Joint Optimization for on-Demand Deployment of UAVs and Spectrum Allocation in UAVs-Assisted Communication

To improve the efficiency and fairness of the spectrum allocation for ground communication assisted by unmanned aerial vehicles(UAVs),a joint optimization method for on-demand deployment and spectrum allocation of UAVs is proposed,which is modeled as a mixed-integer non-convex optimization problem(MINCOP).An algorithm to estimate the minimum number of required UAVs is firstly proposed based on the pre-estimation and simulated annealing.The MINCOP is then decomposed into three sub-problems based on the block coordinate descent method,including the spectrum allocation of UAVs,the association between UAVs and ground users,and the deployment of UAVs.Specifically,the optimal spectrum allocation is derived based on the interference mitigation and channel reuse.The association between UAVs and ground users is optimized based on local iterated optimization.A particle-based optimization algorithm is proposed to resolve the subproblem of the UAVs deployment.Simulation results show that the proposed method could effectively improve the minimum transmission rate of UAVs as well as user fairness of spectrum allocation.

SA BASED SOFTWARE DEPLOYMENT RELIABILITY ESTIMATION CONSIDERING COMPONENT DEPENDENCE

Reliability is one of the most critical properties of software system.System deployment architecture is the allocation of system software components on host nodes.Software Architecture(SA) based software deployment models help to analyze reliability of different deployments.Though many approaches for architecture-based reliability estimation exist,little work has incorporated the influence of system deployment and hardware resources into reliability estimation.There are many factors influencing system deployment.By translating the multi-dimension factors into degree matrix of component dependence,we provide the definition of component dependence and propose a method of calculating system reliability of deployments.Additionally,the parameters that influence the optimal deployment may change during system execution.The existing software deployment architecture may be ill-suited for the given environment,and the system needs to be redeployed to improve reliability.An approximate algorithm,A*_D,to increase system reliability is presented.When the number of components and host nodes is relative large,experimental results show that this algorithm can obtain better deployment than stochastic and greedy algorithms.

Deployment Strategy for Multiple Controllers Based on the Aviation On-Board Software-Defined Data Link Network

In light of the escalating demand and intricacy of services in contemporary terrestrial,maritime,and aerial combat operations,there is a compelling need for enhanced service quality and efficiency in airborne cluster communication networks.Software-Defined Networking(SDN)proffers a viable solution for the multifaceted task of cooperative communication transmission and management across different operational domains within complex combat contexts,due to its intrinsic ability to flexibly allocate and centrally administer network resources.This study pivots around the optimization of SDN controller deployment within airborne data link clusters.A collaborative multi-controller architecture predicated on airborne data link clusters is thus proposed.Within this architectural framework,the controller deployment issue is reframed as a two-fold problem:subdomain partition-ing and central interaction node selection.We advocate a subdomain segmentation approach grounded in node value ranking(NDVR)and a central interaction node selection methodology predicated on an enhanced Artificial Fish Swarm Algorithm(AFSA).The advanced NDVR-AFSA(Node value ranking-Improved artificial fish swarm algorithm)algorithm makes use of a chaos algorithm for population initialization,boosting population diversity and circumventing premature algorithm convergence.By the integration of adaptive strategies and incorporation of the genetic algorithm’s crossover and mutation operations,the algorithm’s search range adaptability is enhanced,thereby increasing the possibility of obtaining globally optimal solutions,while concurrently augmenting cluster reliability.The simulation results verify the advantages of the NDVR-IAFSA algorithm,achieve a better load balancing effect,improve the reliability of aviation data link cluster,and significantly reduce the average propagation delay and disconnection rate,respectively,by 12.8%and 11.7%.This shows that the optimization scheme has important significance in practical application,and can meet the high requirements of modern sea,land,and air operations to aviation airborne communication networks.

