共享制造环境下基于Z-RIM的QoS多方异质评价方法

为解决共享制造环境下决策信息异质、候选服务数量动态变化的制造服务QoS评价问题,基于平台、服务需求方、服务提供方的三方决策信息,提出一种符合共享制造特点的QoS多方异质制造服务评价方法。通过精确数、语言变量和Z-number处理异质信息;基于共识最大化计算决策方权重向量,利用TrFWAA算子集结多方信息,依据离差最大化模型计算属性权重;在此基础上,采用RIM对各服务进行评估。结合共享制造环境下的制造业服务优选案例对提出的方法进行验证分析,结果表明该方法具有较好的实用性和优越性。

QoS数据不确定性下电力业务服务自适应选取模型

针对电力业务服务选取不可靠,造成用户服务质量不佳的问题,构建了QoS数据不确定性下电力业务服务自适应选取模型。通过局部约简处理方法,调整搜索空间,计算约束满意度的自适应值,采用动态适应性函数和惩罚函数进行服务寻优。充分考虑QoS数据不确定性,设计电力业务服务自适应选取流程。依据QoS属性,构建基于响应时间的自适应选取云模型,通过计算属性云期望值、熵值、随机性及反馈相似度实现电力业务服务自适应选取。由实验结果可知,该模型的用户满意度最大值为88%,计算时间最大值为0.69 s,能够有效提升电力业务服务质量。

云雾网络中低延迟QoS路由模型的研究

文章提出一种适用于云雾计算环境的低延迟QoS路由模型,以应对云雾网络中的数据传输延迟问题,并保证服务的可靠性与效率。在深入分析云雾网络特性基础上,构建了包含关键QoS参数的网络切片评估模型,并据此设计出能够动态调整路由策略的算法,有效适应网络状态变化。仿真实验显示,处理1000MB数据时,该模型较传统云计算网络减少了11.95秒的延迟时间,仅需18.47秒,显著提升了网络吞吐量与操作速度,同时降低了丢包率,对提升网络性能和用户体验至关重要。

计及节点重要度协同知识模型的电力通信QoS路由策略

“双碳规划”下电网面临形态和功能的集约升级,区域内节点化、模块化特征愈加突出,亟需研究一种计及节点特性的路由算法,来保障通信网支撑能力。首先,依托节点的电网影响度和拓扑关系定义了重要度参数。其次,从状态转移、自适应搜索收敛控制等方面将重要度嵌入策略模型,引导路由优化方向。然后,引进参数知识模型挖掘优化问题的相关知识,协同重要度指导后续优化过程,降低了蚁群系统的参数敏感性。最后,通过仿真证明在满足服务质量(quality of service,QoS)前提下,策略模型计及节点重要度的知识型路由能快速收敛,并提供了良好而稳定的主备用路由性能。

基于服务负载的时序QoS预测

网络技术的发展和多接入边缘计算的兴起使得计算和网络资源的部署逐渐靠近终端.随着服务数量的增多,为了向用户更好地推荐服务,如何在复杂、动态的边缘计算环境中实时、准确地预测服务质量(quality of service,QoS)成为一项挑战.本文提出一种基于服务负载实时预测QoS的深度神经模型(QPSL),它可以为边缘计算中的QoS预测提供缺少的负载状况感知和周期感知.首先,对服务的负载状况进行特征表示,并通过时序分解模块获取时序特征.其次,将CNN和BiLSTM结合,学习潜在的时序关系,生成不同时刻的状态向量.然后,基于Attention机制为历史时刻的状态向量分配权重,从而构造未来时刻的状态向量.最后,将上下文嵌入向量与状态向量送入感知层完成实时QoS预测.基于真实的融合数据集进行了大量的实验,结果表明QPSL在响应时间和吞吐量任务上的MAE分别平均提升了10.28%和10.87%,优于现有的时间感知QoS预测方法.

Modeling and performance evaluation of QoS-aware job scheduling of computational grids

To achieve high quality of service （QoS） on computational grids, the QoS-aware job scheduling is investigated for a hierarchical decentralized grid architecture that consists of multilevel schedulers. An integrated QoS-aware job dispatching policy is proposed, which correlates priorities of incoming jobs used for job selecting at the local scheduler of the grid node with the job dispatching policies at the global scheduler for computational grids. The stochastic high-level Petri net （SHLPN） model of a two-level hierarchy computational grid architecture is presented, and a model refinement is made to reduce the complexity of the model solution. A performance analysis technique based on the SHLPN is proposed to investigate the QoS-aware job scheduling policy. Numerical results show that the QoS-aware job dispatching policy outperforms the QoS-unaware job dispatching policy in balancing the high-priority jobs, and thus enables priority-based QoS.

