently for grid computing application. The Grid Service Framework based on Microsoft. NET was used to implement several simple parallel computing applications. The results show that the proposed Group Service Framework is suitable for generic parallel numerical computing.

A Study on Indexing Efficiency and Retrieval Accuracy for Author Name Search of Academic Papers

Most academic information has its creator, that is, a subject who has created the information. The subject can be an individual, a group, or an institution, and can be a nation depending on the nature of the relevant information. Most web data are composed of a title, an author, and contents. A paper which is under the academic information category has metadata including a title, an author, keyword, abstract, data about publication, place of publication, ISSN, and the like. A patent has metadata including the title, an applicant, an inventor, an attorney, IPC, number of application, and claims of the invention. Most web-based academic information services enable users to search the information by processing the meta-information. An important element is to search information by using the author field which corresponds to a personal name. This study suggests a method of efficient indexing and using the adjacent operation result ranking algorithm to which phrase search-based boosting elements are applied, and thus improving the accuracy of the search results of author name. This method can be effectively applied to providing accurate search results in the academic information services.

Analysis on traffic characteristics and transmission efficiency of instant messager services

Traffic characteristics of several typical instant messager services under certain scenarios are firstly analyzed,based on real-time data collected in the commercial mobile network.Then criteria for the evaluation of the efficiency of the mobile network for the transmission of packet services are proposed in both transport layer and physical layer over air interface.The transmission efficiency of IM services is evaluated and compared under the proposed criteria.Furthermore,a so-called smart resource adaptation algorithm is verified in the effectiveness of improving the wireless transmission efficiency.Finally,improvements to the smart resource adaptation are proposed to further improve the wireless transmission efficiency,and its effectiveness is verified by the calculations.

Application of Management Information System Planning in Concurrent Engineering for Wooden Furniture Industry

This research is a development in management information system （MIS） planning based on operation analysis and development according to concurrent engineering approach and reestablishment of database management. According to our case study industry, such industry currently used traditional network systems such as LAN, and ＂Bus Network＂ Network Topology. Client/Server distributed computing has a problem with database management in data redundancy, data inconsistency, and data independency. For Network Topology, Bus Network has problem with multitasking since the network are able to handle only a set of data at a time so the traffic problem will occur when multiple users request for the service. Thus, such condition is inconsistent with concurrent engineering which must be able to access the data simultaneously. As a consequence, this study develops a network system, network system of working system, using LAN and ＂Star Network＂ network topology. The file server processing distributed is an application while database is stored in host computer or file server but the data will be processed in users＇ computer. When the user needs to access the data, file server will send it to the user and the user can further analysis or manage such data in the user computer, so called ＂Hierarchical Database Model＂. Hierarchical database structure is easily developed like general organization command structure with different level of responsibility. In details, the data level in the database is divided into three levels including DBI, DB2, and DB3, so development of simultaneously systemic flow and access of various critical data is performed in parallel. Furthermore, this is consistent with access of all three data levels including： Level 1 is overall dataflow of both inside and outside the organization; Level 2 is dataflow of each division in the organization; and Level 3 is dataflow of subunit in each division in the organization. After systemize flow and access of data with concurrent engineering as mentioned, it provided optimal efficiency in the whole production system management reducing loss in the whole system of the organization

Dynamic data packing towards the optimization of QoC and QoS in networked control systems

A class of networked control systems is investigated whose communication network is shared with other applications. The design objective for such a system setting is not only the optimization of the control performance but also the efficient utilization of the communication resources. We observe that at a large time scale the data packet delay in the communication network is roughly varying piecewise constant, which is typically true for data networks like the Internet. Based on this observation, a dynamic data packing scheme is proposed within the recently developed packet-based control framework for networked control systems. As expected this proposed approach achieves a fine balance between the control performance and the communication utilization: the similar control performance can be obtained at dramatically reduced cost of the communication resources. Simulations illustrate the effectiveness of the proposed approach.

Virtual network embedding for power savings of servers and switches in elastic data center networks

Currently, the elastic interconnection has realized the high-rate data transmission among data centers(DCs). Thus, the elastic data center network(EDCN) emerged. In EDCNs, it is essential to achieve the virtual network(VN) embedding, which includes two main components: VM(virtual machine) mapping and VL(virtual link) mapping. In VM mapping, we allocate appropriate servers to hold VMs. While for VL mapping,an optimal substrate path is determined for each virtual lightpath. For the VN embedding in EDCNs, the power efficiency is a significant concern, and some solutions were proposed through sleeping light-duty servers.However, the increasing communication traffic between VMs leads to a serious energy dissipation problem, since it also consumes a great amount of energy on switches even utilizing the energy-efficient optical transmission technique. In this paper, considering load balancing and power-efficient VN embedding, we formulate the problem and design a novel heuristic for EDCNs, with the objective to achieve the power savings of servers and switches. In our solution, VMs are mapped into a single DC or multiple DCs with the short distance between each other, and the servers in the same cluster or adjacent clusters are preferred to hold VMs. Such that, a large amount of servers and switches will become vacant and can go into sleep mode. Simulation results demonstrate that our method performs well in terms of power savings and load balancing. Compared with benchmarks, the improvement ratio of power efficiency is 5%–13%.

Network-based naive Bayes model for social network

Naive Bayes(NB) is one of the most popular classification methods. It is particularly useful when the dimension of the predictor is high and data are generated independently. In the meanwhile, social network data are becoming increasingly accessible, due to the fast development of various social network services and websites. By contrast, data generated by a social network are most likely to be dependent. The dependency is mainly determined by their social network relationships. Then, how to extend the classical NB method to social network data becomes a problem of great interest. To this end, we propose here a network-based naive Bayes(NNB) method, which generalizes the classical NB model to social network data. The key advantage of the NNB method is that it takes the network relationships into consideration. The computational efficiency makes the NNB method even feasible in large scale social networks. The statistical properties of the NNB model are theoretically investigated. Simulation studies have been conducted to demonstrate its finite sample performance.A real data example is also analyzed for illustration purpose.