2019 IEEE 23rd International Enterprise Distributed Object Computing Workshop (EDOCW)最新文献_第3页

An Agent-Based Process Mining Architecture for Emergent Behavior Analysis 一种基于agent的突发行为分析过程挖掘体系结构

2019 IEEE 23rd International Enterprise Distributed Object Computing Workshop (EDOCW) Pub Date : 2019-10-01 DOI: 10.1109/EDOCW.2019.00022

R. Bemthuis, M. Koot, M. Mes, F. Bukhsh, M. Iacob, N. Meratnia

{"title":"An Agent-Based Process Mining Architecture for Emergent Behavior Analysis","authors":"R. Bemthuis, M. Koot, M. Mes, F. Bukhsh, M. Iacob, N. Meratnia","doi":"10.1109/EDOCW.2019.00022","DOIUrl":"https://doi.org/10.1109/EDOCW.2019.00022","url":null,"abstract":"Information systems leave a traceable digital footprint whenever an action is executed. Business process modelers capture these digital traces to understand the behavior of a system, and to extract actual run-time models of those business processes. Despite the omnipresence of such traces, most organizations face substantial differences between the process specifications and the actual run-time behavior. Analyzing and implementing the results of systems that model business processes tend, however, to be difficult due to the inherent complexity of the models. Moreover, the observed reality in the form of lower-level real-time events, as recorded in event logs, is seldom solely explainable by higher-level process models. In this paper, we propose an architecture to model system-wide behavior by combining process mining with a multi-agent system. Digital traces, in the form of event logs, are used to iteratively mine process models from which agents can learn. The approach is initially applied to a case study of a simplified job-shop factory in which automated guided vehicles (AGVs) carry out transportation tasks. Numerical experiments show that the workflow of a process mining model can be used to enhance the agent-based system, particularly, in analyzing bottlenecks and improving decision-making.","PeriodicalId":246655,"journal":{"name":"2019 IEEE 23rd International Enterprise Distributed Object Computing Workshop (EDOCW)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122214358","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: 15

Quantifying Enterprise Coherence 量化企业一致性

2019 IEEE 23rd International Enterprise Distributed Object Computing Workshop (EDOCW) Pub Date : 2019-10-01 DOI: 10.1109/EDOCW.2019.00039

Joost Bekel

引用次数: 1

EDOC 2019 Demonstration Track EDOC 2019演示赛道

2019 IEEE 23rd International Enterprise Distributed Object Computing Workshop (EDOCW) Pub Date : 2019-10-01 DOI: 10.1109/edocw.2019.00010

U. Franke

引用次数: 0

EDOC 2019 Doctoral Consortium Organizers EDOC 2019博士联盟组织者

2019 IEEE 23rd International Enterprise Distributed Object Computing Workshop (EDOCW) Pub Date : 2019-10-01 DOI: 10.1109/edocw.2019.00014

Camille Salinesi

引用次数: 0

Interactive Genetic Algorithms in Product-Service Clustering Design: Early Results and Roadmap 产品-服务聚类设计中的交互式遗传算法:早期结果和路线图

2019 IEEE 23rd International Enterprise Distributed Object Computing Workshop (EDOCW) Pub Date : 2019-10-01 DOI: 10.1109/EDOCW.2019.00035

D. Tamburri, W. Heuvel

引用次数: 0

A System for Scalable Decentralized Random Number Generation 一种可扩展分散随机数生成系统

2019 IEEE 23rd International Enterprise Distributed Object Computing Workshop (EDOCW) Pub Date : 2019-10-01 DOI: 10.1109/EDOCW.2019.00028

Thanh Nguyen-Van, TienTrien Le, Tuan Nguyen-Anh, Minh-Phuoc Nguyen-Ho, Tuong Nguyen-Van, Minh-Quoc Le-Tran, Quang Nhat Le, Harry Pham, Khuong Nguyen-An

{"title":"A System for Scalable Decentralized Random Number Generation","authors":"Thanh Nguyen-Van, TienTrien Le, Tuan Nguyen-Anh, Minh-Phuoc Nguyen-Ho, Tuong Nguyen-Van, Minh-Quoc Le-Tran, Quang Nhat Le, Harry Pham, Khuong Nguyen-An","doi":"10.1109/EDOCW.2019.00028","DOIUrl":"https://doi.org/10.1109/EDOCW.2019.00028","url":null,"abstract":"Generating public randomness has been significantly demanding and also challenging, especially after the introduction of the Blockchain Technology. Lotteries, smart contracts, and random audits are examples where the reliability of the randomness source is a vital factor. We demonstrate a system of random number generation service for generating fair, tamper-resistant, and verifiable random numbers. Our protocol together with this system is an R&D project aiming at providing a decentralized solution to random number generation by leveraging the blockchain technology along with long-lasting cryptographic primitives including homomorphic encryption, verifiable random functions. The system decentralizes the process of generating random numbers by combining each party's favored value to obtain the final random numbers. Our novel idea is to force each party to encrypt his contribution before making it public. With the help of homomorphic encryption, all encrypted contribution can be combined without performing any decryption. The solution has achieved the properties of unpredictability, tamper-resistance, and public-verifiability. In addition, it only offers a linear overall complexity with respect to the number of parties on the network, which permits great scalability.","PeriodicalId":246655,"journal":{"name":"2019 IEEE 23rd International Enterprise Distributed Object Computing Workshop (EDOCW)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132170366","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

