一种基于分布式服务器集群的可扩展负载均衡策略技术

提出了一种基于软件定义网络的分布式数据库负载均衡算法,将数据、控制、应用分离的同时计算服务器集群中单个服务器的实际负载.通过查询流量采样记录来决策最少连接的服务器路径,减少了访问请求的响应时间,提高了系统吞吐量和容错能力,实现了充分利用服务器资源的目的.内网中的分布式数据库实验对通用负载均衡技术和基于软件定义网络的负载均衡技术进行了比较,在不同服务器集群的负载状态下,后者的平均响应时间小于前者,并得到了更好的负载均衡效果.     

一种宽频带可配置数字射频调制的实现方法

针对航空电子系统能力提升和体积重量功耗的矛盾,提出了一种宽频带可配置数字射频调制的设计与实现方法,使用数字信号处理的方法实现调制和上变频,将数字化推进到天线接口单元.首先,对比分析了3种发射信道的实现架构;其次,基于数字射频调制信道架构设计了宽频带可配置发射信道;然后,针对宽频带可配置数字射频调制在实现过程遇到的问题,一一给出了解决方法,即N次谐波调制技术、多相采样降速技术、最优本振选择方法.实现结果表明,相比传统二次发射信号的产生方案,本设计能够产生高质量的射频发射信号,幅度误差仅为1.7%RMS(Percent Root Mean Square),相位误差小于1°,误差向量幅度(EVM)仅为2.345%RMS,并具有宽频带优良的谐杂波抑制能力.     

DraLCD:一种新的数据中心流量工程方法

流量均衡是为了避免网络拥塞而作为流量工程中的路由优化目标提出来的,由于数据中心网络的流量特性,使得传统IP网络的流量工程方法不一定适合.为此,本文在SDN(Software Defined Network)的框架下,提出了一种基于链路关键度的自适应负载均衡流量工程方法:DraLCD(Dynamic Routing Algorithm based on Link Critical Degree).该方法通过对全局视图的网络管控,并充分利用了网络中存在的冗余路径,在完成细粒度流量均衡的同时,能够降低控制器的计算开销以及与交换机之间的通信开销,最终完成路由优化的目标.最后,基于DraLCD设计的原型系统,通过在Mininet仿真平台中部署并进行仿真实验,与现有的等开销多路径路由算法ECMP(Equal-Cost Multi-Path)以及GFF(Global First Fit)路由算法相比较,能够明显地提升网络性能.     

Multi-controller balancing deployment strategy based on reliability evaluation in SDN

The control plane has low reliability and controller loads were unbalanced in distributed software defined networks,and a multi-controller balancing deployment strategy based on reliability evaluation was proposed.Firstly,node reliability was evaluated by weighting node efficiency and path quality,optimizing the controller location with balancing factor.Then based on improved k-center clustering,the redundant functions was introduced and the switch allocation was completed according to node attractiveness degree and controller load balancing rate,achieving a reasonable SDN sub-domain planning.The simulations show that compared with the existing strategy the number of required controllers is reduced by an average of 22.1%.The control plane elasticity is enhanced,and the controller load balancing performance has been improved significantly.     

Simulation and analysis of software defined cognitive frequency hopping multi beam satellite system

Traditional multi-beam satellites cannot adapt to the changing traffic because of the fixed bandwidth and cannot adjust dynamically for the traffic load.In the future,the multi-beam broadband satellite system must have great flexibility and can be dynamically adjusted according to the change of the traffic flow.Beam hopping for multi-beam broadband satellite network system has been proposed to improve the traditional multi-beam broadband satellite network system performance,whose principle is to assign different beams to different time slots,rather than the allocation of bandwidth,so that in each time slot,the entire available bandwidth is allocated to each beam,and the time window is periodically applied to the beam selection system ,in the full band hopping mode,the band can be selected optimally in the duration of each beam to meet user transmission bandwidth and delay requirements.With the development of cognitive radio technology,cognitive beam hopping for multi-beam satellite system can further improve the efficiency of spectrum utilization,to meet the growing shortage of spectrum resources,to achieve large-capacity high-bandwidth broadband satellite network system,and to support the rising user service capacity and the transmission efficiency of user services under different load conditions.In addition,software definition technology is also used in satellite networks,which could achieve effective management of satellite resources to improve the utilization of satellite resources.In this paper,the principle of software-defined cognitive hopping multi-beam broadband satellite network system is discussed.The spectrum utilization efficiency and throughput are analyzed,which can be used as a reference for broadband satellite network system design.     

