Abstract-Along with the significant advantages of cloud computing paradigm, the number of enterprises, which expect to move a legacy system towards a cloud, is steadily increasing. Unfortunately, this move is not straightforward. There are many challenges to take up. The applications are often written with the outdated technologies. While some enterprises redevelop applications with a specific Cloud provider in mind, others try to move the legacy systems, either because the organization wants to keep the past investments, or because the legacy systems hold important data. Migrating the legacy systems to the Cloud introduces technical and business challenges. This paper aims to study deeply and to compare existing Cloud migration methods, based on Model Driven Engineering (MDE) approach to highlight the strengths and weaknesses of each one. Finally, we have proposed a Cloud legacy system Migration Method relied on Architecture Driven Modernization (ADM), and explained its working process.
Enterprise Resource Planning (ERP) is business process management software that integrates all facets of an operation, including product planning, development, manufacturing, sales and marketing. The basic goal of using an ERP system is to provide one central repository for all information that is shared by all the various ERP facets to improve the flow of data across the organization. In contrast, the quality of making decision remains limited by the fact that this central repository is based the transactional and restricted data. In the paper, we propose to enhance this data by using the concept of the technologies Big Data (Using transactional and external data). The result of our proposition is a generic meta-model of an ERP rich which we call Big ERP. A meta-model proposed improves the quality of decisions made by the decisions-makers Keywords: ERP; Big Data; decision-making; Meta-Model; decision process. I. II.Erp, Big Data and Related Research 2.1. ERP [3] defined an ERP system as a ""comprehensive, packet-based software solution that attempts to integrate all the processes and functions within a company to create a complete overview of the enterprise from a single IT architecture"". [4] defined an ERP system as an information system that is designed to integrate and optimize business processes and transactions in a company.The objective of an ERP system is to enhance the performance of the company by integrating all business processes and data into one system, including integration of the supply chain, inventory management, management of customers" orders, accounting, and human resource management [5,6]. An ERP system is usually implemented in order to improve upon certain business goals, such as lowering inventory levels, reducing the working capital, shortening order lead times, or minimizing outstanding debts. After the system went live, the shift managers were the only ones who knew how to use the system. Because they now had to spend their time entering data and completing business transactions, they had less time to attend to the production, stock keeping, and decision making.The foundation of a generated system is an information model. Based on this model, the system components are created automatically. Depending on the underlying paradigm, an information model can describe business processes, operations, functions, objects, data, and/or organizational structures (Fig. 2). BIG DATAWe view that several key themes with the Big Data trend include (i) using a cloud for large-scale external and internal data; (ii) providing an easy-to-use but powerful services to access/manage/analyze the Big Data in the cloud; (iii) defining a problem-solving space and developing an architecture for a Big Data
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