Message from the EDOC 2019 Doctoral Consortium Chairs EDOC 2019博士联盟主席致辞

2019 IEEE 23rd International Enterprise Distributed Object Computing Workshop (EDOCW) Pub Date : 2019-10-01 DOI: 10.1109/edocw.2019.00009

Edocw

{"title":"Message from the EDOC 2019 Doctoral Consortium Chairs","authors":"Edocw","doi":"10.1109/edocw.2019.00009","DOIUrl":"https://doi.org/10.1109/edocw.2019.00009","url":null,"abstract":"The Doctoral Consortium (DC) is an important satellite event of the EDOC conference. The DC is a forum of exchange organized to encourage Ph.D. students to present their early work, exchange with other researchers in their fields. A panel of senior researchers provides feedback and guidance on the work and advice on managing research projects. Submissions from Ph.D. students at an early stage of their research project, i.e., typically in their first or second year, are encouraged. A submission to the DC should clearly describe motivation, goal, expected results, and the research approach taken. Participants will be expected to actively discuss and argue about their work by reading each other’s work prior to the DC, giving a presentation and debating together, and listening to senior researchers’ feedback. This year the EDOC DC program consists of seven submissions. These submissions have been selected based on their fit with the topics of the EDOC conference and based on the results of the reviewing. Each submission was reviewed by at least two members of the Program Committee. The following criteria were applied: technical quality, clarity, adequacy of the problem statement, related work, self-contained and feasible method description, realistic expected results, and sensible evaluation plan. We hope that we have created an exciting Doctoral Consortium program and that it will be an engaging and fruitful experience for all participants.","PeriodicalId":246655,"journal":{"name":"2019 IEEE 23rd International Enterprise Distributed Object Computing Workshop (EDOCW)","volume":"170 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114681439","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

A Novel Approach to Modeling Enterprise Services Leveraging Object Cloning and Multilevel Classification 利用对象克隆和多层次分类的企业服务建模新方法

2019 IEEE 23rd International Enterprise Distributed Object Computing Workshop (EDOCW) Pub Date : 2019-10-01 DOI: 10.1109/EDOCW.2019.00036

Lam-Son Lê, Thai-Minh Truong, A. Wegmann

{"title":"A Novel Approach to Modeling Enterprise Services Leveraging Object Cloning and Multilevel Classification","authors":"Lam-Son Lê, Thai-Minh Truong, A. Wegmann","doi":"10.1109/EDOCW.2019.00036","DOIUrl":"https://doi.org/10.1109/EDOCW.2019.00036","url":null,"abstract":"Object-oriented modeling is concerned with capturing common properties of objects. The dominant thinking in this realm is to classify objects that share certain properties into what is called a class, which in turn enables us to instantiate additional objects. Deep modeling takes a step further by introducing the notion of clabject that might be instantiated multiple times until its instantiation potency runs out. This initiative has gained a lot of momentum of late, primarily due to the inadequacy of the classical mechanics of two-level object instantiation. There exists a less familiar way of reasoning in object-orientation that takes its root from the prototype theory. We believe that they co-exist as two sides of the same coin. Unfortunately, prototype-based modeling still stays on the sidelines in the mainstream of conceptual modeling and related areas (e.g., enterprise modeling). In this paper, we argue that the two methods actually complement each other. We propose a hybrid modeling suite that allows for both instantiation and cloning in enterprise modeling. We formally state that a clabject not only features the so-called potency (i.e., for how many levels this clabject might further be classified) but also carries the notion of characteristics (i.e., the extent to which this clabject resembles those being represented). We demonstrate our novel ways of modeling for capturing business processes in a service-oriented enterprise architecture.","PeriodicalId":246655,"journal":{"name":"2019 IEEE 23rd International Enterprise Distributed Object Computing Workshop (EDOCW)","volume":"60 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130709541","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: 1

Towards a Probabilistic Approach for Better Change Management in BPM Systems 面向BPM系统中更好的变更管理的概率方法

2019 IEEE 23rd International Enterprise Distributed Object Computing Workshop (EDOCW) Pub Date : 2019-10-01 DOI: 10.1109/EDOCW.2019.00040

C. Cherif

引用次数: 0

Applying Dynamic Bayesian Networks for Automated Modeling in ArchiMate: A Realization Study 动态贝叶斯网络在ArchiMate自动化建模中的应用研究

2019 IEEE 23rd International Enterprise Distributed Object Computing Workshop (EDOCW) Pub Date : 2019-10-01 DOI: 10.1109/EDOCW.2019.00017

Björn Bebensee, Simon Hacks

引用次数: 8