A service governance mechanism based on process mining for cloud-based applications

ABSTRACT

With the widely use of cloud computing in enterprise information systems, service governance becomes critical for an enterprise to adapt to a changing business environment. In order to provide a dynamic strategy for continuous service governance, in this paper a comprehensive service analysis solution is proposed to address both design time and run-time requirements for cloud applications. First, a process-centric Semantic Scene Model is composed to combines static business requirements with dynamic execution information. Then service analysis is conducted referring both to the business process mining results from event logs and the Semantic Scene Model given by business model designers. Service governance strategies are generated from the service analysis results and are performed to qualitatively classify the Quality of Service (QoS) of the services. Finally the approach is verified with a transportation logistics service application in a cloud platform. The result shows that our method can get continuous service governance through combining business processes with run-time service analysis.     

Integrating decomposition approaches for the analysis of temporal changes in economic structure: an application to Chicago's economy from 1980 to 2000

This paper presents an attempt to integrate two flow decomposition methods to analyse temporal changes in a region's economic structure. The two methods of structural analysis are push–pull decomposition analysis and structural Q-analysis. Push–pull analysis presents a quasi-optimization decomposition of a set of matrices with actual intersectoral economic flows into a weighted set of matrices, while structural Q-analysis provides a form in which the structure of these decomposed flows can be considered. The paper provides an expository application to Chicago's economic structure over the period of 1980 to 2000, to reveal a complementary perspective of hollowing-out the production process in the Chicago economy that was identified in previous studies.     

城市化进程对基础设施投资的需求量分析

在分析基础设施投资需求构成的基础上,建立了相应的矩阵模型.并在对近十余年全国城镇人口和基础设施投资的数据进行统计分析和选取的基础上,按照一定的计算流程,通过拟合相关关系式、对原有基础设施投资(I0)进行估计、代入矩阵模型估算出未来的基础设施投资需求,从中得出了一些有价值的推论以供制定投资计划的决策者参考.     

城市地下空间开发利用容量评估指标体系的研究

地下空间是城市开发的重要自然资源,城市地下空间开发利用容量评估的目的旨在把握城市所具有的地下空间可开发利用的总量和潜力,建立科学的评估指标体系是地下空间开发利用容量评估的基础.本文分析了城市地下空间开发利用容量的主要影响因素,提出了城市地下空间开发利用容量评估指标体系构建的原则.基于层次分析法建立了城市地下空间开发利用容量评估的层次结构模型,依据该层次结构模型构造了各层次判断矩阵,并进行了层次单排序、层次总排序及其一致性检验.经研究分析得到:地面空间类型、受已开发地下空间的影响程度、地震烈度、滑坡及崩塌、对工程有影响的地下水层数、受影响的地下水赋存类型及活断层等是城市地下空间开发利用容量评估的主要指标.     

企业BPR实施过程中的风险分析

企业实施业务流程重组(BPR)是一个南风险高收益的项目。针对目前国内企业BPR风险性高,成功率低的情况,我 们有必要对实施BPR过程中的各种风险因素进行分析研究,并找出解决方案,以期对我国企业顺利进行企业流程再造有所帮 助。     

基于物联网技术的“中国邮政”速递物流业务流程优化研究综述

首先对中国邮政速递物流公司的研究现状进行了研究,接着探讨了业务流程优化和重组的相关理论和方法,最后对物联网技术在业务流程优化和重组中的应用进行了研究。为基于物联网技术的中国邮政速递物流业务流程优化研究提供了理论和方法基础。     

基于Petri网的冷链配送流程仿真优化研究

应用Petri网理论．对冷链配送流程进行优化研究。根据某企业目前的配送流程,利用Petri网理论进行建模。之后运用ExSpect软件对模型进行了仿真。得到仿真结果后,对结果进行分析,并基于效率提高和流程重构两种优化措施对流程进行改进。最后．再次利用软件对改进后的流程进行仿真,说明改进措施的有效性,并增加了随机性仿真,加强仿真结果的可信度。     

Semiparametric time series models driven by latent factor

We introduce a class of semiparametric time series models (SemiParTS) driven by a latent factor process. The proposed SemiParTS class is flexible because, given the latent process, only the conditional mean and variance of the time series are specified. These are the primary features of SemiParTS: (i) no parametric form is assumed for the conditional distribution of the time series given the latent process; (ii) it is suitable for a wide range of data: non-negative, count, bounded, binary, and real-valued time series; (iii) it does not constrain the dispersion parameter to be known. The quasi-likelihood inference is employed in order to estimate the parameters in the mean function. Here, we derive explicit expressions for the marginal moments and for the autocorrelation function of the time series process so that a method of moments can be employed to estimate the dispersion parameter and also the parameters related to the latent process. Simulated results that aim to check the proposed estimation procedure are presented. Forecasting procedures are proposed and evaluated in simulated and real data. Analyses of the number of admissions in a hospital due to asthma and a total insolation time series illustrate the potential for practical situations that involve the proposed models.     

浅析工业设备支撑体系方案优化的思路

设备承重支撑体系是一种特殊的结构形式,在我国工业项目中的应用范围越来越广,设备支撑结构体系类似于民建钢框架结构、钢框架-支撑结构体系。重型设备的支撑点主要集中在结构体系的局部楼层,导致上下楼层质量、刚度比例偏差较大,设备布置偏心,不满足抗震设防要求[1]。随着传统工业的工艺技术不断革新、新型工艺技术的发展、重型设备的出现,优化钢结构承重支撑体系势在必行。在满足承载能力和使用要求的前提下,可打破常规规则与相对不规则结构形式间的界限。依据结构专业设计条件[2]、操作楼层和承重楼层分别设计的优化思路,对降低钢材用量、节约项目成本具有现实意义。鉴于此,论文主要对现阶段工业承重体系的优缺点进行分析,提出其承重钢结构体系优化的构想和措施。     

基于AHP-FCE模型的复杂产品系统项目风险评估研究

针对复杂产品系统(CoPS)的特点,在对CoPS项目风险识别的基础上,利用层次分析(AHP)法建立了CoPS项目风险的评价指标体系,确定了风险因素的权重;并引入模糊综合评价(FCE)的基本思想和方法,构建了CoPS项目风险的模糊综合评价模型。并且结合案例介绍了该模型的应用过程。