Relevant bibliographies by topics / IoT DevOps

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'IoT DevOps'

Author: Grafiati
Published: 5 June 2025
Last updated: 9 July 2025

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Journal articles on the topic "IoT DevOps"

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Orlov, M., O. Duda, Yu Zhovnir та O. Hrybovskyi. "Інструменти методології DevOps в інформаційних системах на основі технологій IoT". COMPUTER-INTEGRATED TECHNOLOGIES: EDUCATION, SCIENCE, PRODUCTION, № 57 (13 лютого 2025): 128–38. https://doi.org/10.36910/6775-2524-0560-2024-57-15.

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В статті розглядається основні інструменти методології DevOps та їх застосування в інформаційних системах, що базуються на технологіях Інтернету речей (IoT). Зростаюча кількість IoT-пристроїв, які постійно генерують великі обсяги даних, вимагає ефективного підходу до управління процесами розробки, тестування та розгортання програмного забезпечення. Методологія DevOps забезпечує автоматизацію та інтеграцію цих процесів, дозволяючи зменшити затримки та підвищити якість сервісів. У роботі акцентується увага на інструментах CI/CD (безперервної інтеграції та доставки) і контейнеризації, які є ключовими для досягнення надійності та гнучкості в IoT-екосистемах. Розглядаються конкретні сценарії застосування DevOps в IT-інфраструктурі, зокрема опрацювання даних на периферійних та хмарних платформах, автоматизація управління інфраструктурою та забезпечення кібербезпеки. Крім того, обговорюються особливості моніторингу та обслуговування IoT-рішень у режимі реального масштабу часу з використанням DevOps інструментів для виявлення й усунення помилок. Представлені рекомендації допоможуть спеціалістам краще зрозуміти можливості DevOps для створення масштабованих та безпечних IoT-систем, що відповідають сучасним вимогам бізнесу та кібербезпеки
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Paprzycki, Marcin, Maria Ganzha, Katarzyna Wasielewska, and Piotr Lewandowski. "DEVSECOPS METHODOLOGY FOR NG-IOT ECOSYSTEM DEVELOPMENT LIFECYCLE – ASSIST-IOT PERSPECTIVE." Journal of Computer Science and Cybernetics 37, no. 3 (2021): 321–37. http://dx.doi.org/10.15625/1813-9663/37/3/16245.

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Current software projects require continuous integration during their whole lifetime. In this context, different approaches regarding introduction of DevOps and DevSecOps strategies have been proposed in the literature. While DevOps proposes an agile methodology for the development and instantiation of software platforms with minimal impact in any kind of operations environment, this contribution proposes the introduction of DevOps methodology for Next Generation IoT deployments. Moreover, novelty of the proposed approach lies in leveraging DevSecOps in different stages and layers of the architecture. In particular, the present work describes the different DevSecOps methodology tasks, and how the security is included on pre-design activities such as planning, creation or adaptation, the design and implementation, as well as on post-implementation activities such as detection, response. Without proper consideration of security and privacy best practices identified in this article, the continuous delivery of services using DevOps methodologies may create risks and introduce different vulnerabilities for Next Generation IoT deployments.
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Prudhvi Singirikonda. "5g-Enabled DevOps: Revolutionizing Integrated Communication And Networking Technologies For Faster Software Delivery." International Journal for Research Publication and Seminar 15, no. 3 (2024): 491–99. http://dx.doi.org/10.36676/jrps.v15.i3.1540.

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This paper discusses how integrating 5G and IoT technologies can improve the DevOps process regarding communication and networking to foster efficient software delivery. The strengths of 5G are expected to provide interfaces for IoT devices and ensure high-speed, low-latency networks that will bring responses to the existing DevOps challenges, including longer durations of continuous integration and deployment. Exploiting the benefits provided by 5G connectivity and IoT for real-time data processing, one can get more robust, functional, and adaptive DevOps settings. The results suggest that integrating 5G and IoT into DevOps will not only increase the speed of software delivery but also improve overall system performance and open doors to novel solutions for heightened, built-in agile software development and deployment in complex and highly distributed systems. Therefore, this paper aims to demonstrate the possibility of innovation enabled by using 5G and IoT to improve the efficiency and resilience of the DevOps processes, making it possible for technologies and business requirements to advance rapidly in the digital age.
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Prudhvi Singirikonda. "5g-Enabled DevOps: Revolutionizing Integrated Communication And Networking Technologies For Faster Software Delivery." International Journal for Research Publication and Seminar 15, no. 1 (2024): 491–99. http://dx.doi.org/10.36676/jrps.v15.i1.1540.

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This paper discusses how integrating 5G and IoT technologies can improve the DevOps process regarding communication and networking to foster efficient software delivery. The strengths of 5G are expected to provide interfaces for IoT devices and ensure high-speed, low-latency networks that will bring responses to the existing DevOps challenges, including longer durations of continuous integration and deployment. Exploiting the benefits provided by 5G connectivity and IoT for real-time data processing, one can get more robust, functional, and adaptive DevOps settings. The results suggest that integrating 5G and IoT into DevOps will not only increase the speed of software delivery but also improve overall system performance and open doors to novel solutions for heightened, built-in agile software development and deployment in complex and highly distributed systems. Therefore, this paper aims to demonstrate the possibility of innovation enabled by using 5G and IoT to improve the efficiency and resilience of the DevOps processes, making it possible for technologies and business requirements to advance rapidly in the digital age.
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Judvaitis, Janis, Rihards Balass, and Modris Greitans. "Mobile IoT-Edge-Cloud Continuum Based and DevOps Enabled Software Framework." Journal of Sensor and Actuator Networks 10, no. 4 (2021): 62. http://dx.doi.org/10.3390/jsan10040062.

