引汉济渭工程运行调度综合服务平台的应用实践

针对引汉济渭工程运行调度的实际需求和特点,基于云计算技术,采用面向服务的体系结构(SOA)和JAVA EE平台技术架构,研发了基于云服务架构的引汉济渭工程运行调度综合服务平台,建立了基于平台、组件、知识图及可视化工具灵活搭建的引汉济渭工程运行调度业务应用系统构建模式,形成基于平台、基于组件、基于主题、基于可视化的应用模式,解决了传统的工程运行调度系统应用性差、功能单一、可扩展性差及应用模式单一等问题。通过平台提供工程运行调度业务服务,为工程联合调度提供技术支撑。     

Miscibility of oligomeric poly(dimethyl siloxanes) with long-chain unbranched alkanes: 2. Unsymmetrical cloud point curves

Previously obtained cloud point curves for mixtures of oligomeric poly(dimethyl siloxanes) (weight fraction W₁) with oligomeric polyethylenes have been supplemented by the use of samples of higher molecular weight. Initial flat regions at low-medium W₁ as well as a slight shoulder at extremely high W₁ are now considered to be due to crystallization, since the temperatures at which they occur are the melting points of the oligoethylenes. The actual cloud point curves were of an unsymmetrical dome shape, the form of which could not be simulated by using a concentration-independent interaction parameter g in the Flory-Huggins equation. However, spinodals calculated by assuming a quadratic dependence of g on composition were of the same shape as the experimental cloud point curves. The critical compositions calculated on this basis were also close to the experimental ones.     

Joint routing and location-based service in VANETs

Geographic routing protocols use location information when they need to route packets. In the meantime, location information are maintained by location-based services provided by network nodes in a distributed manner. Routing and location services are very related but are used separately. Therefore, the overhead of the location-based service is not considered when we evaluate the geographic routing overhead. Our aim is to combine routing protocols with location-based services in order to reduce communication establishment latency and routing overhead.     

Multi-tier service differentiation by coordinated learning-based resource provisioning and admission control

Multiple Internet applications are often hosted in one datacenter, sharing underlying virtualized server resources. It is important to provide differentiated treatment to co-hosted applications and to improve overall system performance by efficient use of shared resources. Challenges arise due to multi-tier service architecture, virtualized server infrastructure, and highly dynamic and bursty workloads. We propose a coordinated admission control and adaptive resource provisioning approach for multi-tier service differentiation and performance improvement in a shared virtualized platform. We develop new model-independent reinforcement learning based techniques for virtual machine (VM) auto-configuration and session based admission control. Adaptive VM auto-configuration provides proportional service differentiation between co-located applications and improves application response time simultaneously. Admission control improves session throughput of the applications and minimizes resource wastage due to aborted sessions. A shared reward actualizes coordination between the two learning modules. For system agility and scalability, we integrate the reinforcement learning approach with cascade neural networks. We have implemented the integrated approach in a virtualized blade server system hosting RUBiS benchmark applications. Experimental results demonstrate that the new approach meets differentiation targets accurately and achieves performance improvement of applications at the same time. It reacts to dynamic and bursty workloads in an agile and scalable manner.     

Self-scaling cooperative discovery of service compositions in unstructured P2P networks

We propose an efficient technique for improving the performance of automatic and cooperative compositions in unstructured Peer-to-Peer networks during service discovery. The technique exploits a probabilistic forwarding algorithm that uses different sources of knowledge, such as network density and service grouping, to reduce the amount of messages exchanged in the network. The technique, analysed in several network configurations by using a simulator to observe resolution time, recall and message overhead, presents good performance especially in dense and large-scale service networks.     

移动平台闸站监控系统的设计与实现

针对水利闸站监控系统对于应急信息和措施的需求, 提出了移动平台水利闸站监控系统。首先分析了系统的 整体框架结构, 然后实现了一套移动客户端软件完成水利闸站监控的功能。将手机客户端与云平台服务器相连, 通 过网络通信方式获取闸站现场传感器信息, 远程采集和存储数据, 客户端移动终端系统具有前端处理与计算能力通 过移动无线网络访问服务器, 实现了对多控制节点的远程监控。结果表明该系统能及时有效地获取闸站水利信息 并进行调度, 提高了水利信息化水平。     

一种融合服务满意度的多因素感知云服务性能预测策略

提出了一种多因素感知的云服务性能预测策略,它基于综合权衡服务提供商的利益,通过合理定价和性能保障来量化和优化服务满意度,并以之驱动性能预测,并引入效用理论实现服务满意度的合理定价.最后通过模拟实验表明,它能够降低SLA破坏率,有效提高云服务的资源利用率.     

基于经纬网格的递增KNN位置隐私保护查询算法

为了在使用基于位置的服务时用户的位置信息不被不可信的位置服务提供商所泄漏,k-匿名位置隐私保护已被广泛研究.然而在集中匿名器被黑客控制时原k-匿名算法会泄漏所有用户的位置隐私,在进行k个最近邻目标查询时对网络的负载较重,而SpaceTwist算法又不能保证k-匿名.提出了一种基于经纬网格的递增KNN位置隐私保护查询算法,将经典的k-匿名算法与SpaceTwist算法相杂交,并引入经纬网格代替原来精确的位置上报给集中匿名器,从而解决了上述问题.实验证明基于经纬网格的递增KNN查询算法比较节省从集中匿名器到位置服务提供商的服务器之间的网络流量.     

一种基于同态标签的动态云存储数据完整性验证方法

在云存储服务中,为使用户可以随时验证存储在云存储服务器上数据的完整性,提出一种基于同态标签的动态数据完整性验证方法。通过引入同态标签和用户随机选择待检测数据块,可以无限次验证数据是否完好无损,并支持数据动态更新;可信第三方的引入解决了云用户与云存储服务供应商因数据完整性问题产生的纠纷,实现数据完整性的公开验证;然后给出该方法的正确性和安全性分析,以及该方法的性能分析;最后通过实验验证了该方法是高效可行的。     

二维多层次的云服务可靠性评估方法研究

针对云服务业务流程管理的特点, 给出了云服务的组合实现框架; 依据随机Petri网的建模理论, 探讨了组合云服务流程网模型的细粒度建模方法; 根据动态多变的用户需求, 设计了二维多层次的云服务组合可靠性动态评估框架, 并给出了马尔可夫过程和等值约简的两种可靠性计算方法。应用示例分析结果表明, 该方法具有较好的动态适应性和灵活性, 能有效满足云服务的可靠性评估需求。