4,654 research outputs found

    Cloud Bioinformatics in a private cloud deployment

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

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    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

    The integrity of digital technologies in the evolving characteristics of real-time enterprise architecture

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    Advancements in interactive and responsive enterprises involve real-time access to the information and capabilities of emerging technologies. Digital technologies (DTs) are emerging technologies that provide end-to-end business processes (BPs), engage a diversified set of real-time enterprise (RTE) participants, and institutes interactive DT services. This thesis offers a selection of the author’s work over the last decade that addresses the real-time access to changing characteristics of information and integration of DTs. They are critical for RTEs to run a competitive business and respond to a dynamic marketplace. The primary contributions of this work are listed below. • Performed an intense investigation to illustrate the challenges of the RTE during the advancement of DTs and corresponding business operations. • Constituted a practical approach to continuously evolve the RTEs and measure the impact of DTs by developing, instrumenting, and inferring the standardized RTE architecture and DTs. • Established the RTE operational governance framework and instituted it to provide structure, oversight responsibilities, features, and interdependencies of business operations. • Formulated the incremental risk (IR) modeling framework to identify and correlate the evolving risks of the RTEs during the deployment of DT services. • DT service classifications scheme is derived based on BPs, BP activities, DT’s paradigms, RTE processes, and RTE policies. • Identified and assessed the evaluation paradigms of the RTEs to measure the progress of the RTE architecture based on the DT service classifications. The starting point was the author’s experience with evolving aspects of DTs that are disrupting industries and consequently impacting the sustainability of the RTE. The initial publications emphasized innovative characteristics of DTs and lack of standardization, indicating the impact and adaptation of DTs are questionable for the RTEs. The publications are focused on developing different elements of RTE architecture. Each published work concerns the creation of an RTE architecture framework fit to the purpose of business operations in association with the DT services and associated capabilities. The RTE operational governance framework and incremental risk methodology presented in subsequent publications ensure the continuous evolution of RTE in advancements of DTs. Eventually, each publication presents the evaluation paradigms based on the identified scheme of DT service classification to measure the success of RTE architecture or corresponding elements of the RTE architecture

    Jolie Microservices: An Experiment

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    Os microsserviços estão cada vez mais presentes no mundo das tecnologias de informação, por providenciarem uma nova forma construir sistemas mais escaláveis, ágeis e flexíveis. Apesar disto, estes trazem consigo o problema da complexidade de comunicação entre microsserviços, fazendo com que o sistema seja difícil de manter e de se perceber. Linguagens de programação específicas a microsserviços como Jolie entram em cena para tentar resolver este problema e simplificar a construção de sistemas com arquiteturas de microsserviços. Este trabalho fornece uma visão ampla do estado da arte da linguagem de programação Jolie onde é primeiramente detalhado o porquê de surgirem linguagens específicas a microsserviços e como a linguagem Jolie está construída de maneira a coincidir com as arquiteturas de microsserviços através de recursos nativos. Para demonstrar todas as vantagens de usar esta linguagem em comparação com as abordagens mais mainstream é pensado um experimento de desenvolvimento de um sistema de microsserviços no âmbito de uma aplicação de e-commerce. Este sistema é construído de forma igual usando duas bases tecnológicas – Jolie e Spring Boot. O Spring Boot é considerado a tecnologia mais usada para desenvolver sistemas de microsserviços sendo o candidato ideal para comparação. É pensada toda a análise e design deste experimento. Em seguida, a implementação da solução é detalhada a partir das configurações do sistema, escolhas arquitetónicas e como elas são implementadas. Componentes como API gateway, mediadores de mensagens, bases de dados, orquestração de microsserviços, e conteinerização para cada microsserviço e outros componentes do sistema. Pol último as soluções são comparadas e analisadas com base na abordagem Goals, Questions, Metrics (GQM). São analisadas relativamente a atributos de qualidade como manutenção, escalabilidade, desempenho e testabilidade. Após esta análise pode-se concluir que a solução construída com Jolie apresenta diferenças na manutenção sendo significativamente superior à solução baseada em Spring Boot e apresenta diferenças em termos de performance sendo ligeiramente inferior à solução construída com Spring Boot. O trabalho termina com a indicação das conquistas, dificuldades, ameaças à validade, possíveis trabalhos futuros e observações finais.Microservices are increasingly present in the world of information technologies, as they provide a new way to build more scalable, agile, and flexible systems. Despite this, they bring with them the problem of communication complexity between microservices, making the system difficult to maintain and understand. Microservices-specific programming languages like Jolie come into play to try to solve this problem and simplify the construction of systems with microservices architectures. This work provides a broad view of the State of Art of the Jolie programming language, where it is first detailed why microservices-specific languages emerge and how the Jolie language is built to match microservices architectures through native resources. To demonstrate all the advantages of using this language compared to more mainstream approaches, an experiment is designed to develop a microservices system within an e-commerce application. This system is built equally using two technological foundations – Jolie and Spring Boot. Spring Boot is considered the most used technology to develop microservices systems and is an ideal candidate for comparison. The entire analysis and design of this experiment are thought through. Then the implementation of the solution is detailed from system configurations, architectural choices, and how they are implemented. Components such as API gateway, message brokers, databases, microservices orchestration, and containerization for each microservice and other components of the system. Finally, the solutions are compared and analyzed based on the Goals, Questions, Metrics (GQM) approach. They are analyzed for quality attributes such as maintainability, scalability, performance, and testability. After this analysis, it can be concluded that the solution built with Jolie presents differences in maintenance being significant superior to the solution based on Spring Boot, and it presents differences in terms of performance being slightly inferior to the solution built with Spring Boot. The work ends with an indication of the achievements, difficulties, threats to validity, possible future work, and final observations

