Network computing: a tutorial review

Network computing is generally considered to be an unsuccessful initiative. It is strongly associated in the minds of many with the overhyped network computer that failed to capture a significant market share from PCs. However, network computing and network computers are not synonymous. In fact, one of the major benefits of network computing is the ability to tailor applications to the capabilities of heterogeneous client devices. Given the very fast growing mobile computing market, with its numerous and diverse terminal types, network computing could at last realise its full potential. This tutorial paper provides an overview of computing from the early mainframes to today's multiplicity of computing devices. The advantages of network computing are discussed and an overview is provided of some of the underpinning technologies. To provide an insight into the potential of network computing, two applications are described. Some overall conclusions are also given     

基于类层次对象的发动机特性计算研究

基于面向对象分析与设计的思想，将发动机特性计算的仿真模型概括为部件、工质流、流动关系3个层次，并将这种层次关系表达为类属层次结构。通过一个涡扇发动机特性计算的实例，验证了这种建模方式的可扩充能力和重用性。     

基于云计算思想和HXFA机的主动Web服务研究

云计算是一个更先进的计算概念,是网格计算和分布式计算的延伸。基于XML的主动Web服务具有异构性、海量性、按需服务等特点,因此可看作是具有网络计算能力的云计算的应用之一。面对互联网海量的异构半/非结构化数据,过滤引擎执行效率通常是该系统的瓶颈所在。鉴于此,利用森林文法提出HXFA机算法以提高执行匹配能力,结合云计算思想,将该算法应用于提出的主动服务HXPS原型系统中,并阐述该系统的组成及其关键技术。     

移动计算技术及应用

对移动计算技术的发展及纵横向应用作了简要综述 ,对移动计算环境中的缓存管理技术作了探讨 ,提出了一种利用前馈网络计算访问概率来优化缓存管理的方法 ,并给出了仿真算例。最后 ,对移动计算技术在交通自动收费及电信企业生产经营管理中的应用作了探讨。     

云计算在移动环境下的多融合服务研究

云计算是一种新型的基础服务共享架构方法,是分布式计算的重要发展里程碑,云计算可以看作是网格技术与基于移动环境感知的动态虚拟计算的有机融合。基于方面的云计算架构与SOA相结合,基于该框架来描述和表达移动实体之间以及无线运动智能动态服务之间的交互与协调,描述它们之间的可信的通信活动以及移动实体或服务与所在环境的交互活动。基于云计算的多融合服务组合是构建上下文环境服务组合的有效方法,多融合服务在原有服务提供的同时,云计算环境感知实现异构信息的有机匹配,体现多融合信息的动态特性和多种形式的融合。     

Distributed-program reliability analysis: complexity and efficientalgorithms

This paper investigates the problem of distributed-program reliability in various classes of distributed computing systems. This problem is computationally intractable for arbitrary distributed computing systems, even when it is restricted to the class of star distributed computing systems. One solvable case for star distributed computing systems is identified, in which data files are distributed with respective to a consecutive property; a polynomial-time algorithm is developed for this case. A linear-time algorithm is developed to test whether or not an arbitrary star distributed computing system has this consecutive file distribution property. Efficient algorithms may still be sought for computing lower and upper bounds on the distributed program reliability for arbitrary distributed computing systems     

基于图形处理器的时域有限差分算法研究

如何提高时域有限差分算法(FDTD)的运算效率一直是FDTD数值运算研究的核心问题之一.针对近年来图形处理器(GPU)运算能力的高速增长及GPU通用运算概念提出的背景,对GPU加速FDTD运算的潜力与研究现状进行了总结,并对GPU加速FDTD运算的并行实现原理进行了阐述,通过将其与其他典型硬件加速方式进行比较,指出了G...     

