Model-driven data-intensive Enterprise Information Systems

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ASPECTS REGARDING THE INTEGRATION OF THE MODERN INFORMATION SYSTEMS

Developing an information system integration strategy, at enterprise level is one of the most difficult issues that the information systems managers must solve, within the present conditions. When settling the integration strategy, two aspects must mainly be taken into account: assuring a complete integration solution of the information systems and building an integration infrastructure of the applications. The present paper aims at presenting few aspects regarding the integration of the information systems at organizational level and describing a specifically developed IBM architecture.information systems integration, software modelling, Model Driven Architecture (MDA), Model Driven Development (MDD)

Building a high-level architecture federated interoperable framework from legacy information systems

International audienceThis paper aims at improving the re-implementation of existing information systems when they are called to be involved in a system of systems, i.e. a federation of enterprise information systems that interoperate. The idea is reusing the local experiences coming from the previous development of the existing information system with the process of model discovery. To avoid redeveloping the entire system when the enterprise needs to cooperate with others, this approach proposes to create local interfaces to code and decode information. The interfaces are instantiated by using models discovered. The interfaces are developed in accordance with the high-level architecture (HLA) standard that proposes message interoperability and synchronisation mechanisms among distributed systems. First, this paper recalls the strong points of model-driven architecture (MDA)/architecture-driven modernisation methodologies for model transformation from conceptual level to implementation and the HLA standard. Then, a MDA and HLA framework is proposed to implement distributed enterprise components from the conceptual level through a federated enterprise interoperability approach. In addition, a model reversal methodology is developed under the framework to guide the re-implementation of legacy information systems to achieve desired interoperability with other systems. To extend the scope of the approach, implemented Web services are combined with HLA in order to facilitate the use of HLA in large distributed execution. This paper ends with an implementation example for validating the approach

Modularising the complex meta-models in enterprise systems using conceptual structures

The development of meta-models in Enterprise Modelling, Enterprise Engineering, and Enterprise Architecture enables an enterprise to add value and meet its obligations to its stakeholders. This value is however undermined by the complexity in the meta-models which have become difficult to visualise thus deterring the human-driven process. These experiences have driven the development of layers and levels in the modular meta-model. Conceptual Structures (CS), described as “Information Processing in Mind and Machine”, align the way computers work with how humans think. Using the Enterprise Information Meta-model Architecture (EIMA) as an exemplar, two forms of CS known as Conceptual Graphs (CGs) and Formal Concept Analysis (FCA) are brought together through the CGtoFCA algorithm, thereby mathematically evaluating the effectiveness of the layers and levels in these meta-models. The work reveals the useful contribution that this approach brings in actualising the modularising of complex meta-models in enterprise systems using conceptual structures

Conceptual data systems architecture principles for information systems

Information systems alignment with enterprise evolution affects the performance of enterprises. The systems conceptual and data quality, development time and sustainable life cycle management, are issues for enterprise competitiveness. The ability to directly generate enterprise information systems from models has been thought of as a solution to improve on these issues. Model-driven systems have been a research topic for decades. Fundamental principles for a proven model-driven information systems architecture are outlined in this article. Architectural foundation is a separation of user communities conceptual domain from the information technical domain. The users domain is modeled as an information system model in three layers, conceptual data logic model, interface model and user community model. The technical domain is a platform, allowing the modeling and execution of such a model. These principles have been applied in practice and proven viable. Two platforms and applications, which adhere to these principles, are briefly described

Data Workflow - A Workflow Model for Continuous Data Processing

Online data or streaming data are getting more and more important for enterprise information systems, e.g. by integrating sensor data and workflows. The continuous flow of data provided e.g. by sensors requires new workflow models addressing the data perspective of these applications, since continuous data is potentially infinite while business process instances are always finite.\ud In this paper a formal workflow model is proposed with data driven coordination and explicating properties of the continuous data processing. These properties can be used to optimize data workflows, i.e., reducing the computational power for processing the workflows in an engine by reusing intermediate processing results in several workflows

Ontology-based model-driven patterns for notification-oriented data-intensive enterprise information systems

International audienceIn the fourth industrial revolution, the current Enterprise Information Systems (EIS) are facing a set of new challenges raised by the applications of Cyber-Physical Systems (CPS) and Internet of Things (IoT). In this scenario, a data-intensive EIS involves networks of physical objects with sensing, data collection, transmission and actuation capabilities, and vast endpoints in the cloud, thereby offering large amounts of data. Such systems can be considered as a multidisciplinary complex system with strong interrelations between the involved components. In order to cope with the big heterogeneousness of those physical objects and their intrinsic information, the authors propose a notification-based approach derived from the so-called Notification Oriented Paradigm (NOP), a new rule and event driven approach for software and hardware specification and execution. However, the heterogeneity of those information and their interpretation relatively to an evolving context impose the definition of model-driven patterns based on some formal knowledge modelled by a set of skill-based ontologies. Thus, the paper focuses on the open issue related to the formalisation of such ontology-based patterns for their verification, ensuring the coherence of the whole set of data in each contextual engineering domain involved in the EIS

Product Centric Holons for Synchronisation and Interoperability in Manufacturing Environments

In the last few years, lot of work has been done in order to ensure enterprise applications interoperability; however, proposed solutions focus mainly on enterprise processes. Indeed, throughout product lifecycle coordination needs to be established between reality in the physical world (physical view) and the virtual world handled by manufacturing information systems (informational view). This paper presents a holonic approach that enables synchronisation of both physical and informational views. A model driven approach for interoperability is proposed to ensure interoperability of holon based models with other applications in the enterprise

Design Patterns for Description-Driven Systems

In data modelling, product information has most often been handled separately from process information. The integration of product and process models in a unified data model could provide the means by which information could be shared across an enterprise throughout the system lifecycle from design through to production. Recently attempts have been made to integrate these two separate views of systems through identifying common data models. This paper relates description-driven systems to multi-layer architectures and reveals where existing design patterns facilitate the integration of product and process models and where patterns are missing or where existing patterns require enrichment for this integration. It reports on the construction of a so-called description-driven system which integrates Product Data Management (PDM) and Workflow Management (WfM) data models through a common meta-model.Comment: 14 pages, 13 figures. Presented at the 3rd Enterprise Distributed Object Computing EDOC'99 conference. Mannheim, Germany. September 199

Coordinating negotiations in data-intensive collaborative working environments using an agent-based model-driven platform

This paper tackles the interoperability problems of enterprise information systems by presenting a distributive model-driven platform for parallel coordination of multiple negotiations in data-intensive collaborative working environments. The proposed model was validated and verified by an industrial application scenario within the European research project H2020 C2NET (Cloud Collaborative Manufacturing Networks). This real scenario developed data-intensive collaborative and cloud-enabled tools that allow the optimisation of the supply network of manufacturing SMEs, proposing a negotiation solution based on a model-driven interoperable decentralised architecture.info:eu-repo/semantics/acceptedVersio