2015 IEEE 24th International Conference on Enabling Technologies: Infrastructure for Collaborative Enterprises最新文献_第2页

A Semantic Similarity Measure for Conceptual Web Services Classification 概念Web服务分类的语义相似度度量

2015 IEEE 24th International Conference on Enabling Technologies: Infrastructure for Collaborative Enterprises Pub Date : 2015-06-15 DOI: 10.1109/WETICE.2015.48

Ahmed Abid, Nizar Messai, M. Rouached, T. Devogele, Mohamed Abid

引用次数: 5

Modeling Change Patterns for Impact and Conflict Analysis in Event-Driven Architectures 为事件驱动架构中的影响和冲突分析建模变更模式

2015 IEEE 24th International Conference on Enabling Technologies: Infrastructure for Collaborative Enterprises Pub Date : 2015-06-15 DOI: 10.1109/WETICE.2015.13

Simon Tragatschnig, Uwe Zdun

{"title":"Modeling Change Patterns for Impact and Conflict Analysis in Event-Driven Architectures","authors":"Simon Tragatschnig, Uwe Zdun","doi":"10.1109/WETICE.2015.13","DOIUrl":"https://doi.org/10.1109/WETICE.2015.13","url":null,"abstract":"In distributed event-driven architectures, components are composed in a highly decoupled way, facilitating high flexibility, scalability and concurrency of distributed systems. However, the intrinsic loose coupling of its components make relations hard to identify making it challenging to analyze, maintain, and evolve an event-based architecture. For understanding the evolution of an event-based architecture, we require knowledge about its components' dependencies, which is often hard to gain due to the absence of explicit information about these dependencies. Furthermore, assisting techniques for analyzing the impacts of certain changes are missing, hindering the implementation of changes in event-driven architectures. We present in this paper a novel approach providing models to describe changes in event-based architectures on different levels of abstraction. The explicit definition of a change enables various types of analysis to increase the quality of the evolving event based systems architecture, like invalid access analysis, dangling actors analysis, change impact analysis, and dead actor analysis.","PeriodicalId":256616,"journal":{"name":"2015 IEEE 24th International Conference on Enabling Technologies: Infrastructure for Collaborative Enterprises","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114557649","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: 8

A Mechanism for the Causal Ordered Set Representation in Large-Scale Distributed Systems 大规模分布式系统中因果有序集表示的一种机制

2015 IEEE 24th International Conference on Enabling Technologies: Infrastructure for Collaborative Enterprises Pub Date : 2015-06-15 DOI: 10.1109/WETICE.2015.20

Houda Khlif, Hatem Hadj Kacem, S. Hernández, A. Kacem

{"title":"A Mechanism for the Causal Ordered Set Representation in Large-Scale Distributed Systems","authors":"Houda Khlif, Hatem Hadj Kacem, S. Hernández, A. Kacem","doi":"10.1109/WETICE.2015.20","DOIUrl":"https://doi.org/10.1109/WETICE.2015.20","url":null,"abstract":"Distributed systems have undergone a very fast evolution in the last years. Large-scale distributed systems have become an integral part of everyday life with the development of new large-scale applications, consisting of thousands of computers and supporting millions of users. Examples include global Internet services, cloud computing systems, \"big data\" analytic platforms, peer-to-peer systems, wireless sensor networks and so on. The recent research addresses questions related to the way of how to design, build, operate and maintain large-scale distributed systems. Another question associated to it is how to represent and ensure causal dependencies in such systems in a optimal way. Causal dependencies have been established according to the Happened-Before Relation (HBR), which was introduced by Lamport. The HBR establishes a strict partial order among the events in a system, and therefore, one main problem linked to it is the combinatorial state explosion. To attack this problem the Causal Order Set Abstraction (CAOS) theory arises. CAOS attains the optimal representation at the set level of the causal dependencies of events in a distributed system. In this paper, we propose a mechanism based on the HBR and the Immediate Dependency Relation to automatically model any large-scale distributed system execution into the CAOS form. The resultant CAOS model, expressed in the form of a graph, drastically reduce the state-space of a system. In general, the resultant CAOS graph can be used for different purposes, such as for the design of more efficient algorithms, validation, verification, and/or the debugging of the existing ones, among others. In this paper, we illustrate how the CAOS graph can be used for validation purposes. The mechanism is implemented in C++. The results of its execution shows the viability to support large-scale systems.","PeriodicalId":256616,"journal":{"name":"2015 IEEE 24th International Conference on Enabling Technologies: Infrastructure for Collaborative Enterprises","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123554292","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: 3

A Decision-Oriented Approach Supporting Enterprise Architecture Evolution 支持企业架构演进的面向决策的方法

2015 IEEE 24th International Conference on Enabling Technologies: Infrastructure for Collaborative Enterprises Pub Date : 2015-06-15 DOI: 10.1109/WETICE.2015.33

Khaled Gaaloul, Sérgio Guerreiro

引用次数: 8

MAROQ: A Resource Allocation Model Driven through Quality of Experience MAROQ:由体验质量驱动的资源分配模型

2015 IEEE 24th International Conference on Enabling Technologies: Infrastructure for Collaborative Enterprises Pub Date : 2015-06-15 DOI: 10.1504/IJGUC.2017.10006831

A. D'Amato, M. Dantas, D. D. J. D. Macedo

引用次数: 2

Web2Touch 2015 Track Report: Modeling the Collaborative Web Knowledge Web2Touch 2015跟踪报告:协作网络知识建模

2015 IEEE 24th International Conference on Enabling Technologies: Infrastructure for Collaborative Enterprises Pub Date : 2015-06-15 DOI: 10.1109/WETICE.2015.45

O. Nabuco, R. Bonacin, M. Fugini

引用次数: 1

Expressivity and Accuracy of By-Example Structured Queries on Wikipedia 维基百科上按例结构化查询的表达性和准确性

2015 IEEE 24th International Conference on Enabling Technologies: Infrastructure for Collaborative Enterprises Pub Date : 2015-06-15 DOI: 10.1109/WETICE.2015.15

M. Atzori, C. Zaniolo

引用次数: 8

Analyzing Social Web Services' Capabilities 分析社交网络服务的能力

2015 IEEE 24th International Conference on Enabling Technologies: Infrastructure for Collaborative Enterprises Pub Date : 2015-06-15 DOI: 10.1109/WETICE.2015.11

Z. Maamar, H. Yahyaoui, A. Mourad, M. Sellami

引用次数: 0

Engineering Self-Adaptive Systems with the Role-Based Architecture of Helena 基于海伦娜角色架构的工程自适应系统

2015 IEEE 24th International Conference on Enabling Technologies: Infrastructure for Collaborative Enterprises Pub Date : 2015-06-15 DOI: 10.1109/WETICE.2015.32

Annabelle Klarl

引用次数: 10

Cloud Service Matchmaking Using Constraint Programming 使用约束编程的云服务配对

2015 IEEE 24th International Conference on Enabling Technologies: Infrastructure for Collaborative Enterprises Pub Date : 2015-06-15 DOI: 10.1109/WETICE.2015.44

Begüm Ilke Zilci, Mathias Slawik, Axel Küpper

引用次数: 12