Self-Organizing Mechanism for Cloud Services and Performance Analysis

To improve the performance and robustness in service discovery, a self-organizing mechanism for service alliances of Service Providers (SPs) is proposed in this paper. According to the similarity of service content, an SP publishes its services in a partition of SPs to construct connections between highly similar SPs. These SPs constitute a self-organized distributed environment. A self-organizing protocol is designed to ensure the correctness of the construction of the alliances. The protocol consists of four stages - initiating stage, developing stage, developed stage and degradation stage. The experimental results demonstrate that this protocol ensures the self-property. The visualization of alliance developing stages illustrates that sub-alliances are sp lit in balance and self-connected. Compared with the Random Walker algorithm, the time cost and the number of forwarded messages in alliance-based mechanism is lower in service discovery. On three typical topologies (Grid, Random-Graph, Power-Law), the success rate of service discovery is much higher, which shows that self-organized alliances are helpful to enhance the discovery performance.

A New Self-Adapting Admission Control Algorithm for Differential Service in Web Clusters

A new admission control algorithm considering the network self-similar access characteristics is proposed. Taking advantage of the mathematical model of the network traffic admission control which can effectively overcome the self-similar characteristics of the network requests, through the scheduling of the differential service qucue based on priority while at the same time taking into account various factors including access characteristics of requests, load information, etc, smoothness of the admission control is ensured by the algorithm proposed in this paper. We design a non-linear self-adapting control algorithm by introducing an exponential admission function, thus overcomes the negative aspects introduced by static threshold parameters. Simulation results show that the scheme proposed in this paper can effectively improve the resource utilization of the clusters, while at the same time protecting the service with high priority. Our simulation results also show that this algorithm can improve system stability and reliability too. Key words Web cluster - admission control - differential service - self-similar - self-adapting CLC number TP 393 Foundation item: Supported by the National Natural Science Foundation of China (10375024) and the Hunan Natural Science Foundation of China(03JJY4054)Biography: LIU An-feng(1971-), male, Ph. D candidate, majoring in network computing, Web QoS.

Self-Adaptive QoS Control in Cognitive Networks That Is Based on Service Awareness

This paper analyzes a self-adaptive Quality of Service （QoS） control architecture for cognitive networks （CNs） that is based on intelligent service awareness. In this architecture, packets can be identified and classified using an intelligent service-aware classification model. Drawing on Control Theory, network traffic can be controlled with a self-adaptive QoS control mechanism that has side-road collaboration. In this architecture, perception, analysis, correlation, feedback, decision making, allocation, and implementation QoS mechanisms are created automatically. These mechanisms can adjust resource allocation, adapt to a changeable network environment, optimize end-to-end performance of the network, and ensure QoS.

Impact of Self-Organizing Networks Deployment on Wireless Service Provider Businesses in China

Decoupling of revenues with network traffic and extreme penetration of expenses in wireless network leads to the critical situation for wireless service providers (WSP), as more wireless network is complex due to its heterogeneity in the context of planning, software & hardware installation, radio parameters setting, drive testing, optimization, healing and maintenance. These operations are time-consuming, labor & budget-intensive and error-prone if activated manually. Hence new approaches have to be designed and applied to meet those demands in a cost-effective way, Self-organizing networks (SON), is a promising approach to handle manual tasks with autonomous manners. More specifically the self-directed functions (self-planning, self-deployment, self-configuration, self-optimization and self-healing) are aid to reduce capital expenditure (CAPEX), implementation expenditure (IMPEX) and operational expenditure (OPEX). In this study, first we investigate the aforementioned impact factors of cost combined with self-functions. Then, we analyze the relative cost benefits causing from deploying the SON functions, using the economical method to have more precise results concerning those potential benefits. At last, the result shows that there is a significant difference in expenses and revenues of WSP with and without SON after enabling self-functions in wireless network.

