A cloud-based integration platform for enterprise application integration: a model-driven engineering approach

This article addresses major information systems integration problems, approaches, technologies, and tools within the context of Model-Driven Software Engineering. The Guaraná integration platform is introduced as an innovative platform amongst state-of-the-art technologies available for enterprises to design and implement integration solutions. In this article, we present its domain-specific modeling language and its industrial cloud-based web development platform, which supports the design and implementation of integration solutions. A real-world case study is described and analyzed; then, we delve into its design and implementation, to finally disclose ten measures that empirically help estimating the amount of effort involved in the development of integration solutions.info:eu-repo/semantics/acceptedVersio

A cloud-based integration platform for enterprise application integration: A Model-Driven Engineering approach

This article addresses major information systems integration problems, approaches, technologies, and tools within the context of Model-Driven Software Engineering. The Guaraná integration platform is introduced as an innovative platform amongst state-of-the-art technologies available for enterprises to design and implement integration solutions. In this article, we present its domain-specificmodeling language and its industrial cloud-based web development platform, which supports the design and implementation of integration solutions. A real-world case study is described and analyzed; then, we delve into its design and implementation, to finally disclose ten measures that empirically help estimating the amount of effort involved in the development of integration solutions

Urban Health Informatics through Cloud-Based Data Integration

Cloud-based data integration is critical for effective urban health informatics solutions. Data from multiple sources, such as electronic health records (EHRs), public health databases, wearable devices, social media, and environmental sensors, are consolidated into a single cloud-based platform. This study examines the advantages of cloud-based integration platforms in urban health informatics, focusing on data aggregation, scalability, data interoperability, real-time data processing, collaborative research and analytics, enhanced data security and privacy, and cost efficiency.Cloud-based platforms enable the aggregation of diverse data types and formats from various sources, providing a comprehensive view of urban health for better analysis and decision-making. These platforms also offer scalability, accommodating the exponential growth of health data in urban areas by scaling resources based on demand, ensuring efficient data integration. Data interoperability is facilitated by cloud-based integration platforms, supporting data exchange formats and health information standards. This enables seamless data sharing and integration among healthcare providers, public health agencies, and urban planning departments, promoting collaboration and improving urban health outcomes. Real-time data processing capabilities allow for timely information in urban health scenarios. Early detection of disease outbreaks, emergency response, and resource allocation are enhanced through real-time data analysis. Cloud-based integration platforms provide a centralized environment for collaborative research and analytics. Stakeholders can securely access and analyze integrated data, gaining insights into health trends and developing evidence-based interventions. Advanced analytics and predictive modeling are facilitated by machine learning and artificial intelligence algorithms

A people-oriented paradigm for smart cities

Most works in the literature agree on considering the Internet of Things (IoT) as the base technology to collect information related to smart cities. This information is usually offered as open data for its analysis, and to elaborate statistics or provide services which improve the management of the city, making it more efficient and more comfortable to live in. However, it is not possible to actually improve the quality of life of smart cities’ inhabitants if there is no direct information about them and their experiences. To address this problem, we propose using a social and mobile computation model, called the Internet of People (IoP) which empowers smartphones to recollect information about their users, analyze it to obtain knowledge about their habits, and provide this knowledge as a service creating a collaborative information network. Combining IoT and IoP, we allow the smart city to dynamically adapt its services to the needs of its citizens, promoting their welfare as the main objective of the city.Universidad de Málaga. Campus de Excelencia Internacional Andalucía Tech

Cloud-based integration and standardization of address data for disaster management – a South African case study

Addresses are essential for disaster risk management and response because they are used to locate people affected by a disaster or at risk of being affected. South Africa is vulnerable to disasters, however, despite a legislative framework for supporting disaster risk management that meets international standards, implementation falls short due to underfunding, poor interdepartmental coordination and lack of political support. The importance of cross jurisdictional address data was highlighted by the COVID-19 pandemic of 2020 when the geocoding of positive cases was hindered due to the lack of such address data in South Africa. In this paper, we present first results about a cloud-based tool for integrating address data from multiple municipalities into a single address dataset that conforms to the South African National Standard, SANS 1883-2:2017, Geographic information – Addresses: Part 2: Address data exchange. We reviewed and evaluated three cloud platforms for the prototype implementation. The integrated dataset is maintained in the cloud and therefore readily accessible by relevant organizations. At the same time, processing in the cloud can handle changing volumes of data with elasticity, i.e. computing power can be increased or decreased at short notice, as necessary during a disaster response. Furthermore, processing can be automated, thereby mitigating the risk of reduced manpower due to a disaster. Overall, a properly maintained cloudbased tool can result in more efficient use of resources presenting a viable and interesting alternative for underfunded disaster risk management centres in South Africa and other parts of the world.https://www.isprs.org/publications/archives.aspxpm2021Geography, Geoinformatics and Meteorolog