云计算在电子支付领域中的应用综述

云计算是企业级IT技术发展到高级阶段的产物,是一种"按需取用"和"按量计费"的计算模式,能带来各应用行业的成本和商业模式的巨大变革,与电子支付领域日趋快速发展的需求不谋而合。本文从电子支付变革需求和云计算相关概念出发,阐述了云计算将如何推动电子支付业务快速发展,并判断电子支付与云计算的结合是一个必然趋势。     

Fusion of soft computing and hard computing in industrial applications: an overview

Soft computing (SC) is an emerging collection of methodologies which aims to exploit tolerance for imprecision, uncertainty, and partial truth to achieve robustness, tractability, and low total cost. It differs from conventional hard computing (HC) in the sense that, unlike hard computing, it is strongly based on intuition or subjectivity. Therefore, soft computing provides an attractive opportunity to represent the ambiguity in human thinking with real life uncertainty. Fuzzy logic (FL), neural networks (NN), and genetic algorithms (GA) are the core methodologies of soft computing. However, FL, NN, and GA should not be viewed as competing with each other, but synergistic and complementary instead. Considering the number of available journal and conference papers on various combinations of these three methods, it is easy to conclude that the fusion of individual soft computing methodologies has already been advantageous in numerous applications. On the other hand, hard computing solutions are usually more straightforward to analyze; their behavior and stability are more predictable; and, the computational burden of algorithms is typically either low or moderate. These characteristics. are particularly important in real-time applications. Thus, it is natural to see SC and HC as potentially complementary methodologies. Novel combinations of different methods are needed when developing high-performance, cost-effective, and safe products for the demanding global market. We present an overview of applications in which the fusion of soft computing and hard computing has provided innovative solutions for challenging real-world problems. A carefully selected list of references is considered with evaluative discussions and conclusions.     

Hadoop云平台下的并行化图像处理实现

近年来,云计算在IT行业掀起了新一轮技术革新浪潮。云计算是一种新兴的计算模型,它是并行计算、分布式计算、网格计算的综合发展,以简单、透明服务的形式提供无限制的计算资源。Hadoop实现的开源云平台提供了并行计算模型MapReduce、分布式文件系统HDFS和分布式数据库HBase等。随着数字图像数据量不断增长,单机模式的图像处理已逐渐不能满足用户需求。文中提出了利用Hadoop云平台实现海量图像的并行     

移动互联网中的云计算安全架构

移动互联网(Mobile Internet)是以移动设备为核心,融合了互联网和移动通信技术的一种计算机技术,是当今信息科技发展的热点之一。而云计算(Cloud Computing)作为一种高效、灵活、节能的计算模式,是当前信息化建设的重要技术手段之一。移动互联网与云计算的结合,可以为用户提供更多、更丰富的服务,提高信息处理的效率和质量。然而,移动互联网中的云计算也面临着安全问题,如何构建安全、可靠的云计算安全架构,成了一个亟待解决的问题。     

基于云、网、边融合的边缘计算新方案:算力网络

边缘计算已经成为5G时代重要的创新型业务模式,尤其是其低时延特性,被认为是传统方案所不具备的,因此边缘计算能够提供更多的服务能力且具有更为广泛的应用场景。但边缘计算与处于中心位置的云计算之间的算力协同成为新的技术难题,即需要在边缘计算、云计算以及网络之间实现云网协同、云边协同,甚至边边协同,才能实现资源利用的最优化。在研究边缘计算算力分配和调度需求的基础上,提出了基于云、网、边深度融合的算力网络方案,并针对AI类应用给出了一个典型实施系统,该方案能够有效应对未来业务对计算、存储、网络甚至算法资源的多级部署以及在各级节点之间的灵活调度。     

云计算中的群体智能与不确定性知识表示

The lasting evolution of computing environment, software engineering and interaction methods leads to cloud computing. Cloud computing changes the configuration mode of resources on the Internet and all kinds of resources are virtualized and provided as services. Mass participation and online interaction with social annotations become usual in human daily life. People who own similar interests on the Internet may cluster naturally into scalable and boundless communities and collective intelligence will emerge. Human is taken as an intelligent computing factor, and uncertainty becomes a basic property in cloud computing. Virtualization, soft computing and granular computing will become essential features of cloud computing. Compared with the engineering technological problems of IaaS (Infrastructure as a service), PaaS (Platform as a Service) and SaaS (Software as a Service), collective intelligence and uncertain knowledge representation will be more important frontiers in cloud computing for researchers within the community of intelligence science.     

