基于Web services的WebGISVisA体系结构研究与实现*

针对目前网络地理信息系统体系结构难以实现Internet环境下的异构空间信息的互操作问题,深入分析其主要原因,在对现有网络地理信息系统的三层体系结构进行深入分析的基础上,提出一种基于Web services的网络地理信息系统体系结构(Web-based geographical information services visualization architecture,WebGISVisA).WebGISVisA体系结构通过Web services对各个地理信息系统组件进行包装,实现各个组件的跨平台操作,从技术上使得客户端和服务端达到了负载平衡,完成了WebGIS三维的虚拟现实,实现了在Internet下空间数据互操作和跨平台的功能,最大限度地达到数据共享.     

支持上下文感知服务的中间件原型*

提出了基于传感器网络环境的上下文感知应用开发中间件原型的体系结构MidCASE,重点阐述了中间件的体系结构设计和软件运行时基于服务的分布式运行架构.讨论了上下文感知过程中的两个关键问题,包括上下文信息建立的方法和感知过程中上下文信息与高层通信的调度模型.最后,以该中间件原型为基础,通过在医疗护理的场景下实现上下文感知应用并证明了其易用性与支撑作用.     

园区综合能源服务利益方运营关系和经营战略

作为综合能源服务领域当前最具落地条件的领域,园区综合能源服务已受到工业、学术界越来越多的关注。园区综合能源服务相关利益方之间存在复杂的业务和利益耦合,亟须通过研究梳理利益方运营关系,指导园区综合能源服务的健康有序发展。通过分析园区综合能源服务的能量流、信息流与资金流,得出利益方运营关系。基于此,以电网企业为例,提出了开展园区综合能源服务发展的经营管理战略,即按照“以点带线、以点带面”的市场开拓思路,以示范项目为引领,拓展综合能源服务项目落地。     

基于不同受益者的莫莫格湿地生态系统服务权重分析

为了明确不同区域和不同社会身份受益者对湿地生态系统服务的关注程度,为今后湿地生态系统服务的管理和政策制定提供依据,以吉林省莫莫格国家级自然保护区为研究对象,运用层次分析法从当地受益者、省域受益者、全国受益者和全球受益者四个层次以及年龄、收入、职业和教育背景等社会属性对莫莫格湿地的物质生产、调蓄洪水、固碳、气候调节、大气调节、水质净化、科研教育和休闲旅游等8项服务进行比较并打分,得出权重结果。结果表明:当地受益者和省域受益者最关注湿地的调蓄洪水服务,其权重值分别为0.276 1和0.266 7;全国受益者最关注湿地的气候调节服务,其权重值为0.223 8;全球受益者最关注湿地的固碳服务,其权重值为0.203 0。年龄越高的受益者更为关注水质净化和调蓄洪水等服务;文化程度越高的受益者对于湿地的科研教育的关注程度相对较高;生态相关职业的受益者更为关注生态相关的调蓄洪水、固碳、气候调节和科研教育服务。     

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。     

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.     

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.     

ACE中设计模式在分布式网络服务中的应用研究

以网关应用服务的构建为例,详细探讨如何利用Acceptor-Connector模式来构建分布式网络服务的过程。通过分析其构造过程可知,利用Acceptor-Connector模式可提高程序的灵活性、可扩展性,减少重复开发代码工作量。