Software architecture based software deployment reliability estimation considering architectural style

Software today often consists of a large number of components offering and requiring services. Such components should be deployed into embedded, pervasive environments, and several deployment architectures are typically possible. These deployment architectures can have significant impacts on system reliability. However, existing reliability estimation approaches are typically limited to certain classes or exclusively concentrate on software reliability, neglecting the influence of hardware resources, software deployment and architectural styles. The selection of an appropriate architectural style has a significant impact on system reliability of the target system. Therefore, we propose a novel software architecture （SA） based reliability estimation model incorporating software deployment and architectural style. On the basis of two architectural styles, we design influence factors and present a new approach to calculate system reliability. Experimental results show that influence factors provide an accurate and simple method of reflecting architectural styles and software deployment on system reliability. It is important for considering the influence of other architectural styles on system reliability in large scale deployment environment.

Maturity assessment model for aircraft collaborative design software solution

In order to assure quality and control process in the development of the aircraft collaborative design software, a maturity assessment model is proposed. The requirements designing—house of quality is designed to evaluate the maturity degree of the solution, and the evaluation results can help to manage and control the development process. Furthermore, a fuzzy evaluation method based on the minimum deviation is proposed to deal with the fuzzy information. The quantitative evaluation result of the maturity degree can be calculated by optimizing the semantic discount factor aim for the minimum deviation. Finally, this model is illustrated and analyzed by an example study of the aircraft collaborative design software.

A Safe and Reliable Heterogeneous Controller Deployment Approach in SDN

Software-Defined Networking(SDN)provides flexible and global network management by decoupling control plane from data plane,and multiple controllers are deployed in the network in a logically centralized and physically distributed way.However,the existing approaches generally deploy the controllers with the same type in the network,which easily causes homogeneous controller common-mode fault.To this end,this paper proposes heterogeneous controller deployment in the SDN,considering the different types of controllers and relevant criteria(e.g.,delay,control link interruption rate,and controller fault rate).Then,we introduce a Safe and Reliable Heterogeneous Controller Deployment(SRHCD)approach,consisting of two stages.Stage 1 determines the type and the number of heterogeneous controllers required for the SDN network based on the dynamic programming.Stage 2 divides the SDN network into multiple subnets by k-means algorithm and improves the genetic algorithm to optimize the heterogeneous controller deployment in these SDN subnets to ensure reliable switch-controller communications.Finally,the simulation results show that the proposed approach can effectively reduce the control plane fault rate and increase the attack difficulties.Besides,the switch-controller delay has been lowered by 16.5%averagely.

Categorization of Software Release Risks and Its Abatement Strategy

Growing competition in the software industry with the persistently changing needs and the usual?problems associated with software release, which have made acceptance of a new software in?market, are extremely important for the success. Volatility in the software developmental processes is generally difficult to handle. The change request at any arbitrary point of time leads to the inevitable change and rework request. The software release process which broadly includes all the process that starts after the completion of development till the final deployment. This complete phase is exposed to various risks which may hamper the final result. This paper presents threat associated with software release activities and their possible mitigation and exploring the role played by the change management in controlling or reducing those risks.For the effective survival in ever changing software industry needs, Software Release Management takes a holistic view of the change and configuration relationship and work on the improvement strategies for the effective release with zero defect potential.

Deploying Safety-Critical Applications on Complex Avionics Hardware Architectures

Aviation electronics (avionics) are sophisticated and distributed systems aboard an airplane. The complexity of these systems is constantly growing as an increasing amount of functionalities is realized in software. Thanks to the performance increase, a hardware unit must no longer be dedicated to a single system function. Multicore processors for example facilitate this trend as they are offering an increased system performance in a small power envelope. In avionics, several system functions could now be integrated on a single hardware unit, if all safety requirements are still satisfied. This approach allows for further optimizations of the system architecture and substantial reductions of the space, weight and power (SWaP) footprint, and thus increases the transportation capacity. However, the complexity found in current safety-critical systems requires an automated software deployment process in order to tap this potential for further SWaP reductions. This article used a realistic flight control system as an example to present a new model-based methodology to automate the software deployment process. This methodology is based on the correctness-by-construction principle and is implemented as part of a systems engineering toolset. Furthermore, metrics and optimization criteria are presented which further help in the automatic assessment and refinement of a generated deployment. A discussion regarding a tighter integration of this approach in the entire avionics systems engineering workflow concludes this article.

