在保证正确性的前提下,负责任地组成和优化集成流程

IF 3 2区 计算机科学 Q2 COMPUTER SCIENCE, INFORMATION SYSTEMS
Daniel Ritter , Fredrik Nordvall Forsberg , Stefanie Rinderle-Ma
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引用次数: 0

摘要

企业应用集成涉及异构应用的连接问题,是当前内部部署、云和设备集成方案的核心。对于集成方案来说,从结构上正确地将模式组成流程并改进集成流程至关重要。为了实现这一目标,我们根据集成模式的特点对其组合进行了形式化,并介绍了有助于降低模型复杂性的优化策略,以及利用设计时间技术提高流程执行效率的方法。使用定时 DB 网(Petri 网的一种改进)的形式主义,我们将控制流和数据流、事务数据存储、补偿和异常处理等集成逻辑特征以及重复出现的解决方案中的时间方面作为单独的集成模式进行建模。然后,我们提出了一种使用图重写的优化策略,并证明了我们所考虑的优化策略既能保持结构正确性,又能保持功能正确性。我们在一个包含 900 多个集成流程的实际模式组合目录中对改进进行了评估,并在基于其中两个流程的案例研究中说明了正确性属性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Responsible composition and optimization of integration processes under correctness preserving guarantees

Enterprise Application Integration deals with the problem of connecting heterogeneous applications, and is the centerpiece of current on-premise, cloud and device integration scenarios. For integration scenarios, structurally correct composition of patterns into processes and improvements of integration processes are crucial. In order to achieve this, we formalize compositions of integration patterns based on their characteristics, and describe optimization strategies that help to reduce the model complexity, and improve the process execution efficiency using design time techniques. Using the formalism of timed DB-nets – a refinement of Petri nets – we model integration logic features such as control- and data flow, transactional data storage, compensation and exception handling, and time aspects that are present in reoccurring solutions as separate integration patterns. We then propose a realization of optimization strategies using graph rewriting, and prove that the optimizations we consider preserve both structural and functional correctness. We evaluate the improvements on a real-world catalog of pattern compositions, containing over 900 integration processes, and illustrate the correctness properties in case studies based on two of these processes.

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来源期刊
Information Systems
Information Systems 工程技术-计算机:信息系统
CiteScore
9.40
自引率
2.70%
发文量
112
审稿时长
53 days
期刊介绍: Information systems are the software and hardware systems that support data-intensive applications. The journal Information Systems publishes articles concerning the design and implementation of languages, data models, process models, algorithms, software and hardware for information systems. Subject areas include data management issues as presented in the principal international database conferences (e.g., ACM SIGMOD/PODS, VLDB, ICDE and ICDT/EDBT) as well as data-related issues from the fields of data mining/machine learning, information retrieval coordinated with structured data, internet and cloud data management, business process management, web semantics, visual and audio information systems, scientific computing, and data science. Implementation papers having to do with massively parallel data management, fault tolerance in practice, and special purpose hardware for data-intensive systems are also welcome. Manuscripts from application domains, such as urban informatics, social and natural science, and Internet of Things, are also welcome. All papers should highlight innovative solutions to data management problems such as new data models, performance enhancements, and show how those innovations contribute to the goals of the application.
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