Interoperable Systems: an introduction

This short chapter introduces interoperable systems and attempts to distinguish the principal research strands in this area. It is not intended as a review. Significant review material is integrated with each of the succeeding chapters. It is rather intended to whet the appetite for what follows and to provide some initial conceptual orientation. This book concerns the architecture, modelling and management of interoperable computing systems. Our collective research agenda addresses all aspects of interoperable systems development, including the business and industry requirements and environments for distributed information services

Enabling IoT ecosystems through platform interoperability

Today, the Internet of Things (IoT) comprises vertically oriented platforms for things. Developers who want to use them need to negotiate access individually and adapt to the platform-specific API and information models. Having to perform these actions for each platform often outweighs the possible gains from adapting applications to multiple platforms. This fragmentation of the IoT and the missing interoperability result in high entry barriers for developers and prevent the emergence of broadly accepted IoT ecosystems. The BIG IoT (Bridging the Interoperability Gap of the IoT) project aims to ignite an IoT ecosystem as part of the European Platforms Initiative. As part of the project, researchers have devised an IoT ecosystem architecture. It employs five interoperability patterns that enable cross-platform interoperability and can help establish successful IoT ecosystems.Peer ReviewedPostprint (author's final draft

Business integration models in the context of web services.

E-commerce development and applications have been bringing the Internet to business and marketing and reforming our current business styles and processes. The rapid development of the Web, in particular, the introduction of the semantic web and web service technologies, enables business processes, modeling and management to enter an entirely new stage. Traditional web based business data and transactions can now be analyzed, extracted and modeled to discover new business rules and to form new business strategies, let alone mining the business data in order to classify customers or products. In this paper, we investigate and analyze the business integration models in the context of web services using a micro-payment system because a micro-payment system is considered to be a service intensive activity, where many payment tasks involve different forms of services, such as payment method selection for buyers, security support software, product price comparison, etc. We will use the micro-payment case to discuss and illustrate how the web services approaches support and transform the business process and integration model.

Internet of robotic things : converging sensing/actuating, hypoconnectivity, artificial intelligence and IoT Platforms

The Internet of Things (IoT) concept is evolving rapidly and influencing newdevelopments in various application domains, such as the Internet of MobileThings (IoMT), Autonomous Internet of Things (A-IoT), Autonomous Systemof Things (ASoT), Internet of Autonomous Things (IoAT), Internetof Things Clouds (IoT-C) and the Internet of Robotic Things (IoRT) etc.that are progressing/advancing by using IoT technology. The IoT influencerepresents new development and deployment challenges in different areassuch as seamless platform integration, context based cognitive network integration,new mobile sensor/actuator network paradigms, things identification(addressing, naming in IoT) and dynamic things discoverability and manyothers. The IoRT represents new convergence challenges and their need to be addressed, in one side the programmability and the communication ofmultiple heterogeneous mobile/autonomous/robotic things for cooperating,their coordination, configuration, exchange of information, security, safetyand protection. Developments in IoT heterogeneous parallel processing/communication and dynamic systems based on parallelism and concurrencyrequire new ideas for integrating the intelligent “devices”, collaborativerobots (COBOTS), into IoT applications. Dynamic maintainability, selfhealing,self-repair of resources, changing resource state, (re-) configurationand context based IoT systems for service implementation and integrationwith IoT network service composition are of paramount importance whennew “cognitive devices” are becoming active participants in IoT applications.This chapter aims to be an overview of the IoRT concept, technologies,architectures and applications and to provide a comprehensive coverage offuture challenges, developments and applications

A Framework for M-Commerce Implementation in Nigeria

The Internet has brought about the concept of grobalilation, which has revolutionized the way business is transacted all over the world. The E-comnterce is of particular interest, though widely used but still has some security challenges in terms of transparency and confidentiality of transactiorts. This papei focuses on M-contnrcrce as an extensiott to E-commerce hnplementatiott with the Bankiltg industry proposed as core implementation consideration in ortler to guarantee high level security. We have reviewed some cqses of onlilrc frauds and eliscussed tlte emerging critical issues afficting software development of M-cornmerce applicatiotts. Afranrcworkfor M-commerce implementationis therefore,proposed for countries such as Nigeria, Romania and Indonesia where cases of online scam are alanning

Balancing Requirements For Customer Value Of Mobile Services

Designing business models for mobile services is a complex undertaking because it requires multiple actors to balance different design requirements. A business model can be seen as a blueprint of four interrelated components or domains: service, technology, organization and finance domain. Little attention has been paid to how these different domains are related to each other. This knowledge is needed to enhance our understanding of what constitutes a viable business model. In this paper the connections between two of these domains, namely service and technology domain, are explored by analysing critical design issues in business models for mobile services, i.e. targeting, creating value, branding and customer retention in the service domain, and security, quality of service, management of service profiles, system integration and accessibility in the technology domain. A causal framework is developed, which link these critical design issues to expected customer value and business model viability.