Power savings in software defined data center networks via modified hybrid genetic algorithm

In modern data centers, power consumed by network is an observable portion of the total energy budget and thus improving the energy efficiency of data center networks (DCNs) truly matters. One effective way for this energy efficiency is to make the size of DCNs elastic along with traffic demands by flow consolidation and bandwidth scheduling, i.e., turning off unnecessary network components to reduce the power consumption. Meanwhile, having the instinct support for data center management, software defined networking (SDN) provides a paradigm to elastically control the resources of DCNs. To achieve such power savings, most of the prior efforts just adopt simple greedy heuristic to reduce computational complexity. However, due to the inherent problem of greedy algorithm, a good-enough optimization cannot be always guaranteed. To address this problem, a modified hybrid genetic algorithm (MHGA) is employed to improve the solution's accuracy, and the fine-grained routing function of SDN is fully leveraged. The simulation results show that more efficient power management can be achieved than the previous studies, by increasing about 5% of network energy savings.     

基于嵌入式USRP的无线通信实现

针对便携式无线通信应用,基于嵌入式软件无线电平台USRP E110设计实现了以二进制相移键控（BPSK）为调制方式的无线通信系统。在该系统中,ARM 处理器作为处理核心,实现全部基带信号处理;FPGA （field programmable gate array）与射频子板作为射频前端,实现数字上下变频、中频与射频信号转换等;GNU Radio开源框架作为软件开发平台,以流图的形式实现各基带信号处理,如加扰与解扰、BPSK调制与解调等。实际测试结果表明,该系统可实现数据收发,并且可以灵活配置收发频率、发射功率等参数,具有体积小、功耗低等优点。     

国外数据中继卫星系统最新发展及未来趋势

作为天基测控系统,数据中继卫星大大提高了对用户星的覆盖率,减少了地面布站的数量,节约了成本,是各主要航天国家重点建设的航天系统之一.目前,美国、俄罗斯、欧洲和日本均发展了自己的数据中继卫星系统,在对空间和地面系统进行升级改造的同时,以小卫星星座、搭载载荷等灵活的形式,采用激光通信、软件无线电、组网等先进技术积极研发和部署下一带卫星系统,并谋划与行星中继卫星一起构建跨太阳系的中继卫星体系.总结了国外中继卫星系统的发展现状和未来,综合分析了关键技术和发展趋势,并对中国中继卫星的发展提出了建议.     

软件定义电力广域网通信业务资源公平分配技术研究

在应对海量电力业务与激增的数据流量时,刚性而封闭的电力广域网通信架构已不能完全适应。传统的流量工程技术可以改善资源利用率,但随着电力业务端到端服务质量(quality of service,Qo S)要求的不断提升,已不能从根本上解决问题。为此提出一种通过集中控制每条业务流量来重配置网络数据平面,从而适应当前流量需求的业务资源公平分配技术。通过设计资源分配函数、吞吐量最大化函数、公平分配函数和多业务流函数,搭建业务资源公平分配算法框架,从而以软件的方式实现分布式集中架构下的电力业务资源公平分配。仿真结果验证了该技术可以在资源公平分配的前提下保障电力业务的QoS。     

UCov: a user‐defined coverage criterion for test case intent verification

The goal of regression testing is to ensure that the behaviour of existing code, believed correct by previous testing, is not altered by new program changes. This paper argues that the primary focus of regression testing should be on code associated with (1) earlier bug fixes and (2) particular application scenarios considered to be important by the developer or tester. Existing coverage criteria do not enable such focus, for example, 100% branch coverage does not guarantee that a given bug fix is exercised or a given application scenario is tested. Therefore, there is a need for a new and complementary coverage criterion in which the user can definea test requirement characterizing a given behaviour to be covered as opposed to choosing from a pool of pre‐defined and generic program elements. This paper proposes this new methodology and calls it UCov, a user‐defined coverage criterion wherein a test requirement is an execution pattern of program elements, and possibly predicates, that a test case must satisfy. The proposed criterion is not meant to replace existing criteria, but to complement them as it focuses the testing on important code patterns that could go untested otherwise. UCov supports test case intent verification. For example, following a bug fix, the testing team may augment the regression suite with the test case that revealed the bug. However, this test case might become obsolete due to code modifications not related to the bug. But if a test requirement characterizing the bug was defined by the user, UCov would determine that test case intent verification failed. The UCov methodology was implemented for the Java platform, was successfully applied onto 10 real‐life case studies and was shown to have advantages over JUnit. The implementation comprises the following tools: (1) TRSpec: allows the user to easily specify complex test requirements; (2) TRCheck: checks whether user‐defined test requirements were satisfied, that is, supports test case intent verification; and (3) TRMigrate: migrates user‐defined test requirements to subsequent versions of a given program. Copyright © 2016 John Wiley & Sons, Ltd.