Performance Analysis of Wavelength Division Multiplexing Asynchronous Internet Router Employing Space Priority Mechanism under Self-Similar Traffic Input—Multi-Server Queueing System with Markovian Input and Erlang-k Services

In this paper, we analyze the queueing behaviour of wavelength division multiplexing (WDM) Internet router employing partial buffer sharing (PBS) mechanism with self-similar traffic input. In view of WDM technology in networking, each output port of the router is modelled as multi-server queueing system. To guarantee the quality of service (QoS) in Broadband integrated services digital network (B-ISDN), PBS mechanism is a promising one. As Markov modulated Poisson process (MMPP) emulates self-similar Internet traffic, we can use MMPP as input process of queueing system to investigate queueing behaviour of the router. In general, as network traffic is asynchronous (unslotted) and of variable packet lengths, service times (packet lengths) are assumed to follow Erlang-k distribution. Since, the said distribution is relatively general compared to deterministic and exponential. Hence, specific output port of the router is modelled as MMPP/Ek/s/C queueing system. The long-term performance measures namely high priority and low priority packet loss probabilities and the short-term performance measures namely mean lengths of critical and non-critical periods against the system parameters and traffic parameters are computed by means of matrix-geometric methods and approximate Markovian model. This kind of analysis is useful in dimensioning the router under self-similar traffic input employing PBS mechanism to provide differentiated services (DiffServ) and QoS guarantee.

面向移动网的P2P Web Service自组网协同通信平台

提出一种采用移动P2P Web Service技术的自组网协同通信平台SNCC(Self-organizing Networking Cooperative Communication),目标是利用移动终端天然的分布式特点,通过手机的自组网,支持手机之间的协同通信;为了克服现有移动网络的漫游性,带宽的局限性,通过自组网协同通信控制器,基于目前移动网络支持的网络协议(UDP/TCP),实现针对移动网络的自组网协同通信功能。

基于并行CNN-Self attention&LSTM的锂电池RUL间接预测

针对锂离子电池难以在线测量直接健康因子(容量、内阻)进行剩余使用寿命(RUL)预测的现状,提出基于并行CNN-Self attention与LSTM组合的锂电池RUL间接预测方法。首先基于锂离子电池放电循环数据,利用灰度关联分析筛选出能够高度体现电池容量衰减的间接健康因子;然后分别对间接健康因子使用卷积神经网络(CNN)进行特征提取和自注意力机制(Self attention)调整特征权重得到对应的特征矩阵;最后融合特征矩阵,并使用长短期记忆(LSTM)网络进行锂电池RUL预测。使用NASA锂离子电池数据集进行实验,结果表明:与传统的CNN、LSTM和CNN-LSTM模型相比,并行CNN-Self attention&LSTM模型所得到的容量衰减曲线更接近实际容量衰减曲线,误差波动范围更小,在RMSE、MAE和R2系数3种评价指标上表现更优。

CORBA和Web Services集成在金融中的应用

随着计算机软、硬件和网络、通信等技术的发展,分布式系统出现并得到了很大的发展,分布式系统已经发展成为当前计算机系统的主导模式。结合CORBA技术提出了一种基于CORBA的对象模型,这一模型更加适应银行自动设备不断增加、金融业务不断增加和改变的现状,并有助于对现有的C/S、B/S结构的系统存在的通讯问题、交易瓶颈、可扩充性差、管理和维护不方便、不适合大型网络等问题的解决。

Semantic Social Service Organization Mechanism in Cyber Physical System

Cyber physical system(CPS)provides more powerful service by cyber and physical features through the wireless communication.As a kind of social organized network system,a fundamental question of CPS is to achieve service self-organization with its nodes autonomously working in both physical and cyber environments.To solve the problem,the social nature of nodes in CPS is firstly addressed,and then a formal social semantic descriptions is presented for physical environment,node service and task in order to make the nodes communicate automatically and physical environment sensibly.Further,the Horn clause is introduced to represent the reasoning rules of service organizing.Based on the match function,which is defined for measurement between semantics,the semantic aware measurement is presented to evaluate whether environment around a node can satisfy the task requirement or not.Moreover,the service capacity evaluation method for nodes is addressed to find out the competent service from both cyber and physical features of nodes.According to aforementioned two measurements,the task semantic decomposition algorithm and the organizing matrix are defined and the service self-organizing mechanism for CPS is proposed.Finally,examinations are given to further verify the efficiency and feasibility of the proposed mechanism.