Multiple QoS modeling and algorithm in computational grid

Multiple QoS modeling and algorithm in grid system is considered. Grid QoS requirements can be formulated as a utility function for each task as a weighted sum of its each dimensional QoS utility functions. Multiple QoS constraint resource scheduling optimization in computational grid is distributed to two subproblems： optimization of grid user and grid resource provider. Grid QoS scheduling can be achieved by solving sub problems via an iterative algorithm.

A Fuzzy Directed Graph-Based QoS Model for Service Composition

Web service composition lets developers create applications on top of service-oriented computing and its native description, discovery, and communication capabilities. This paper mainly focuses on the QoS when the concrete composition structure is unknown. A QoS model of service composition is presented based on the fuzzy directed graph theory. According to the model, a recursive algorithm is also described for calculating such kind of QoS. And, the feasibility of this QoS model and the recursive algorithm is verified by a case study. The proposed approach enables customers to get a possible value of the QoS before they achieve the service.

An On-chip Interconnection QoS Verification Platform of Processor of Large Data for Architectural Modeling Analysis

This paper presents introduction for a QoS verification of on-chip interconnection based on the new progress of the industry, which combined with an AMD processor chip design for big data. Some verification experience in architectural modeling and simulation of on-chip interconnection is also introduced in this paper.

The Research on QoS Model Design in Mobile Ad Hoc Networks

Wireless Ad Hoc Networks is a special kind of wireless communication network. With the great development of multimedia applications, how to provide QoS guarantee in the MAC layer is the hot topic in wireless ad hoc network (MANET). This paper designed a QoS model in MANET. The feasibility and reliability of this model is analyzed and verified. Compared with the traditional model, the proposed approach is improved in MAC layer in order to achieve high control rate of low-priority transactions.

Hybrid Metaheuristics Web Service Composition Model for QoS Aware Services

Recent advancements in cloud computing(CC)technologies signified that several distinct web services are presently developed and exist at the cloud data centre.Currently,web service composition gains maximum attention among researchers due to its significance in real-time applications.Quality of Service(QoS)aware service composition concerned regarding the election of candidate services with the maximization of the whole QoS.But these models have failed to handle the uncertainties of QoS.The resulting QoS of composite service identified by the clients become unstable and subject to risks of failing composition by end-users.On the other hand,trip planning is an essential technique in supporting digital map services.It aims to determine a set of location based services(LBS)which cover all client intended activities quantified in the query.But the available web service composition solutions do not consider the complicated spatio-temporal features.For resolving this issue,this study develops a new hybridization of the firefly optimization algorithm with fuzzy logic based web service composition model(F3L-WSCM)in a cloud environment for location awareness.The presented F3L-WSCM model involves a discovery module which enables the client to provide a query related to trip planning such as flight booking,hotels,car rentals,etc.At the next stage,the firefly algorithm is applied to generate composition plans to minimize the number of composition plans.Followed by,the fuzzy subtractive clustering(FSC)will select the best composition plan from the available composite plans.Besides,the presented F3L-WSCM model involves four input QoS parameters namely service cost,service availability,service response time,and user rating.An extensive experimental analysis takes place on CloudSim tool and exhibit the superior performance of the presented F3L-WSCM model in terms of accuracy,execution time,and efficiency.

Proposal for a Future Internet Business Model and Regulatory Acts in a Technological Convergence Environment Supporting Continuity of QoS

The communications development requires interaction between converging heterogeneous technology environment, with quality and continuity of services to remain competitive. The full implementation of the Future Internet concept implies in the necessity to operate among heterogeneous technology platforms with continuity of QoS (Quality of Service), what leads to the necessity of an innovative business model to support it and new technical mechanisms of vertical handover to ensure the QoS continuity required and expected by final users but, mainly, perceived by them. An innovative business model that requires innovative QoS continuity mechanisms must consider technical and commercial interoperation among many telecommunication services providers, nationally and internationally based. This interaction demands clear rules to be followed by every player along the telecommunication services chain,i.e., it demands a set of regulation acts to guide them and allow their viability.

一种可扩展的Web Service QoS管理框架

Web Service是目前研究界和产业界广泛关注的技术之一.随着Web Service的广泛应用,研究者们普遍认识到,服务的非功能属性,即服务质量(Quality of Service,QoS)是面向服务的应用能否成功的关键因素之一.因此,研究者们尝试从多个角度对QoS相关问题展开了研究.然而,现有工作普遍关注基于QoS的动态服务选择和组装等上层应用技术,而对于如何获取、存储、度量QoS等基础支持技术研究较少,而这些基础性工作对QoS相关的研究工作具有显著的重要性.此外,不同应用领域对Web Service QoS的需求不尽相同,因此,需要有一套灵活的机制支持在QoS模型定义、QoS度量方法、QoS信息采集等方面体现出的领域特性.针对这个问题,文中提出了一个可扩展的Web Service QoS信息管理框架,详细分析了该框架涉及到的重要方法与核心技术,并给出了该框架在北京大学软件构件库系统中的设计决策和方案.最后,介绍了文中框架在一个863计划项目中的应用实例,该实例展示了用户根据其应用的领域需求对本框架进行扩展并进行Web Service QoS管理的方法,从而验证了本管理框架的可扩展性及实用性.