基于AUTOSAR的汽车控制器软件优化部署研究

针对基于AUTOSAR的汽车控制器软件开发过程中SW-C到ECU、Runnable到OsTask以及OsTask到多核ECU中Core的软件优化部署问题,面向工程应用需求,建立了基于AUTOSAR的汽车控制器软件拓扑和优化部署模型,提出了一种基于D2RL和PER改进的SAC深度强化学习求解框架.仿真实验显示所提方法相比于常用启发式算法在ECU核心负载均衡、OsTask栈空间利用率以及ECU之间和Core之间通信带宽利用率等具有优越性和稳定性.

软件定义无线网络异构服务功能链低功耗部署方法

受到节点性能以及功耗方面的限制,在对无线网络异构服务功能链进行部署时,通常会因缺乏节点重要程度评估而导致部署效果不佳。对此,提出软件定义无线网络异构服务功能链低功耗部署方法。首先通过对网络协议内容进行获取,实现拓扑结构感知,并构建出节点重要度与节点链路数目之间的相关关系,对网络节点的重要度进行计算。然后将原始服务功能链拆分为多个独立的服务功能,并以节点综合度最高以及网络功耗最低构建出的目标函数作为映射方案求解途径,将服务功能映射到物理节点上。利用SDN控制器的编程接口,将功能链分解与映射的结果转化为网络配置指令。最后构建交换机的流量需求信息与待部署节点之间的映射关系,从而实现低功耗部署。在实验中,对提出的服务功能链部署方法进行了部署效果的检验。最终的测试结果表明,采用提出的方法对服务功能链进行模拟部署后,软件定义无线网络的功耗值更低,具备较为理想的部署效果。

基于本地收益最大化的命名网内计算部署机制

命名网内计算(named in-network computing,NINC)是一种基于命名数据网络架构、在网络设备处提供泛在计算服务的新兴计算方案。如何有效在单个路由器上部署多个NINC服务,仍有待探索。针对这一问题,提出了本地部署收益与本地服务收益的概念,前者表征NINC服务本地部署后降低转发流量所获得的CPU资源节约量,后者表征所部署的NINC服务每消耗单位CPU资源所获得的流量处理能力。在此基础上,设计了一种基于本地收益最大化的NINC部署机制。该机制中,路由器周期性预评估拟部署NINC服务的本地部署收益与本地服务收益,进而将部署问题转化为一个背包问题,求解出优化的NINC服务部署方案。仿真结果表明,相较于基于流行度的机制,该机制能够有效提高网内计算流量处理能力,在网内计算服务所需数据量均匀分布的一般性场景下,单个路由器可获得约20%~27%的处理能力提升。

基于5G软件定义网络的变电站巡检智能控制系统设计

为减少变电站巡检机器人远程控制的位置偏差和网络时延,实现高效智能控制,设计基于5G软件定义网络的变电站巡检智能控制系统。设计系统结构,基于5G软件定义网络实时监控变电站运行情况;设计系统硬件分为微处理器模块、电机驱动模块、通信模块;通信模块使用基于免疫计算的5G软件定义网络功能部署优化算法,完成网络功能部署优化,实现变电站巡检智能控制系统程序设计。实验结果表明:在设计系统控制下,变电站巡检机器人的驱动路径与路标路径十分接近,轨迹形状一致,位置偏差控制在200 mm之内,航向偏差最大值控制在-50°,平均网络时延偏差最大值是0.1 s,减少了远程控制的位置偏差和网络时延,可满足巡检机器人高效智能控制应用需求。

国产操作系统软件部署依赖性分析及解决方法研究

以国产Linux操作系统UOS为例,分析了国产操作系统软件的部署依赖性问题,并提出了相应的解决方法。首先介绍了某国产操作系统的概况、应用场景和市场前景;然后探讨了软件部署的概念和流程,包括软件包管理器、手动编译安装以及虚拟环境和容器的使用;最后讨论了国产操作系统中常见的软件依赖性问题,包括库依赖性、版本依赖性、架构依赖性等,并分析了这些问题在国产Linux操作系统中的具体表现。

