2018 IEEE 22nd International Enterprise Distributed Object Computing Conference (EDOC)最新文献_第3页

A Probabilistic Enterprise Architecture Model Evolution 一个概率企业架构模型演化

2018 IEEE 22nd International Enterprise Distributed Object Computing Conference (EDOC) Pub Date : 2018-10-01 DOI: 10.1109/EDOC.2018.00017

Simon Hacks, H. Lichter

{"title":"A Probabilistic Enterprise Architecture Model Evolution","authors":"Simon Hacks, H. Lichter","doi":"10.1109/EDOC.2018.00017","DOIUrl":"https://doi.org/10.1109/EDOC.2018.00017","url":null,"abstract":"Enterprise Architecture (EA) is a widely accepted means to ease the alignment of IS projects with enterprise-wide objectives. One central artifact of EA are EA models, which provide a holistic view on the organization and support EA's stakeholder to create added value. As EA collects its data from different sources, the data can be contradictory. This work contributes to existing research by proposing a novel approach to deal with contradictory data without solving the thereby caused conflicts. In order to achieve this objective, we refine the Predictive, Probabilistic Architecture Modeling Framework (P²AMF) introduced by Johnson et al., which already incorporates a way to represent uncertainty regarding the existence of modelled entities. To make our technique usable, we generalize P²AMF from its UML/OCL notation to a graph presentation in order to apply it to EA models notated in arbitrary notations like ArchiMate. Furthermore, we add alternative scenarios in different versions along a time series to meet the requirements of a distributed EA evolution. To show the applicability of our approach, we developed a proof of concept prototype by implementing the proposed calculations and guidelines on a Neo4j graph database. Last, we argue that our approach meets the stated requirements of a distributed EA evolution.","PeriodicalId":6544,"journal":{"name":"2018 IEEE 22nd International Enterprise Distributed Object Computing Conference (EDOC)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77299604","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 12

A Language and Repository for Cyber Security of Smart Grids 智能电网网络安全语言与知识库

2018 IEEE 22nd International Enterprise Distributed Object Computing Conference (EDOC) Pub Date : 2018-10-01 DOI: 10.1109/EDOC.2018.00029

Yuning Jiang, M. Jeusfeld, Yacine Atif, Jianguo Ding, Christoffer Brax, Eva Nero

引用次数: 8

Ontological Analysis and Redesign of Risk Modeling in ArchiMate ArchiMate风险模型的本体分析与再设计

2018 IEEE 22nd International Enterprise Distributed Object Computing Conference (EDOC) Pub Date : 2018-10-01 DOI: 10.1109/EDOC.2018.00028

T. P. Sales, J. P. Almeida, S. Santini, F. Baião, G. Guizzardi

引用次数: 15

EDOC 2018 Organizing Committee EDOC 2018组委会

2018 IEEE 22nd International Enterprise Distributed Object Computing Conference (EDOC) Pub Date : 2018-10-01 DOI: 10.1109/edoc.2018.00007

Robert Lagerström, Pontus Johnson, S. Nurcan

引用次数: 0

EDOC 2018 Program Committee EDOC 2018项目委员会

2018 IEEE 22nd International Enterprise Distributed Object Computing Conference (EDOC) Pub Date : 2018-10-01 DOI: 10.1109/edoc.2018.00008

J. Aagedal, Equatex, J. P. Almeida

{"title":"EDOC 2018 Program Committee","authors":"J. Aagedal, Equatex, J. P. Almeida","doi":"10.1109/edoc.2018.00008","DOIUrl":"https://doi.org/10.1109/edoc.2018.00008","url":null,"abstract":"Jan Øyvind Aagedal, Equatex Joao Paulo Almeida, Federal University of Espirito Santo Ebrahim Bagheri, Ryerson University Amin Beheshti, Macquarie University Ilia Bider, Stockholm University/IbisSoft Marco Brambilla, Politecnico di Milano Ruth Breu, Research Group Quality Engineering Florian Daniel, Politecnico di Milano Chiara Di Francescomarino, Fondazione Bruno Kessler-IRST Remco Dijkman, Eindhoven University of Technology Giuseppe Di Lucca, University of Sannio Schahram Dustdar, Vienna University of Technology Ricardo A. Falbo, Federal University of Espirito Santo Zaiwen Feng, University of South Australia Luis Ferreira Pires, University of Twente Ulrik Franke, RISE SICS—Swedish Institute of Computer Science Aditya Ghose, University of Wollongong Claude Godart, Loria Aniruddha Gokhale, Vanderbilt University Guido Governatori, CSIRO Georg Grossmann, University of South Australia Giancarlo Guizzardi, Federal University of Espirito Santo Jens Gulden, University of Duisburg-Essen Armin Haller, Australian National University Jun Han, Swinburne University of Technology Maria-Eugenia Iacob, University of Twente Dimka Karastoyanova, University of Groningen Alexander Knapp, Universität Augsburg Julius Köpke, Alpen-Adria-Universität Klagenfurt Institute for Informatics Systems Vinay Kulkarni, Tata Consultancy Services Research Lea Kutvonen, University of Helsinki Lam Son Lê, HCMC Tech Henrik Leopold, Vrije Universiteit Amsterdam Frank Leymann, University of Stuttgart Peter F. Linington, University of Kent Florian Matthes, Technical University of Munich","PeriodicalId":6544,"journal":{"name":"2018 IEEE 22nd International Enterprise Distributed Object Computing Conference (EDOC)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89571222","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Quantitative Effects of Advanced Resource Constructs in Business Process Simulation 高级资源构造在业务流程模拟中的定量效应

