网格计算在现代远程教育中的应用研究

网格技术是一种新兴的网络技术,是继Internet之后的又一重大科技进步,它可以实现Internet上计算资源、数据资源和服务资源的有效聚合和广泛共享.随着网格计算研究的发展,尝试将网格计算应用于远程教育已成为趋势.文中讨论了网格计算技术的特点,并给出了其应用于远程教育的基本方法.     

浅谈网格计算及其应用

近些年,网格一词被广泛提及,同时,网格计算更是被很多领域应用。文章对网格作了简要概述,重点介绍了网格计算概念、特性、体系结构及其应用,并对当前网格计算所面临的问题及发展趋势进行了阐述。     

一种基于计算期望的网格资源管理模型

在网格市场经济资源管理模型的基础上,设计一种基于计算期望的网格资源管理模型。该模型将用户对资源属性的具体要求抽象成为作业对资源的"计算期望",并将其映射到相应的网格资源属性,简化用户的操作,实现网格资源的负载均衡和网格资源灵活、高效的管理与调度。     

网格计算技术在石油勘探开发中的应用

网格计算技术正在逐步走向成熟、开放和标准化,国内外网格研究与建设项目正蓬勃展开,许多网格正逐步进入生产应用阶段,多种网格软件产品(如Globus Too1kit、UNICORE等)已可供实际应用.网格将成为石油勘探开发行业业务工作流程的信息基础设施,满足石油工业对高性能计算强劲和持续的需求.本文描述了油气地震勘探应用网格SeisGrid的体系结构、关键技术和应用情况.     

网格计算在文本分类中的应用

文本分类,是一种对文档进行自动标记类别的技术。它是文本挖掘中的一个核心任务,也是近年来数据挖掘中的一个研究热点。在文章本分类中,所要处理的文档集中包含了很多特征,而分类算法中对于这些特征的处理和识别又需要进行大量的计算,目前尽管分类算法的准确率可以达到很高的水平,但分类算法的速度却因为受到硬件条件的限制而没有得到有效的提高,而网格计算可以弥补这一点缺陷。文章对传统的向量空间分类算法进行改进,并在Alchemi网格计算平台下测试,发现在网格环境下,文本分类的速度得到很大的提高。     

校园计算网格作业自适应调度的研究和实现

由于网格资源具有分布、异构、动态、自治等特性。使得网格作业调度成为网格计算中具有挑战性的任务之一。针对校园高性能计算资源负载不均衡、管理模式不统一的问题，提出了校园计算网格自适应调度系统的解决方案。详细研究了网格作业的白适应调度技术，设计了含有负载均衡能力的资源动态信息收集模型，并给出自适应调度算法。实现了校园范围内高性能计算资源的负载均衡和统一的资源管理。     

网格计算在电信行业中的应用分析

网格计算技术是一种新兴的技术,目前还没有统一的国际标准,但其技术优势已经得到很多企业的认可。部分电信运营商已经开始在通信网络的计费系统等引入网格技术。本文介绍了网格计算技术的概念以及关键技术．并分析了电信运营商关注的主要网格应用。     

网格、网格计算及在科研、经济生活中的应用研究

网格试图实现互联网上所有资源的全面联通与共享,最大限度地消除资源孤岛和信息孤岛,形成一个无缝的集成和协同的计算环境。网格发展经历了萌芽阶段、早期试验阶段和较快发展阶段。基于网格对问题求解是网格计算。网格和网格计算在科学计算、社会经济生活领域有着广阔的应用前景,而且将在更加广泛的领域得以应用。     

网格计算技术及其应用研究

网格计算技术被誉为继Internet和Web之后的第三次信息技术浪潮。阐述了网格计算的基本概念，详细地分析了网格计算的两种典型体系结构——5层沙漏结构和开放网格服务体系结构OGSA，指出了网格计算需要跟踪的关键技术，并对网格计算技术的应用和发展前景作了展望。     

网格计算及其应用

网络计算给互联网带来了新的活力，它是一种新型的分布计算技术，致力于解决复杂度很高的新应用问题，文中简述了网格计算的定义、体系结构、关键问题、当前几个有代表性的网格系统以及网格应用实例，并分析了风格计算发展趋势。     

Digital optical computing

This paper concerns binary digital computing systems in which the information-carrying medium consists entirely or primarily of photons. The paper begins with a review of analog, discrete, and binary methods of representing information in a computer, followed by a survey of many techniques for implementing binary combinatorial and sequential logic functions with individual optical devices and arrays of devices. Next is a discussion of communication, interconnection, and input-output problems of digital electronic and optical computers at the gate, chip, and processor level. A particular architecture for implementing general sequential optical logic systems including digital optical processors is described. This architecture avoids some of the interconnection problems of electronic integrated circuits and VLSI systems, and offers the potential of non von Neumann parallel digital processors. Finally, the current limitations and future needs of optical logic devices and digital optical computing systems are outlined.     