Towards a Service-Oriented Enterprise: The Design of a Cloud Business Integration Platform in a Medium-Sized Manufacturing Enterprise

This case study research followed the two-year transition of a medium-sized manufacturing firm towards a service-oriented enterprise. A service-oriented enterprise is an emerging architecture of the firm that leverages the paradigm of services computing to integrate the capabilities of the firm with the complementary competencies of business partners to offer customers with value-added products and services. Design science research in information systems was employed to pursue the primary design of a cloud business integration platform to enable the secondary design of multi-enterprise business processes to enable the dynamic and effective integration of business partner capabilities with those of the enterprise. The results from the study received industry acclaim for the designed solutions innovativeness and business results in the case study environment. The research makes contributions to the IT practitioner and scholarly knowledge base by providing insight into key constructs associated with service-oriented design and deployment of a cloud enterprise architecture and cloud intermediation model to achieve business results. The study demonstrated how an outside-in service-oriented architecture adoption pattern and cloud computing model enabled a medium-sized manufacturing enterprise to focus on a comprehensive approach to business partner integration and collaboration. The cloud integration platform has enabled a range of secondary designs that leveraged business services to orchestrate inter-enterprise business processes for choreography into service systems and networks for the purposes of value creation. The study results demonstrated enhanced levels of business process agility enabled by the cloud platform leading to secondary designs of transactional, differentiated, innovative, and improvisational business processes. The study provides a foundation for future scholarly research on the role of cloud integration platforms in enterprise computing and the increased importance of service-oriented secondary designs to exploit cloud platforms for sustained business performance

A pluggable service platform architecture for e-commerce

In the beginning of the e-commerce era, retailers mostly adopted vertically integrated solutions to control the entire e-commerce value chain. However, they began to realize that to achieve agility, a better approach would be to focus on certain core capabilities and then create a partner ecosystem around them. From a technical point of view, this means it is advised to have a lightweight platform architecture with small core e-commerce functionality which can be extended by additional services from third party providers. In a typical e-commerce ecosystem with diverse information systems of network partners, integration and interoperability become critical factors to enable seamless coordination among the partners. Furthermore an increasing adoption of cloud computing technology could be observed resulting in more challenging integration scenarios involving cloud services. Thus, an e-commerce platform is required that suites the advanced needs for flexible and agile service integration. Therefore, this paper aims to present a reference architecture of a novel pluggable service platform for e-commerce. We investigate on currently available online shop platform solutions and integration platforms in the market. Based on the findings and motivated by literature on service-oriented design, we develop an architecture of a service-based pluggable platform for online retailers. This design is then instantiated by means of a prototype for an e-commerce returns handling scenario to demonstrate the feasibility of our architecture design

Dublin Smart City Data Integration, Analysis and Visualisation

Data is an important resource for any organisation, to understand the in-depth working and identifying the unseen trends with in the data. When this data is efficiently processed and analysed it helps the authorities to take appropriate decisions based on the derived insights and knowledge, through these decisions the service quality can be improved and enhance the customer experience. A massive growth in the data generation has been observed since two decades. The significant part of this generated data is generated from the dumb and smart sensors. If this raw data is processed in an efficient manner it could uplift the quality levels towards areas such as data mining, data analytics, business intelligence and data visualisation

Information Framework of Pervasive Real Time Monitoring System: Case of Peat Land Forest Fires and Air Quality in South Sumatera, Indonesia

The information framework aims to holistically address the problems and issues posed by unwanted peat and land fires within the context of the natural environment and socio-economic systems. Informed decisions on planning and allocation of resources can only be made by understanding the landscape. Therefore, information on fire history and air quality impacts must be collected for future analysis. This paper proposes strategic framework based on technology approach with data fusion strategy to produce the data analysis about peat land fires and air quality management in in South Sumatera. The research framework should use the knowledge, experience and data from the previous fire seasons to review, improve and refine the strategies and monitor their effectiveness for the next fire season. Communicating effectively with communities and the public and private sectors in remote and rural landscapes is important, by using smartphones and mobile applications. Tools such as one-stop information based on web applications, to obtain information such as early warning to send and receive fire alerts, could be developed and promoted so that all stakeholders can share important information with each other

Implications of Integration and Interoperability for Enterprise Cloud-based Applications

Enterprise’s adoption of cloud-based solutions is often hindered by problems associated with the integration of the cloud environment with on-premise systems. Currently, each cloud provider creates its proprietary application programing interfaces (APIs), which will complicate integration efforts for companies as they struggle to understand and manage these unique application interfaces in an interoperable way. This paper aims to address this challenge by providing recommendations to enterprises. The presented work is based on a quantitative study of 114 companies, which discuss current issues and future trends of integration and interoperability requirements for enterprise cloud application adoption and migration. The outcome of the discussion provides a guideline applicable to support decision makers, software architects and developers when considering to design and develop interoperable applications in order to avoid lock-in and integrate seamlessly into other cloud and on-premise systems