云安全防护体系架构研究

针对云计算中心的安全需求探讨云安全防护体系的设计框架和建设架构,并论述等级保护背景下如何做好云计算中心的安全防护工作。从其本质上看,云计算中心仍然是一类信息系统,需要依照其重要性不同分等级进行保护。云计算中心的安全工作必须依照等级保护的要求来建设运维。云安全框架以云安全管理平台为中心,综合安全技术和管理运维两个方面的手段确保系统的整体安全。在安全技术方面,除了传统的物理安全、网络安全、主机安全、应用安全、数据安全、备份恢复等保障措施,还需要通过虚拟化安全防护技术和云安全服务来应对云计算的新特征所带来的安全要求。     

无线局域网的安全防护

通过了解无线局域网的组成和工作原理,分析影响安全的因素,并通过加密、认证等手段以及应用完整的安全解决方案,从而更好地做到无线局域网的安全防护。     

局域网通信中的安全问题及解决方案

局域网中通信方式的多样性,使得局域网的安全面临多方面的威胁。本文分析了局域网中的多种通信方式,以及所涉及的安全问题,并在此基础上,从网络的硬件设施、主机的软件安全防护等方面总结了局域网安全通信的解决方案。     

办公局域网组建维护和安全防护方法研究

当今社会计算机技术以及互联网得到快速的发展,通过办公局域网的组建能够使日常各单位之间沟通和信息的传递更加便捷,能够最大化的提高办公效率以及质量。但局域网的组建维护涉及多个方面,不仅需要对计算机的软、硬件有较多的认知,同时还要对局域网的构建以及服务器的设立有深入的了解。因此在组建维护过程中会存在较多的问题和漏洞,通过不断的深入研究深化局域网组建维护的流程,构建出更加安全稳定的服务平台,做好其中的安全防护工作,这是保证办公局域网高效运行的基础。     

浅析局域网安全问题及防护策略

随着局域网的广泛应用,局域网的安全与防护问题也被大家日益重视。该文分析了局域网面临的主要安全威胁,提出了相应的强化局域网信息安全的防护策略。     

企业无线局域网安全方案研究

在国家高度重视网络信息安全的大背景下,建设安全的企业无线局域网,避免使其成为黑客进入企业内网的捷径。文章首先调研分析了无线局域网黑客攻击技术与安全防护技术,然后研究设计了企业无线局域网安全方案并开展安全评测,最后从用户接入、基础设施和安全防护等三个方面总结提出了企业无线局域网安全方案建议。     

计算机网络管理初探

本文从实践工作出发,介绍了西南计算中心局域网的配置和网络管理制度的建立以及网络运行状态的监测软件。     

小型局域网安全防护措施浅析

从局域网的安全现状入手,以某小型局域网为实例,介绍了该局域网面临的安全威胁,并针对这些安全威胁应采取的安全防护措施。     

基于过滤驱动的局域网透明文件安全加密方法

针对企业局域网文件安全问题,文中提出了一个基于过滤驱动的局域网透明文件安全加密方法,阐述了透明加密过程中加密进程获取、加密标志设置以及加密处理关键技术,同时还介绍了加密系统的几个主要功能模块.最后通过使用透明加密技术以及对称加密算法 AES 实现了对文本文档的加密实验,证明了文中提出的过滤驱动技术在实际应用中的可靠性,实现了对局域网内的文件有效的安全管理,加强了局域网文件的安全防护,快捷有效地防止了机密数据内容的泄漏和扩散     

构建电视台局域网的安全防护体系

本文以电视台局域网为对象目标,从构建网络平台入手,对如何加强基础网络安全建设,构建局域网的安全防护体系进行了分析,从而确保整个网络安全体系能够有效防护黑客、病毒的恶意攻击。     

浅议云计算的实现及未来的发展

所谓云计算其实是是一种基于因特网的超级计算模式,在远程云计算的数据中心,几万甚至几千万台电脑和服务器连接成一片。云计算的核心思想,是将大量用网络连接的计算资源统一管理和调度,构成一个计算资源池向用户按需服务。提供资源的网络被称为“云”。用户通过电脑、笔记本、手机等方式接入数据中心,按各自的需求进行存储和运算。本文主要介绍了云计算的概念以及将来的发展。     

RDMA技术在数据中心中的应用研究

随着云计算向数据化智能化的方向演进,数据的流转与有效利用将为业务带来核心价值。大规模深度学习、机器训练等应用是极其依赖算力的,大量的信息交互对网络提出了很高的要求,由此需要一个低时延、无丢包、高吞吐的算力网络。考察RDMA[1]技术在数据中心中的应用,并分析其对于未来云数据中心高性能集群计算的影响。     

The method to secure scalability and high density in cloud data-center

Recently IT infrastructures change to cloud computing, the demand of cloud data center increased. Cloud computing is a model for enabling ubiquitous, convenient, on-demand network access to a shared computing resources that can be rapidly provisioned and released with minimal management effort, the interest on data centers to provide the cloud computing services is increasing economically and variably. This study analyzes the factors to improve the power efficiency while securing scalability of data centers and presents the considerations for cloud data center construction in terms of power distribution method, power density per rack and expansion unit separately. The result of this study may be used for making rational decisions concerning the power input, voltage transformation and unit of expansion when constructing a cloud data center or migrating an existing data center to a cloud data center.     

