基于网格的电信计费系统构架的研究

电信计费是电信运营商的核心业务,传统的电信计费系统存在诸多问题,对此,本文讨论了网格技术在电信计费中的应用研究现状,分析了研究的必要性,提出了一个基于网格的电信计费构架,对构架各层功能进行了论述,最后对构架的优点进行了总结,能够为解决电信计费存在的问题提供新的方法.     

A survey of mobile cloud computing: architecture,applications, and approaches

Together with an explosive growth of the mobile applications and emerging of cloud computing concept, mobile cloud computing (MCC) has been introduced to be a potential technology for mobile services. MCC integrates the cloud computing into the mobile environment and overcomes obstacles related to the performance (e.g., battery life, storage, and bandwidth), environment (e.g., heterogeneity, scalability, and availability), and security (e.g., reliability and privacy) discussed in mobile computing. This paper gives a survey of MCC, which helps general readers have an overview of the MCC including the definition, architecture, and applications. The issues, existing solutions, and approaches are presented. In addition, the future research directions of MCC are discussed. Copyright © 2011 John Wiley & Sons, Ltd.     

一种网格环境的服务查找算法

网格计算为大规模Internet应用提供了必要的基础架构,服务查找是网格计算的重要研究内容之一。但是目前常见的服务查找算法不太适应于网格环境的分散性和松耦合等特点。提出了一种分布式的、综合考虑网络延迟和节点负载情况及处理能力、适合于网格环境的服务查找算法DDCA。实验结果表明,DDCA算法能有效提高网格环境下应用的整体性能。     

网格技术在视频会议系统中的应用初探

网格(Grid)是近年来兴起的一个研究热点。他旨在使互联网上所有资源(计算资源、存储资源、通信资源、软件资源、信息资源、知识资源等)实现全面共享与协同工作，使整个因特网整合成一台巨大的超级计算机，为用户提供一个有效的平台，支持全球范围内分布异构应用程序的运行。本文不仅介绍了网格技术的涵义、特．最、功能，并且从网格技术能支持异构结点在网络环境下的分布动态协同工作的角度出发，给出了基于网格平台的通用视频会议系统的设计构想。     

地理空间信息网格基础层面的相关技术

地理空间信息网格基础底层的相关技术主要有地理空间信息网格计算结点的构建技术、传统网络协议技术、下一代网络协议技术、接口技术等。作为创新技术，地理空间信息网格必须依托已有技术，加之相关领域及更先进的技术支持，才会有发展和前途。     

网格技术模式下电子商务的应用研究

针对目前电子商务应用中存在的资源瓶颈问题，结合网格技术应用背景，提出了网格技术模式下电子商务的应用模型，对其体系结构、分层特性进行了具体的阐述，结合一个简单的应用实例分析了网格技术模式下电子商务应用的特点，未来电子商务技术发展的趋势。     

基于Web service的grid service的应用研究

总结和分析了Webservice的优缺点、体系结构和工作原理,但随着网格计算理论的提出和成型,人们对网格服务的要求越来越高。文中给出了网格服务的构架和实现步骤,并给出基于GT3的网格服务实现框图。鉴于GT3实现网格服务的复杂性和不可操作性,提出了开发gridservice平台的思想和实现框架。     

Statistical analysis of large on-chip power grid networks by variational reduction scheme

One of the most critical challenges in today's CMOS VLSI design is the lack of predictability in chip performance at design stage. One of the process variabilities comes from the voltage drop variations in on-chip power distribution networks. In this paper, we present a novel analysis approach for computing voltage drops of large power grid networks under process variations. The new algorithm is very efficient and scalable for huge networks with a large number of variational variables. This approach, called variational extended truncated balanced realization (varETBR), is based on model order reduction techniques to reduce the circuit matrices before the variational simulation. It performs the parameterized reduction on the original system using variation-bearing subspaces. After the reduction, Monte Carlo based statistical simulation is performed on the reduced system and the statistical responses of the original system are obtained thereafter. varETBR calculates variational response Grammians by Monte Carlo based numerical integration considering both system and input source variations in generating the projection subspace. varETBR is very scalable for the number of variables and flexible for different variational distributions and ranges as demonstrated in experimental results. Experimental results, on a number of IBM benchmark circuits up to 1.6 million nodes, show that the varETBR can be 1900X faster than the Monte Carlo method and is much more scalable than one of the recently proposed approaches.     

Grid-Enabled BLASTZ: Application to Comparative Genomics

BLASTZ is a sequence alignment tool designed mainly for aligning neutrally evolved bio-sequences and has been the choice for aligning noncoding sequences. However, its running time is impractical for high throughput alignment of long sequences, for example, for the alignment of human and mouse genomes. In order to improve the performance and efficiency for alignment at genome scale, BLASTZ was implemented using the GLOBUS toolkit on a computing grid. A dynamic load balancing technique was introduced to achieve enhanced performance on a grid which consists of sources of heterogeneous characteristics, such as resources of different computational powers. The robustness of the implementation to disturbances due to other processes on the grid is demonstrated.

面向Web Services事务流处理的优化RR调度算法及性能分析

分析了Web Services事务流处理中常用的FCFS技术,并对采用这种技术造成的服务类型不加区分,对不同事务不分轻重缓急统一处理,服务效率不高,服务质量不好的问题进行了探讨。然后提出了用优化的RR调度算法来解决该问题的想法,并将FCFS与优化后的RR调度算法的性能进行了比较,并证明了该算法解决Web Services事务流处理服务质量不好问题的有效性。