Cloud Computing: Concept, Model, and Key Technologies

Cloud computing is a new network computing paradigm based on IP architecture, and its potential lies in new ICT business applications. For the majority of operators and enterprises, the main task associated with cloud computing is next generation data center transformation. This will ensure cloud computing becomes more widespread among enterprises, institutions, organizations, and operators. Cloud computing not only provides traditional IT resource usage and application services, but also supports full resource usage and application services such as IT, communications, video, mobile, and Internet of Things using a converged network infrastructure. Key cloud computing technologies include unified fabric, unified virtualization, and unified computing system. The formation of an open industry alliance and promotion of open technology standards will be critical for the future development of cloud computing.     

基于云计算的深度包检测技术研究

针对云计算平台的分布式、虚拟化等特点,从深度包检测技术的算法原理和实现框架两方面入手,研究如何将深度包检测技术引入云计算平台,提出深度包检测系统在云计算环境中的系统框架;其根据云后台硬件资源的异构性来智能地协调配置,并协作均衡处理和防御重复攻击,提高了整体效率;实验结果表明云计算框架比传统框架的深度包检测系统有效性和在时间、空间上的性能优势。     

Approaches in Cultural Computing: A Survey and Inference from Social Computing with Dynamics of Mind

Cultural computing is mainly viewed as the integration of computing technology with the culture. Being inherently interdisciplinary and multidimensional, it requires an explicit comprehension as the way it developed as well as expanded from the history of technological areas. This article addresses the need for cultural computing as well as comprehensively studies existing cultural computing approaches and models from different perspectives. An insight towards dynamics of mind and its incorporation in the virtual world of Internet and social computing has been provided. The article concludes with a summary providing useful suggestions for future developments.     

云计算安全中密码技术应用模型研究

首先简要分析了云计算的工作原理及可能带来的安全隐患,在此基础上探讨了云计算环境下的安全架构,并给出了密码技术的应用途径。其次,从云计算环境下的安全系统工作流程这个维度,结合密码学理论、云计算安全架构给出了在云计算安全中密码技术的应用模型。最后,归纳出基于该模型的云计算环境中密码应用技术及其发展趋势,为密码技术应用于云计算安全中提供可用的解决思路。     

A Survey of Mobile Cloud Computing

Mobile Cloud Computing (MCC) is emerging as one of the most important branches of cloud computing. In this paper, MCC is defined as cloud computing extended by mobility, and a new ad-hoc infrastructure based on mobile devices. It provides mobile users with data storage and processing services on a cloud computing platform. Because mobile cloud computing is still in its infancy, we aim to clarify confusion that has arisen from different views. Existing works are reviewed, and an overview of recent advances in mobile cloud computing is provided. We investigate representative infrastructures of mobile cloud computing and analyze key components. Moreover, emerging MCC models and services are discussed, and challenging issues are identified that will need to be addressed in future work.     

基于云计算的物联网安全问题研究

介绍了云计算和物联网的概念,分析二者融合的必要性以及结合的基本平台,提出了基于云计算的物联网体系结构。研究了基于云计算物联网三层体系结构所面临的安全威胁,针对安全威胁给出一种基于云计算的物联网安全体系结构,并且给出一种基于云计算的物联网应用层云用户认证的认证方案,即引用数据库技术中对于模式的划分规则和权限分配方法,可以对基于云计算的物联网用户进行严格认证,保证数据的安全。     

云计算安全问题剖析

云计算是计算机资源公共化的商业实现,为信息管理和服务交付提供了全新的思路,为IT领域带来了深刻变革。随着云计算的广泛使用,安全问题已成为云计算领域不容忽视和亟待解决的问题。分析了云计算面对的典型安全问题,提出了解决这些问题的方法,明确了下一步的研究方向。