2018 IEEE 22nd International Enterprise Distributed Object Computing Conference (EDOC) Pub Date : 2018-10-01 DOI: 10.1109/EDOC.2018.00024

Sander P. F. Peters, R. Dijkman, P. Grefen

{"title":"Quantitative Effects of Advanced Resource Constructs in Business Process Simulation","authors":"Sander P. F. Peters, R. Dijkman, P. Grefen","doi":"10.1109/EDOC.2018.00024","DOIUrl":"https://doi.org/10.1109/EDOC.2018.00024","url":null,"abstract":"Simulation is often used to provide quantitative predictions on the performance of business processes. However, the current available business process simulation engines only support basic resource constructs and even these are sometimes lacking. This leads to simulated performance metrics that can deviate significantly from the real process performance. This paper provides an overview of the quantitative effects of incorporating these advanced resource constructs in business process simulation. Experiments are conducted to assess whether there are significant differences between the effects of using basic resource constructs and using their advanced counterparts. The main conclusions are: that the allocation strategy deployed by the resources is of significant influence on the performance of the process; that the ability to assign resources to multiple roles has a significant influence; and that simulation replications are absolutely necessary to produce reliable simulation results. These insights can be used by researchers and practitioners to understand the validity of the results of their simulation studies and as a direction for future research.","PeriodicalId":6544,"journal":{"name":"2018 IEEE 22nd International Enterprise Distributed Object Computing Conference (EDOC)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74669957","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 5

FEDSA: A Data Federation Platform for Law Enforcement Management 联邦执法管理数据联盟平台

2018 IEEE 22nd International Enterprise Distributed Object Computing Conference (EDOC) Pub Date : 2018-10-01 DOI: 10.1109/EDOC.2018.00013

Wenhao Li, Zaiwen Feng, W. Mayer, G. Grossmann, A. Kashefi, M. Stumptner

引用次数: 3

Managing Product Lines Variability in Rich Internet Applications 管理富互联网应用程序中的产品线可变性

2018 IEEE 22nd International Enterprise Distributed Object Computing Conference (EDOC) Pub Date : 2018-10-01 DOI: 10.1109/EDOC.2018.00034

Mohsen Asadi, M. Daliri, Navid Alipour

{"title":"Managing Product Lines Variability in Rich Internet Applications","authors":"Mohsen Asadi, M. Daliri, Navid Alipour","doi":"10.1109/EDOC.2018.00034","DOIUrl":"https://doi.org/10.1109/EDOC.2018.00034","url":null,"abstract":"Rich Internet Applications refers to Web applications resembling desktop solutions with sophisticated user interactions, client-side processing, and asynchronous communications. Rich Internet applications have been evolved from traditional multi-page Web applications to single page applications which handle users' interactions without the need of full-refresh at each interaction. Although many techniques, methodologies, and technologies have been proposed in the rich Internet applications literature, the need for managing variability has not yet been conveniently addressed in this domain. According to software product lines research and practice, handling variability and commonality plays an important role in decreasing the development time and improving the quality of nal products. To this end, in this paper, we aim at employing the variability management techniques in the domain of rich Internet applications. We propose a variability modeling technique based on well-known feature modeling approach and provide a method for annotating rich Internet applications with variability and deriving final application based the given con guration. The proposed method is implemented in a tool named Varion which can be used along with existing rich Internet application tools and approaches. We applied the proposed approach on Angular, a well-known Model-View-Controller framework for developing rich Internet applications.","PeriodicalId":6544,"journal":{"name":"2018 IEEE 22nd International Enterprise Distributed Object Computing Conference (EDOC)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85264964","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

Real-Time Data Mining for Event Streams 事件流的实时数据挖掘

2018 IEEE 22nd International Enterprise Distributed Object Computing Conference (EDOC) Pub Date : 2018-10-01 DOI: 10.1109/EDOC.2018.00025

Massiva Roudjane, D. Rebaine, R. Khoury, Sylvain Hallé

引用次数: 6

Formalizing Application Integration Patterns 形式化应用程序集成模式

2018 IEEE 22nd International Enterprise Distributed Object Computing Conference (EDOC) Pub Date : 2018-10-01 DOI: 10.1109/EDOC.2018.00012

Daniel Ritter, S. Rinderle-Ma, M. Montali, Andrey Rivkin, Aman Sinha

引用次数: 11