Real-time virtual reference service based on applicable artificial intelligence technologies:The début of the robot Xiaotu at Tsinghua University Library

The adoption of applicable artificial intelligence technologies to library real-time virtual reference services is an innovative experimentation in one of the key areas of library services. Based on the open source software Artificial Linguistic Internet Computer Entity(A.L.I.C.E.) and a combined application of several other relevant supporting technologies for facilitating the use of the current existing library resources, Tsinghua University Library has recently developed a real-time smart talking robot, named Xiaotu,for the enhancement of its various service functions, such as reference services, book searching, Baidu Baike searching, self-directed learning, etc. The operation of Xiaotu is programmed into Renren website(a social networking website), which adds significantly an innovative feature to the modus operandi of the real-time virtual reference service at Tsinghua University Library.

In search of service innovations by public libraries in Chinese urban centers:A case study of Dongguan Library

This article introduces several of the more significant service delivery innovations and their resulting accomplishments instigated by Dongguan Library(thereafter abbreviated as DGL) in recent years. The textual exposition of this paper is based on a case study of DGL by this author about its user-centered vision, mission, immediate objectives and the exhibited service performance within a contextual environment of collegial support from its professional peers. After a five-year period of intensive efforts on such focused professional development and practice, DGL has completed its information service mapping and information delivery for the entire municipality of Dongguan on a 7-day and twentyfour-hour(7/24) basis. This singular feast of accomplishment seems to suggest the moral that any significant development of scale of a municipal library has to be in keeping pace closely with the progress of the society at large in general and with the changing information demands of its local clientele in particular.

不同类型高自尊青少年正误反馈下的自我服务偏向特征

目的:探讨不同类型高自尊青少年自我服务偏向特征及差异。方法:选取1027青少年学生,采用罗森伯格自尊量表(RSES)筛选外显高自尊230人,内隐联想测验(IAT)测量内隐自尊,判为安全型高自尊和脆弱型高自尊青少年各36例,运用面孔工作记忆任务(FWM)开展2(不同自尊类型)×2(反馈类型)两因素混合实验设计研究。结果:不同类型高自尊青少年间自我服务偏向主效应有统计学意义[F(1,35)=85.41,P<0.001,η^(2)=0.23];安全型高自尊青少年在正确反馈[t(35)=-6.51,P<0.001,d=5.44]和错误反馈[t(35)=-10.79,P<0.001,d=6.50]条件下均没有表现出自我服务偏向;脆弱型高自尊青少年在正确反馈[t(35)=-2.85,P<0.05,d=2.50]条件下不存在自我服务偏向,错误反馈[t(35)=6.99,P<0.001,d=4.49]条件下存在自我服务偏向;高自尊类型与反馈类型之间存在交互作用[F(1,35)=28.65,P<0.001,η^(2)=0.14]。结论:脆弱型高自尊青少年错误反馈下表现出明显的自我服务偏向,高自尊异质性分化是青少年自我服务偏向差异形成的因素。

采用社会约束自适应动态窗口法的服务机器人路径规划

针对传统动态窗口法在行人密集环境下动态路径规划存在灵活性差、效率低、安全性缺乏等问题,提出一种社会交互空间下基于社会约束自适应动态窗口法(social_DWA),并采用其解决服务机器人局部路径规划问题。首先,采用非对称高斯公式对单行人以及多人群组交互空间进行模型化描述;其次,在传统动态窗口法的基础上,采用动态行人方位角约束对动态行人进行避让;改进距离评价函数,分类决策与行人、多人群组、一般障碍物的安全距离;最后,提出速度权重自适应调整策略,优化服务机器人在途经不同密集度社会交互区域时的移动速度。为验证算法有效性,在两种模拟社会场景下,先后开展了social_DWA算法与传统DWA算法、FIDWA算法的路径规划仿真对比实验。结果表明:采用social_DWA算法所消耗的运动时间在场景1中较传统DWA和FIDWA算法分别缩短了1.53、0.43 s,在场景2中较传统DWA和FIDWA算法分别缩短了26.3、2.86 s;相较于传统DWA算法和FIDWA算法,social_DWA算法能保持有效的行人安全距离,并使运行轨迹更加合理。social_DWA算法在行人避让、环境适应能力等方面具有一定的优越性。

