高超声速飞行器发展战略研究

提出了发展高超声速武器的迫切性 ,分析了当前美、俄两种最新性能导弹PAC Ⅲ ,9M96E的气动布局及操纵控制形式 ,指出这是一种很有创意、能大幅度提高导弹作战性能的设计思想和技术途径。研究了我国在研、预研高超声速导弹对气动技术的需求。     

面向大规模集群并行I/O的用户层配置优化策略研究

近年来,大规模并行场景下的I/O性能越来越受到应用科学家的关注。影响应用I/O性能的关键因素主要有三个层次：包括应用的I/O接口实现、体系结构和文件系统组件的性能以及应用的I/O参数配置。本文从应用I/O配置优化的视角,分析了大规模集群并行I/O的配置调优空间,在此基础上,给出了一套大规模集群并行I/O性能特征测试分析方法,基于该方法,在某国产超级计算集群上开展了一系列I/O测试分析来刻画系统的I/O性能特征,进而指导并行应用程序的I/O配置优化。基于优化后的配置参数,在两类典型的并行I/O场景中,针对某类生产应用程序,8192进程下的重启动数据写操作时间下降了15%,4096核的程序作业加载时间从10分钟缩短到了5s。本文提出的I/O配置调优空间及优化方法,可以推广应用到其它同类系统平台,对于大规模集群上的用户层并行I/O配置调优具有借鉴意义。     

面向大规模集群的并行I/O用户层配置优化策略

影响应用I/O性能的关键因素主要有三个层次:包括应用的I/O接口实现、体系结构和文件系统组件的性能以及应用的I/O参数配置。从应用I/O配置优化的视角,分析了大规模集群并行I/O的配置调优空间,在此基础上,给出了一套大规模集群并行I/O性能特征测试分析方法。基于该方法,在某国产超级计算集群上开展了一系列I/O测试分析来刻画系统的I/O性能特征,进而指导并行应用程序的I/O配置优化。基于优化后的配置参数,在两类典型的并行I/O场景中,针对某类生产应用程序,8192进程下的重启动数据写操作时间下降了15%,4096核的程序作业加载时间从10 min缩短到了5 s。     

飞机近距发射空空导弹时安全性评估方法

以概率方法确定了飞机近距发射空空导弹时的安全性评估指标,分析了载机、导弹和目标三者初始状态,飞机轨迹等诸多因素对载机安全性的影响,同时给出了评估飞机运用空空导弹攻击目标时的安全性评估指标的原理框架。运用此模型可以解决新型飞机的安全性设计问题以及通过对现有飞机的安全性评估来改进飞机的安全性等级。     

导航装备数字维修平台的安全技术

讨论了导航装备数字维修平台的网络传输安全性问题,分析其安全需求,提出采用Java安全技术来解决堆修平台的安全性.从工程项目实际需要的角度出发,阐述了在导航装备数字维修平台中的Java安全机制以及实现技术.     

网络安全与防火墙技术

介绍了防火墙技术的概念、几种防大墙实现技术的原理、防火墙的配置及安全措施．     

Enhancing Political Cohesion in NATO during the 1950s or: How it Learned to Stop Worrying and Love the (Tactical) Bomb

This article argues that the perceived need by NATO to nurture political cohesion within the Alliance during the 1950s resulted in the adoption of strategic concepts that were out-of-step with the military environment in which it was operating. It maintains that the Alliance acquiesced to American leadership on nuclear issues which led to the development of tactical nuclear capabilities at the expense of conventional war-fighting capabilities for the defence of the European Central Front. This resulted in a strategic concept that enhanced political cohesion but was militarily unviable.     

Flexible capacity strategy in an asymmetric oligopoly market with competition and demand uncertainty

This article studies flexible capacity strategy (FCS) under oligopoly competition with uncertain demand. Each firm utilizes either the FCS or inflexible capacity strategy (IFCS). Flexible firms can postpone their productions until observing the actual demand, whereas inflexible firms cannot. We formulate a new asymmetrical oligopoly model for the problem, and obtain capacity and production decisions of the firms at Nash equilibrium. It is interesting to verify that cross‐group competition determines the capacity allocation between the two groups of firms, while intergroup competition determines the market share within each group. Moreover, we show that the two strategies coexist among firms only when cost differentiation is medium. Counterintuitively, flexible firms benefit from increasing production cost when the inflexible competition intensity is sufficiently high. This is because of retreat of inflexible firms, flexibility effect, and the corresponding high price. We identify conditions under which FCS is superior than IFCS. We also demonstrate that flexible firms benefit from increasing demand uncertainty. However, when demand variance is not very large, flexible firms may be disadvantaged. We further investigate the effects of cross‐group and intergroup competition on individual performance of the firms. We show that as flexible competition intensity increases, inflexible firms are mainly affected by the cross‐group competition first and then by the intergroup competition, whereas flexible firms are mainly affected by the intergroup competition. Finally, we examine endogenous flexibility and identify its three drivers: cost parameters, cross‐group competition, and intergroup competition. © 2017 Wiley Periodicals, Inc. Naval Research Logistics 64: 117–138, 2017     

Global strategic studies: a manifesto

This contribution reflects on the state of strategic studies today and the criticism it has received in recent years, as being outdated and irrelevant. The authors formulate some premises for reinvigorating this field of inquiry by widening its scope and research agenda to do more justice to the wide variety of actors, perspectives and practices observable in the enterprise of strategy in our contemporary globalised world.     

分布式计算环境下的栅格数据存储策略

针对传统的栅格数据存储策略不能满足分布式计算环境下粗粒度数据访问需求,应对海量栅格数据计算时效率低下的问题,结合分布式文件系统的存储特点,同时考虑地图代数算子在Map/Reduce阶段以栅格瓦片为单位的计算特点,提出一种基于Hadoop分布式文件系统的栅格瓦片存储策略。围绕栅格数据瓦片分割、压缩瓦片数据组织与存储、分布式文件输入输出接口改进等方面对该存储策略加以实现,并使用基于该存储策略的地图代数局部算子的分布式计算流程加以验证。理论分析与实验结果表明,该策略能够显著提高分布式计算环境下空间分析算子的运算速度。