浅谈数据中心网络架构的发展

网络是数据中心的一个重要基础设施,而通常分为两大部分：前端计算网络以及后端存储网络.后端的存储网络目前主要是FC网络,不过随着IP技术的发展,采用FCoE技术融合前后端网络成为一种趋势.本文主要关注前端计算网络.     

一种面向对象体系结构的度量模型

针对面向对象体系结构的软件系统缺乏有效度量方法的现状,通过行为、逻辑、构件和部署4个互为补充的模型,对面向对象的软件进行了架构分析,并确定了度量数据的采集集合.基于架构分析获得的原始系统数据,吸收快速原型与白盒、黑盒的基本原理,作者提出了一种适合面向确定对象系统的功能-结构-原型度量模型FCPMM(Function Configuration Prototype Metric Model).结合面向对象的基本准则与基本遗传算法,导出了该模型的循环收敛算法,从而可动态求解软件系统的最优状态.最后利用Matlab仿真实例,从度量参数适应度和最佳个体解码值两个方面验证了该算法的可行性.     

网络媒介影响下建筑相关问题初探

自工业革命以来形成的社会生活方式,在信息数字技术的影响下发生着悄无声息的变化.从原子到比特,数字化生存是必然的趋势.网络媒介的出现使得人们在交流和机会等方面获得平等的权利.随之产生的人们的生活方式、行为的改变已经为艺术领域带来了新的变化.通过对艺术创作的考察,为建筑领域的相关问题提供了参照、借鉴.在建筑创作中,＂图＂与＂底＂的关系正在模糊化,信息交流方式更多样化并具有一定的阶段性,动态的模数将导致更具个性化的设计,空间界面更为柔化,设计成果的生成也具有了更多的不可预见性.     

基于ASL的模型驱动架构测试方法

针对模型驱动架构（MDA）下的软件开发方法中测试启动比较晚、难以发现隐藏在模型中的缺陷及UML模型描述缺乏精确语义等问题,提出了基于ASL的模型测试方法：从UML模型出发,将动作规约语言（ASL）运用于平台无关模型（PIM）上建立测试模型。给出了ASL语句在MDA过程中的工作原理、平台无关模型的建立过程、测试用例建立的步骤、测试执行的实施过程,最后结合实例,在UML图的基础上运用ASL对测试环境进行构建,并创建了系统的测试用例,对模型及业务逻辑进行了测试。实验结果表明,提出的基于ASL的模型测试方法既能利用模型驱动对复杂的测试用例进行简化和抽象,又能在软件生存期早期揭示软件的缺陷,防止缺陷随着软件开发过程的进行而被放大。     

A new parallel lattice reduction algorithm for BKZ reduced bases

In order to implement the original BKZ algorithm in parallel,we describe it in terms of parallelism and give its parallel implementation scheme.Then we analyze the efficiency of algorithm’s parallel implementation and show that the speedup factor of BKZ algorithm in parallel is extremely low.Therefore we present a new parallel lattice reduction algorithm suitable for multiprocessor computer architecture.The new algorithm can obtain a BKZ reduced basis and the parallel speedup is effective.Also with the practical results,although the computational complexity increases compared with the original BKZ algorithm,we still indicate that the new algorithm performs well in parallel and the time cost in parallel is less.At the same time,we show that the length of the shortest vector is smaller.     

Map Reduce inspired loop mapping for coarse-grained reconfigurable architecture

Our work investigates how to map loops efficiently onto Coarse-Grained Reconfigurable Architecture （CGRA）. This paper examines the properties of CGRA and builds MapReduce inspired models for the loop parallelization problem. The proposed model has a more detailed performance metric and a more flexible unrolling scheme that can unroll different loop levels with different factors. A Geometric Programming based approach is proposed to resolve the optimization problem of loop parallelization problem. The proposed approach can find the optimal unrolling factor for each level loop, resulting in better parallelization of loops. Experimental results show that the proposed approach achieved up to 44% performance gain compared to the state-of-the-art loop mapping scheme.     

Towards evolvable Internet architecture-design constraints and models analysis

There is a general consensus about the success of Internet architecture in academia and industry. However, with the development of diversified application, the existing Internet architecture is facing more and more challenges in scalability, security, mobility and performance. A novel evolvable Internet architecture framework is proposed in this paper to meet the continuous changing application requirements. The basic idea of evolvability is relaxing the constraints that limit the development of the architecture while adhering to the core design principles of the Internet. Three important design constraints used to ensure the construction of the evolvable architecture, including the evolvability constraint, the economic adaptability constraint and the manageability constraint, are comprehensively described. We consider that the evolvable architecture can be developed from the network layer under these design constraints. What＇s more, we believe that the address system is the foundation of the Internet. Therefore, we propose a general address platform which provides a more open and efficient network environment for the research and development of the evolvable architecture.     

快速卷积算法的综述研究

卷积神经网络是深度学习算法应用最广泛的方向之一,目前卷积神经网络的应用不仅仅是停留在科技领域,已经扩展到医学、军事等领域,并且已在相关领域发挥着巨大的作用。卷积是卷积神经网络中最为核心的一部分,卷积运算占整个网络70%以上的时间,所以针对卷积运算的加速研究就显得十分重要。首先介绍近年来的卷积算法,并对其复杂度进行分析,总结了这些算法各自的优点和不足,最后对其理论研究和应用领域可能存在的突破进行了探讨和展望。     

面向物联网应用的SoC安全检查架构设计

物联网（IoT）应用的快速发展和软硬件开源化趋势使得IoT设备所面临的硬件安全威胁日益严峻,尤其是利用运行时条件触发的系统级攻击,很难通过传统测试方法进行检测和防御,需要提供运行时安全检查机制。分析IoT系统芯片面临的安全威胁,结合数据加密传输路径中的攻击、任务流和检查内容,设计4条功能完整性安全检查策略,搭建SoC安全策略检查架构并植入运行时触发硬件木马。仿真结果显示,运行时策略检查状态机可以检查出加密核、内存和UART接口的功能完整性问题,并通过发送错误中断信号进行反馈,证明了所设计的系统级安全策略检查架构的正确性与有效性。     

基于OGSA的软件资源共享技术研究*

针对软件资源共享需求,给出了软件资源共享模型;比较了软件资源共享与网格的相似特点,设计了基于OGSA的软件资源共享系统,详细介绍了系统的体系结构和系统实现的关键技术。考虑到影响软件资源共享服务器性能参数的动态不稳定性和不可公度性,运用模糊多目标格序决策的方法对满足SRSR的软件资源服务器进行了优选。