云数据中心资源调度机制研究

云数据中心包含大量计算机,运作成本很高。有效整合资源、提高资源利用率、节约能源、降低运行成本是云数据中心关注的热点。云数据中心通过虚拟化技术将计算资源、存储资源和网络资源构建成动态的虚拟资源池;使用虚拟资源管理技术实现云计算资源自动部署、动态扩展、按需分配;用户采用按需和即付即用的方式获取资源。因此,数据中心对提高资源利用率的迫切需求,促使人们寻求新的方式以建设下一代数据中心。     

Green Approach for Joint Management of Geo-Distributed Data Centers and Interconnection Networks

Every time an Internet user downloads a video, shares a picture, or sends an email, his/her device addresses a data center and often several of them. These complex systems feed the web and all Internet applications with their computing power and information storage, but they are very energy hungry. The energy consumed by Information and Communication Technology (ICT) infrastructures is currently more than 4% of the worldwide consumption and it is expected to double in the next few years. Data centers and communication networks are responsible for a large portion of the ICT energy consumption and this has stimulated in the last years a research effort to reduce or mitigate their environmental impact. Most of the approaches proposed tackle the problem by separately optimizing the power consumption of the servers in data centers and of the network. However, the Cloud computing infrastructure of most providers, which includes traditional telcos that are extending their offer, is rapidly evolving toward geographically distributed data centers strongly integrated with the network interconnecting them. Distributed data centers do not only bring services closer to users with better quality, but also provide opportunities to improve energy efficiency exploiting the variation of prices in different time zones, the locally generated green energy, and the storage systems that are becoming popular in energy networks. In this paper, we propose an energy aware joint management framework for geo-distributed data centers and their interconnection network. The model is based on virtual machine migration and formulated using mixed integer linear programming. It can be solved using state-of-the art solvers such as CPLEX in reasonable time. The proposed approach covers various aspects of Cloud computing systems. Alongside, it jointly manages the use of green and brown energies using energy storage technologies. The obtained results show that significant energy cost savings can be achieved compared to a baseline strategy, in which data centers do not collaborate to reduce energy and do not use the power coming from renewable resources.     

A taxonomy and survey of grid resource management systems for distributed computing

The resource management system is the central component of distributed network computing systems. There have been many projects focused on network computing that have designed and implemented resource management systems with a variety of architectures and services. In this paper, an abstract model and a comprehensive taxonomy for describing resource management architectures is developed. The taxonomy is used to identify approaches followed in the implementation of existing resource management systems for very large‐scale network computing systems known as Grids. The taxonomy and the survey results are used to identify architectural approaches and issues that have not been fully explored in the research. Copyright © 2001 John Wiley & Sons, Ltd.     

基于网络的并行计算系统模型

随着Internet迅速发展,利用网上资源构筑分布式并行计算环境进行中、大粒度任务的分布式并行计算已呈现出重要研究价值。另外,Agent理论的日益成熟及多Agent系统MAS(Multi-Agent System)的出现,为开放式分布系统的开发和应用提供了新的模式。结合移动Agent在并行计算中的任务特性,对网络并行计算进行了抽象的分析和描述,然后给出了一个基于移动Agent计算的任务流模型实例。     

Energy-saving model for SDN data centers

With the development of the Internet, data centers have become vital infrastructures which provide computing, storage and other services for the networks. According to statistics, data centers consume large amount of electricity all around the world. In most cases, the majority of network devices in data centers are relatively idle, resulting in a waste of energy. Software defined network (SDN) was proposed by UC Berkeley and Stanford University around 2008, which allows the administrators to manage the network and set configurations through abstraction of lower level functionality. It also separates the control plane and the data plane, so administrators can control the network traffic through centralized controller instead of access to physical devices. This paper discusses the energy-saving model in data center networks based on SDN. We propose two different energy-saving algorithms, which can be applied to different data centers. Through centralized management and preprocessing traffic by SDN, we get better energy efficiency and reduce the energy cost by 30–40 %. To the best of our knowledge, this is the first work on energy saving in SDN architecture which provides two different algorithms that can be applied in different scenarios.     

面向HPC和DC的可重构光互连网络体系结构综述

互连网络是高性能计算系统和数据中心的核心组件之一,也是决定其系统整体性能的全局性基础设施。随着高性能计算、云计算和大数据技术的迅速发展,传统的电互连网络在性能、能耗和成本等方面无法满足高性能计算应用和数据中心业务的大规模可扩展通信需求,面临着严峻的挑战。为此,近年来相关研究者提出了多种面向高性能计算和数据中心的可重构的光互连网络结构。首先阐明了光互连网络相对于电互连网络的优势;然后介绍了几种典型的可重构光互连网络体系结构,并对其特点进行了分析比较;最后探讨了可重构光互连网络的发展趋势。     

一个新的移动计算的嵌入式GIS模型的研究

针对嵌入式GIS应用在无线互联网络环境下的带宽限制、数据析取量大等问题,采用了移动Agent分布式计算理论与技术,提出了一种新型的移动计算环境的嵌入式GIS模型,分析了该模型中各子模块的主要功能及运行机制,并将该模型应用在某省地震应急指挥系统中,通过离线在GIS客户端工作,可以在线实时发送灾害损失调查信息。实验表明,与传统的分布式计算模型相比较,嵌入了支持移动Agent计算模型的GIS在无线互联网络中具有高效的处理机制和良好的适用性。