利用网格计算技术可以组成虚拟超级计算机

先进的计算能力,加上在数据传输过程中广泛采用开放性的标准,可以为工程师们解决所面临的最复杂的问题,提供快速而又完整的设计解决方案。将互联网所采用的分布式通信模型,来进行数据处理与数据储存,可以形成一种典型的虚拟超级计算机。     

Survey on computation offloading in mobile edge computing

Computation offloading in mobile edge computing would transfer the resource intensive computational tasks to the edge network.It can not only solve the shortage of mobile user equipment in resource storage,computation performance and energy efficiency,but also deal with the problem of resource occupation,high latency and network load compared to cloud computing.Firstly the architecture of MEC was introduce and a comparative analysis was made according to various deployment schemes.Then the key technologies of computation offloading was studied from three aspects of decision on computation offloading,allocation of computing resource within MEC and system implement of MEC.Based on the analysis of MEC deployment scheme in 5G,two optimization schemes on computation offloading was proposed in 5G MEC.Finally,the current challenges in the mobility management was summarized,interference management and security of computation offloading in MEC.     

Space-time complexity in optical computing

Given certain simple and well defined operations and complexity measures, the product of spatial complexity with temporal complexity must exceed a certain minimum problem complexity if that processor is to solve that problem. Some optical processors violate that condition in a favorable direction (anomalously small temporal complexity). We next extend the requirement to embrace those optical processors. In its final form, the theorem requires that the product of spatial, temporal, and fanin complexities equal or exceed the problem complexity.Some parts of this work were presented at the SPIE symposium Optical Information Processing Systems and Architectures II, in San Diego, California, July 1990.     

网格计算及其技术需求分析

网格计算是一种新兴的技术，正处在不断发展和变化当中，并受到人们越来越多的重视。本文概速了网格的基本概念和网格技术研究现状，初步探讨了网络计算体系结构，分析了网络计算的技术需求。     

Grid computing: a STOPE view

Grid computing is emerging as the foundation upon which virtual organizations can be built. Such organizations are becoming of increasing importance for tackling various projects, both in academic and in business fields. This paper is concerned with presenting an integrated view of the grid to readers interested in understanding it, or perhaps in developing it further or making use of it in the future. The target view is based on the STOPE (strategy/technology/organization/people/environment) framework that has previously been used to integrate the issues of various information technology problems over its well‐defined domains. For strategy, the view considers the reasons associated with the need for the grid, including grid services and grid benefits. For technology, the technical components of the grid and their functions are taken into account. For organization, the organizations concerned with the development, technology production, service provisioning and use of the grid are considered. For people, those associated with the grid in the related organizations are taken into account. For the environment, rules, practices and support associated with the grid are discussed. Finally, the paper emphasizes questions that need to be answered in order to contribute to the future development of the grid. Copyright © 2006 John Wiley & Sons, Ltd.     

A robust optical flow computation

This paper presents a new method for robust and accurate optical flow estimation. The significance of this work is twofold. Firstly, the idea of bi-directional scheme is adopted to reduce the model error of optical flow equation, which allows the second order Taylor＇s expansion of optical flow equation for accurate solution without much extra computational burden; Secondly, this paper establishs a new optical flow equation based on LSCM （Local Structure Constancy Model） instead of BCM （Brightness Constancy Model）, namely the optical flow equation does not act on scalar but on tensor-valued （matrix-valued） field, due to the two reason： （1） structure tensor-value contains local spatial structure information, which provides us more useable cues for computation than scalar; （2） local image structure is less sensitive to illumination variation than intensity, which weakens the disturbance of non-uniform illumination in real sequences. Qualitative and quantitative results for synthetic and real-world scenes show that the new method can produce an accurate and robust results.     

Locally oriented optical flow computation

This paper proposes the use of an adaptive locally oriented coordinate frame when calculating an optical flow field. The coordinate frame is aligned with the least curvature direction in a local window about each pixel. This has advantages to both fitting the flow field to the image data and in imposing smoothness constraints between neighboring pixels. In terms of fitting, robustness is obtained to a wider variety of image motions due to the extra invariance provided by the coordinate frame. Smoothness constraints are naturally propagated along image boundaries which often correspond to motion boundaries. In addition, moving objects can be efficiently segmented in the least curvature direction. We show experimentally the benefits of the method and demonstrate robustness to fast rotational motion, such as what often occurs in human motion.     

Energy-efficient computation offloading strategy with tasks scheduling in edge computing

Wireless Networks - In mobile edge computing systems, the energy consumption and execution delay can be reduced dramatically by mobile edge computation offloading (MECO) . However, due to the...     

Fault detection and identification for reliable large-scale computing

In the letter, the analysis of a new technique for fault-tolerant computing is presented. This technique is applicable to systems with a large number of modules which require the simultaneous and reliable execution of multiple jobs.