基于云模型的不确定性QoS感知的Skyline服务选择

由于传统QoS感知的Web服务选择方法无法保证服务选择的可靠性和实时性,提出了一种基于云模型的不确定性QoS感知的Skyline服务选择方法.该方法首先通过云模型计算QoS的不确定性,然后采用Skyline计算提取Web服务中的Skyline服务,剔除冗余服务,最后采用混合整数规划在Skyline服务中进行服务选择.在公共有效数据集和合成数据集上的实验结果表明,所提出的方法能够为用户提供可靠、快速的服务选择.

Web服务组合功能与QoS的形式化统一建模和分析

进程代数是一种适合描述Web服务组合的形式建模语言,然而同样对QoS建模和分析的支持不足.在现有进程代数的基础上,提出了一种代价概率进程代数PPPA(priced probabilistic process algebra),给出其语法和语义,证明其具有功能、概率和代价的统一建模和分析能力.给出了基于PPPA统一建模和分析Web服务组合功能和QoS的方法.实例建模和分析了Web服务组合的功能、可靠性、性能和代价,其结果表明,PPPA可以有效地支持Web服务组合功能和QoS的形式化统一建模和分析.

适应QoS路由机制的网络模型研究

目前的网络模型 ,大都对网络的边 (链路 )加权 ,如两点间的距离、链路带宽以及延迟等 .作为 IETF提出的网络集成服务框架下资源管理的一个重要组件 ,Qo S路由问题越来越受到人们的重视 .为了保证网络服务质量 ,路由选择不再仅仅以“可达”和“最短路径”为衡量标准 ,而是希望根据多个 Qo S约束的尺度 (m etrics)来选择可行的路由以满足应用所需的延迟、延迟抖动、带宽和丢失率等要求 .为此 ,作者提出了新的网络模型 ,更加便于计算 Qo S路由 ,同时也适合资源预留的描述 .

下一代网络自适应QoS研究

With the development of Internet technology, especially the conditions of wireless and mobility be migrated, more user's tasks with different QoS requirement will be implemented in Internet, this will make current network-level QoS guarantee not meeting future user's needs. However, adaptive QoS is the best way that solves future user's quality needs in wireless mobile environments. In this paper, for the future network conditions with heterogeneity, mobility, more covered links, more covered services and so on, based on the original object of QoS, which it guarantees use's personality need, we propose the concepts such as network-level, application-level and userlevel, and then discuss future user demands characteristics, and detail adaptive QoS conception, studying ranges and basic architecture. Finally, we show our future work direction.

面向语用Web服务的QoS评价模型研究

QoS在语用Web服务提供过程中担负着重要的角色。该文提出了一种语用Web服务质量评价模型,在满足服务的功能需求同时,满足其QoS要求;给出了模型的基本定义,并采用QoS评价树的方法描述QoS评价属性之间的关系。为了反映不同属性在QoS评价中所占的比重,对QoS评价属性引入权重概念,给出一种基于信息熵的样本统计计算权重值的算法。

基于信任QoS增强的网格服务调度算法

针对目前服务网格资源管理中存在的信任机制与调度机制分离的缺陷,基于网格信任模型与信任效益函数,讨论了信任QoS增强的计算服务调度问题．分析传统调度算法的缺陷,提出了基于信任关系的网格服务调度算法．该算法在保证服务性能Qos要求的同时兼顾信任QoS的要求．对基于信任关系的网格服务调度算法性能进行了多角度分析和大规模仿真实验．结果表明:该算法较传统的基于性能QoS的调度启发式和另外两种基于信任Qos的调度启发式而言,不仅具有较优的平均信任效益、总信任效益和较小的最终服务期,而且在失效服务数和系统吞吐率等方面具有较好的综合性能．

QuCOM:一种面向构件系统的QoS管理模型

在性能变化不确定的系统内,不同的应用处于竞争和共享有限的系统资源、并受其变化影响的环境中·在系统运行时,对于需要QoS保证的应用,为保证其QoS属性,应能适应于这种环境·考虑到系统资源的全局管理特性,仅从应用中增加适应机制是不够的,还需在系统层中增加QoS管理机制·为此,给出了一种面向构件系统的QoS管理模型———QuCOM(qualitycomponent)及其集成到系统构件框架的方法,使基于QuCOM开发的构件应用能够适应于变化的系统环境,并为了验证QuCOM的有效性,以一个视频流应用为例,给出了相关实验数据分析·