家庭医生服务能力自我评估调查问卷的开发与应用

目的:开发并应用家庭医生服务能力自我评估调查问卷。方法:选取我国8469名已经或即将从事家庭医生工作的基层卫生机构医生为研究对象,采用自行开发的家庭医生服务能力自我评估调查问卷对其进行调查。结果:基本医疗服务能力7项职责中,家庭医生具备承担常见病、多发病诊治职责能力的比例最高,为94.69%,社区康复服务和合理用药、用械职责能力的比例相对较高,分别为90.94%和90.75%。基层医生具备承担危急重症应急处置、医疗服务协同等职责能力的比例较低,分别为53.74%和56.68%。73.27%的家庭医生基本医疗服务能力得分≥4分,东、中、西部地区的家庭医生基本医疗服务能力得分≥4分者分别占73.72%、77.03%、67.49%。农村地区的家庭医生基本医疗服务能力得分≥4分者占74.62%,高于城市地区(70.63%)。全科医生基本医疗服务能力得分为7分者占比最高(27.48%),执业医师占比为19.99%。结论:本研究构建的家庭医生服务能力自我评估调查问卷可行性和可靠性较高,家庭医生服务能力自我评估调查问卷的应用有利于识别基层医生服务能力短板,能够反映家庭医生实际能力水平,符合基层工作实际情况,城乡家庭医生和不同类别的家庭医生基本医疗服务能力存在差别。

基于微信公众平台的自助服务系统在预防性健康检查的应用效果

目的分析评价基于微信公众平台的自助服务系统在从业人员预防性健康检查的应用效果。方法将2021年1—6月在红谷滩区预防医学门诊部进行预防性健康检查的4768名从业人员和2022年1—6月在该门诊部进行预防性健康检查的4544名从业人员分别作为对照组和观察组。对照组的健康检查通过线下预约、在纸质表登记体检结果和人工核验后反馈结果等传统流程进行,观察组使用基于微信平台的自助服务系统进行健康检查,通过线上分时段预约、身份证读取信息、电脑端录入体检结果、系统自动核验及微信反馈结果等流程进行。记录并比较两组健康检查各环节消耗时间、检查信息完整率和准确率以及服务满意度评分。结果和对照组相比,观察组在信息录入、排队等待、检查全过程和检查后结果反馈环节消耗的时间更少(P<0.05);观察组健康检查数据完整率和准确率均高于对照组(均P<0.05);观察组在结果获取及时、检查结果防伪性、流程公正及现场秩序的满意度评分均高于对照组(均P<0.05)。结论基于微信平台的自助服务系统有助于提高预防性健康检查工作效率和服务质量,提升从业人员对体检机构的满意度。

托幼机构管理者自主选学式培训的作用:以加拿大阿尔伯塔省为例

赋予教育工作者以专业发展自主权被认为是影响培训质量和教育质量的重要一环。在高质量发展背景下托幼机构管理者在参与专业培训时能否实现赋权增能至关重要。基于人力资源管理的AMO理论模型,加拿大阿尔伯塔省的托幼机构管理者自主选学式培训从能力提升、动机激发、机会保障三个维度保障了托幼机构管理者的培训自主权:常态化的培训模式与灵活多样的培训内容与形式,帮助托幼机构管理者提升了专业素养和自主选学能力;自我晋升制度与自我评估机制,帮助托幼机构管理者实现了专业发展的自我驱动力;AECEA专业协会为自主选学式培训提供了规范引领和组织保障,专项经费投入与管理保障了托幼机构管理者自主专业发展的必要条件。自主选学式培训对提升托幼机构管理者专业培训的积极性和有效性具有一定的借鉴意义。