    A Cloud-Oriented Green Computing Architecture for E-Learning Applications

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    Cloud computing is a highly scalable and cost-effective infrastructure for running Web applications. E-learning or e-Learning is one of such Web application has increasingly gained popularity in the recent years, as a comprehensive medium of global education system/training systems. The development of e-Learning Application within the cloud computing environment enables users to access diverse software applications, share data, collaborate more easily, and keep their data safely in the infrastructure. However, the growing demand of Cloud infrastructure has drastically increased the energy consumption of data centers, which has become a critical issue. High energy consumption not only translates to high operational cost, which reduces the profit margin of Cloud providers, but also leads to high carbon emissions which is not environmentally friendly. Hence, energy-efficient solutions are required to minimize the impact of Cloud-Oriented E-Learning on the environment. E-learning methods have drastically changed the educational environment and also reduced the use of papers and ultimately reduce the production of carbon footprint. E-learning methodology is an example of Green computing. Thus, in this paper, it is proposed a Cloud-Oriented Green Computing Architecture for eLearning Applications (COGALA). The e-Learning Applications using COGALA can lower expenses, reduce energy consumption, and help organizations with limited IT resources to deploy and maintain needed software in a timely manner. This paper also discussed the implication of this solution for future research directions to enable Cloud-Oriented Green Computing

    New Technology and Automation in Freight Transport and Handling Systems

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    This is an evidence review that examines the trends in manufacturing and global supply chains, looking at the international trade, technology and users, and how these may change between now and 2040. The review has been commissioned by the Government Office for Science within the Foresight project. The Foresight Future of Mobility project is run from within the UK Government Office for Science (GO-Science). The Foresight project was launched to try to understand the broad question "What benefits/ opportunities could the transport system of the future provide and what are the implications for Government and society?

    Real life Applications of Internet of Things

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    The Internet of Things is the next technological revolution after the revolution of computer and internet. IoT integrates the new technologies of computing and communication (e.g. Sensor networks, RFID, Mobile communication and IPV6 etc). The Internet of Things is an emerging topic of technical, social, and economic significance. The term Internet of Things generally refers to scenarios where network connectivity and computing capability extends to objects, sensors and everyday items not normally considered computers, allowing these devices to generate exchange and consume data with minimal human intervention. Internet connect “all people”, Internet of Things connect “all things”. Interconnection of Things or Objects or Machines, e.g., sensors, actuators, mobile phones, electronic devices, home appliances, any existing items and interact with each other via Interne
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