云计算及云计算实施标准:综述与探索

综述云计算及云计算实施标准的文献,讨论中国在该领域的研究情况.现状可概括如下:概念清晰、操作模糊、人云亦云、云里雾里.中国云计算的发展呈现如下特点:重建设、轻应用;技术已有一定基础,却仍有差距.目前学术界和产业界都已意识到云计算的巨大潜力,给予了充分重视,却未形成云计算实施标准,这已成为中国云计算产业发展的瓶颈.从实践和应用角度,通过对云计算的理解和对互联网应用发展的探索,指出云计算并非只是商业模式的变化,而应看作可解决不同问题的云革命,在此基础上提出云计算定义和云计算实施的标准.     

对分布式计算、网格运算和云计算分析

云计算是分布式计算、网格计算的发展,或者说是这些计算机科学概念的商业实现。本文针对分布式计算、网格计算和云计算从定义、工作原理、各自特性之间的关联与不同进行了分析研究。     

Computing along the axon

A special form of spiking neural P systems, called axon P systems, corresponding to the activity of Ranvier nodes of neuron axon, is considered and a class of SN-like P systems where the computation is done along the axon is introduced and their language generative power is investigated.     

Computing along the axon

A special form of spiking neural P systems, called axon P systems, corresponding to the activity of Ranvier nodes of neuron axon, is considered and a class of SN-like P systems where the computation is done along the axon is introduced and their language generative power is investigated.     

LUCA:Lightweight Ubiquitous Computing Architecture

Lightweight ubiquitous computing security architecture was presented. Lots of our recent researches have been integrated in this architecture. And the main current researches in the related area have also been absorbed. The main attention of this paper was providing a compact and realizable method to apply ubiquitous computing into our daily lives under sufficient secure guarantee. At last,the personal intelligent assistant system was presented to show that this architecture was a suitable and realizable se...     

不饱和度的计算方法及通用公式的推导

介绍了几种常见不饱和度的计算方法并扩展了相应烃法,推导了一个适合包括多元有机复合物在内的所有有机物的不饱和度通用计算公式．     

Computing Skyline Groups:An Experimental Evaluation

Skyline group, also named as combinational skyline or group-based skyline, has attracted more attention recently. The concept of skyline groups is proposed to address the problem in the inadequacy of the traditional skyline to answer queries that need to analyze not only individual points but also groups of points. Skyline group algorithms aim at finding groups of points that are not dominated by any other same-size groups. Although two types of dominance relationship exist between the groups defined in existing works, they have not been compared systematically under the same experimental framework. Thus, practitioners face difficulty in selecting an appropriate definition. Furthermore, the experimental evaluation in most existing works features a weakness,that is, studies only experimented on small data sets or large data sets with small dimensions. For comprehensive comparisons of the two types of definition and existing algorithms, we evaluate each algorithm in terms of time and space on various synthetic and real data sets. We reveal the characteristics of existing algorithms and provide guidelines on selecting algorithms for different situations.     

PRCA: a Highly Efficient Computing Architecture

Applications can only reach 8 % - 15 % of utilization on modern computer systems. There are many obstacles to improving system efficiency. The key root is the conflict between the fixed general computer architecture and the variable requirements of applications. Proactive reconfigurable computing architecture （PRCA） is proposed to improve computing efficiency. PRCA dynamically constructs an efficient computing architecture for a specific application via reconfigurable technology by perceiving requirements, workload and utilization of computing resources. Proactive decision support system （PDSS）, hybrid reconfigurable computing array （HRCA） and reconfigurable interconnect （RIC） are intensively researched as the key technologies. The principles of PRCA have been verified with four applications on a test bed. It is shown that PRCA is feasible and highly efficient.     

网络并行方式的PVM异构计算环境

ＰＶＭ（ＰａｒａｌｌｅｌＶｉｒｔｕａｌＭａｃｈｉｎｅ）是异构计算环境下消息传递模型实际应用的成功范例．它将计算机网络上的各种机器抽象映象成一台具有高性能计算潜力的虚拟并行机，构成开发和运行大型并行应用软件的灵活、简洁且完整的程序设计环境，在分布式高性能计算领域为人们所广泛接受，成为网络并行计算技术领域中消息传递程序设计模型的事实标准之一．本文介绍ＰＶＭ的结构、模型和技术发展；分析了典型应用和实验数据，最后对ＰＶＭ进行评价并给出结论．     

云计算视角下可验证计算的分析研究

云计算能否在未来的各个领域中被广泛运用,决定因素在于其可信度。可验证计算在检测云计算结果的可信度方面具有其独特优势。利用可验证计算协议可验证云服务器端所返回的数据是否正确,它成为实现云计算可信度的重要保障。文中在阐述可验证计算基本内容和相关设计原则的基础上,分析了可验证计算协议的一般流程、设计原则及计算模型,并结合基于交互系统的可验证计算协议分析,探讨在云计算视角下可验证计算的研究展望。     

无线传感器网络中的数据融合问题

雀设计无线传感器网络时，基本的问题是克服能量与带宽的限制。数据融合作为一个基本的方法，其目的是减少传感节点间的传榆量，达到降低整个网络中的能量消耗和数据冲突。为了对当前在无线传感器网络的数据融合问题的研究工作做一个全面的总结，根据自组织性和网内处理2大类对现有研究成果进行分类，并从传榆方式、网络拓扑、时钟同步、融合函数、多信号处理等多方面对当前的研究成果进行细致划分和精炼比较，为当前在这个领域的工作做了较好的综述。     

矩阵广义奇异值分解的一种算法

本文论述了一种A的B奇异值分解的算法。算法分为二大部分,首先是对矩阵(A B)进行列主元QR因式分解,将这个广义奇异值分解问题归结为具有正交列的分块矩阵(Q_1 Q_2)的CS分解问题,其次就是给出关于(Q_1 Q_2)的CS分解的计算方法,这个算法避免了[5]中的重正交化和[10]中对子矩阵的再一次SVD计算,在一定条件下它是快速的且稳定。     

双变量高斯概率积分的计算

在信号处理的应用中 ,经常需要计算双变量高斯概率密度函数在四个象限上的积分值 .当随机变量的均值不为零时 ,用通常的积分方法计算这些积分的闭合形式解是行不通的 .人们曾经提出过许多种数值解法 ,然而 ,这些解法的准确度都受到各种条件的制约 .在本文中 ,用特征函数解法推导出了这个问题的闭合形式解 .这个解法是以著名的合流超几何函数的形式推出的 .当随机变量的均值为零时 ,这个解在第一象限上的积分值可简化为一个已知的结论 .这个解可用某些软件包 (如MAPLE)来解 .