医学生自我同一性地位与教育服务需求分析——以首都医科大学为例

为进一步了解医学生自我同一性发展水平和其成长中教育服务需求,促进医学育人工作的质量,通过使用《自我同一性地位》量表和《教育服务需求》问卷对首都医科大学1188名本科生进行调研,回收有效问卷1017份。结果显示,医学生自我同一性3个维度得分、自我同一性地位分布情况不同年级对比,差异无统计学意义(P>0.05)。各年级的“过去的危机”维度平均分均最低,且各年级的“同一性扩散-积极的延缓中间地位(D-M地位)”人数比例均为最高;52.51%医学生对学校开展关于自我探索主题的选修课表示有需求;影响医学生深入了解自己的因素首位为“原生家庭的教养方式”,占84.56%;其次为“朋友间的影响”,占75.12%;医学生希望提升自我认知水平的方式前三位分别是:“朋友间的互动交流”(占69.32%),“阅读书籍、文献”(占60.08%),“参加社会实践”(占50.93%)。医学生自我同一性发展存在的主要问题是积极的自我成长需求和自我探索受限之间的矛盾,需要教育工作者强化医学生自我意识的启发,注重理论与实践结合,提升教育服务方式和优化思政教育元素。

医疗服务志愿者胜任力自评现状与提升策略

目的了解医疗服务志愿者自身胜任力自评现状,针对存在问题提出应对策略。方法自行设计问卷,通过在线方式对志愿者群体进行调查。以全部志愿者总平均分为标准,将其分为高自我评价组与低自我评价组,比较两组胜任力自评的差异,并比较志愿者的不同特征对胜任力自评的影响。结果获有效问卷58份。全部志愿者总平均分(93.07±8.22)分,其中22人得分低于平均分,纳入低自我评价组,其余36人为高自我评价组。两组间在对其胜任力的总体评价和对专业能力、沟通能力、服务意识和执行力四个分项的自我评价得分上均存在显著差异。同时,性别、年龄、学历、职业、每年从事志愿服务时长以及从事志愿服务年限不同的志愿者间,对其胜任力整体评价或部分分项评价存在显著差异。结论建议从技能培训、实战演练、同侪互助和考核评估四方面入手,提升志愿者胜任力。通过完善激励机制,促进现有志愿者持续从事志愿服务,对于高学历、年轻志愿者,着重加强其执行力。

自强还是自嘲:智能语音助手幽默语言风格对用户失败容忍度的影响

幽默语言因其能够显著提升沟通效果,正逐渐成为智能对象设计中的重要考虑因素之一。然而以往学者在智能语音助手服务失败时,对于如何有效利用幽默语言风格来提升用户失败容忍度缺乏系统深入的探讨。本研究以智能语音助手服务补救为情境,基于良性冲突理论,通过三个实验,验证了幽默语言风格对用户失败容忍度的影响。结果表明:相较于自强型幽默,自嘲型幽默能够使用户产生更高的失败容忍度,同时揭示了幽默欣赏在其中的中介作用路径。此外,当智能语音助手扮演伙伴角色时,自强型幽默和自嘲型幽默对幽默欣赏及失败容忍度的影响无显著差异;而当其扮演仆人角色时,自嘲型幽默更能通过幽默欣赏影响用户的失败容忍度。

学生“三证”自助填报系统的设计与实现

针对传统“三证”人工管理中存在的不足,设计并实现学生“三证”自助填报系统。系统以Java为核心语言,通过后端链接MySQL数据库,进行数据的采集和存储,通过SSM作为主要架构来构建主体。前端主要用HTML等动态网页技术来完成界面的设计和开发。在真实的环境下,对开发完成的系统进行了测试,结果表明系统满足了设计目标,具有较好的稳定性和兼容性,用户可以使用该系统更简单、实时、高效的完成学生“三证”自助填报。