基于低代码平台的软件开发实践研究

低代码平台凭借其减少代码和编程工作、提高开发效率以及降低开发成本的优势,已经成为企业应对数字化转型的重要工具。该研究对当前知名的低代码平台进行了分析,揭示了其通过拖拽方式实现快速交付和产品迭代,以及灵活、可靠的软件系统开发与部署的优点,并基于低代码Oracle APEX平台,验证了实际案例。文章以期为寻找满足企业软件系统快速开发需求的新途径提供参考,进一步助力企业的数字化转型。

农田无线传感器网络的节点部署仿真与实现

应用无线传感器网络进行农田信息采集时,针对农田面积大、传感器节点众多的特点,如何有效地部署节点成为研究的热点之一。利用NS2软件从丢包率、平均延时、剩余能量和接收信号强度等网络性能角度对随机部署、正六边形部署及正四边形部署方式进行了仿真比较,最终确定正六边形部署方案,并在农田中进行实地试验。结果表明系统能够实现无缝覆盖,稳定可靠的采集农田信息,为无线传感器网络在农田环境中的进一步应用提供了参考。

W^4H:一个面向软件部署的技术分析框架

部署是软件生命周期中的一个重要环节,是软件生产的后期活动,通过配置、安装和激活等活动来保障软件制品的后续运行.为了系统地了解软件部署的现状和最新进展,建立了一个多侧面、细粒度的分析框架——W4H,以对该领域的主要研究工作和系统工具进行概括分析.该框架从软件部署的概念和面对的问题空间出发,由5个侧面、12个维度构成,覆盖了软件部署方法中主体、客体、适用范围、方式策略和过程支持能力等多个方面.基于W4H分析框架,对当前具有代表性的软件部署方法与技术进行分析和总结.案例研究结果表明,该分析框架能够对软件部署方法与技术进行较为全面的分析,对软件系统部署方法和技术的选择及开发具有重要的指导意义.

一个面向智能电话的移动可信平台设计

由于手机病毒或设备失窃,导致手机上的私密数据面临泄漏的危险。为了满足移动平台的安全需求,TCG的MPWG提出移动可信平台规范。然而MPWG并没有明确规定特定的技术方法来实现移动可信模块(MTM),现有研究中没有整体的可实际部署于智能手机环境的MTM平台框架性设计,对可信软件栈(TSS)也没有可以实施的详细的部署方案。设计了一个面向智能手机的移动可信平台服务模型,它将基于TrustZone的纯软件MTM实现与基于Java Card的智能卡MTM实现结合起来构建两个可信引擎。提出其中可信构建块的部署流程并对其安全性进行了分析。

一种软件部署冲突检测及其自动调整算法

主要研究能够根据不同环境自动调整软件部署过程的软件智能部署问题。首先,介绍并分析现有软件部署工具,提出软件智能部署模型、软件智能部署的规范化描述。其次,介绍并分析软件部署过程中冲突检测以及自动调整方法。在此基础上,提出一种能够根据环境差异,自动调整软件部署过程的软件智能部署算法。最后对比并分析软件智能部署实际应用效果。

一种基于B/S/S模式的电子政务系统的设计与实现

给出了电子政务系统的概念与特点,设计了基于B/S/S模式的江苏省某厅的电子政务系统的总体逻辑结构,对其中的各主要模块作了说明。介绍了系统的实现,包括实现系统开发的平台与工具、软件架构、流程以及系统的权限管理模块与平台部署模块。应用提出的系统设计与实现方案,开发的江苏省某厅的电子政务系统,具有很好的安全性与稳定性。

基于蚁群算法的面向服务软件的部署优化方法

面向服务软件的部署优化问题是典型的NP难题.本文构建了基于性能改善的软件部署优化模型,设计了一种蚁群优化算法ACO-DO进行近似最优解的快速求解.该算法通过设计基于部署优化问题的启发式、改进部署方案的构建顺序、增加局部搜索过程实现蚁群算法求解效率的提升.通过不同规模的实例实验,验证了ACO-DO算法能够取得比现有的混合整数线性规划算法、蚁群算法和遗传算法更好的性能.