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This research aims to provide a high-level software framework for IoT-Edge-Cloud computational continuum-based applications with support for mobile IoT and DevOps integration utilizing the Edge computing paradigms. This is achieved by dividing the system in a modular fashion and providing a loosely coupled service and module descriptions for usage in the respective system layers for flexible and yet trustworthy implementation. The article describes the software architecture for a DevOps-enabled Edge computing solution in the IoT-Edge-Cloud computational continuum with the support for flexible and mobile IoT solutions. The proposed framework is validated on an intelligent transport system use case in the rolling stock domain and showcases the improvements gained by using the proposed IoT-Edge-Cloud continuum framework.
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Kiran, Kumar Voruganti. "Edge-AI and IoT DevOps: Managing Deployment Pipelines for Real-Time Analytics." Journal of Scientific and Engineering Research 9, no. 6 (2022): 84–94. https://doi.org/10.5281/zenodo.12666911.

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The integration of Edge-AI and IoT within DevOps practices is revolutionizing data processing and real-time analytics, enabling immediate insights and decision-making across various industries. This paper explores the deployment of Edge-AI and IoT in DevOps environments, focusing on system architecture, automation, AI model training, real-time data processing, and security mechanisms. By examining the roles of edge computing nodes, AI model deployment, and real-time analytics, the study highlights the benefits of reduced latency, enhanced data privacy, and efficient resource utilization. Through detailed case studies in smart manufacturing and healthcare monitoring systems, this research demonstrates the practical applications and effectiveness of the proposed framework. The findings provide valuable insights for developing robust, scalable, and secure Edge-AI and IoT systems, addressing challenges such as data volume, latency, and security. This study contributes to the evolving field of IoT DevOps, offering a comprehensive framework and best practices for enhancing real-time analytics capabilities in cloud computing environments.
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Zhovnir, Yuri, Oleg Hrybovskyi, Mykola Orlov, Oleksiy Duda, and Natalia Kunanets. "Methodology of development and maintenance of information systems based on the technology of the internet of things." Management of Development of Complex Systems, no. 60 (November 29, 2024): 56–70. https://doi.org/10.32347/2412-9933.2024.60.56-70.

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The article is devoted to the study of development and maintenance methodologies for information systems based on the Internet of Things (IoT) technology, with a particular focus on the use of the DevOps methodology. The Internet of Things is rapidly evolving, penetrating various industries, including infrastructure management, security systems, resource management, and water supply and sewage control. Modern IoT systems require a high level of reliability, scalability, and security as they interact with numerous devices and process large volumes of real-time data. Therefore, the relevance of this study lies in the need to determine the most effective methodologies for designing, supporting, and updating IoT systems, considering the complexity of such solutions and the rapid technological advancements. Research results show that the DevOps methodology is one of the most suitable for developing IoT systems, as it enables process automation, continuous integration, regular updates, and high system stability. Using DevOps significantly enhances the productivity of development and operations teams working on IoT solutions. The study examines the main stages of IoT system development, including requirements analysis, architectural design, testing, deployment, and maintenance. Modern approaches to ensuring the security, integration, and scalability of IoT systems are described, which include automated monitoring and managing updates of software and hardware. The article also provides an overview of real examples of the DevOps methodology application in several projects by domestic and foreign IT companies. For instance, successful cases of DevOps implementation in residential complex security systems, water supply and sewage control systems for large cities, microclimate control systems in industrial buildings and offices, and city lighting control systems are reviewed. The research results demonstrate the high effectiveness of using DevOps for IoT projects that require stability, flexibility, and scalability. Applying this methodology allows optimizing development and maintenance processes, ensuring the uninterrupted operation of IoT systems, and enhancing cybersecurity levels, which is critically important for modern infrastructure solutions. The use of the DevOps methodology in projects such as security systems for residential complexes, water supply and sewage management systems, as well as city climate control and lighting systems, demonstrates its effectiveness. The DevOps methodology enables easy scaling of information systems to meet the growing needs of cities, which is critically important for infrastructure solutions where the number of connected devices may continuously increase.
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NUGRAHA, AZIS WISNU WIDHI, IMRON ROSYADI, and FAHMI KHOERULLATIF. "Penerapan DevOps pada Sistem Tertanam dengan ESP8266 menggunakan Mekanisme Over The Air." ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika 9, no. 3 (2021): 678. http://dx.doi.org/10.26760/elkomika.v9i3.678.

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ABSTRAKDevOps mendorong percepatan pengembangan sistem. Namun bukti nyata penerapannya pada sistem tertanam belum mencukupi. Salah satu penyebabnya adalah kesulitan proses deployment pada perangkat. Konsep IoT menghubungkan sistem tertanam dengan jaringan yang memungkinkan proses pembaharuan firmware menggunakan mekanisme Over The Air (OTA). Tulisan ini mengusulkan infrastruktur DevOps untuk pengembangan sistem tertanam. Perangkat keras yang digunakan adalah microcontroller ESP8266. Sedangkan lingkungan DevOps menggunakan perangkat lunak PlatformIO, GitHub dan Travis CI. Pengujian dilakukan dengan mengubah user requirement yang kemudian diterapkan pada perangkat keras. Tahapan DevOps (build and test, release hingga deploy) telah berhasil dilakukan secara otomatis. Sistem mampu mendeteksi kesalahan penulisan kode sumber. Rerata waktu keseluruhan proses adalah 77,21 detik. Proses build and test mendominasi waktu proses dengan rerata sebesar 77,21 detik dan waktu deploy memiliki rerata 1,41 detik.Kata kunci: IoT, Sistem Tertanam, OTA, DevOps, ESP8266 ABSTRACTDevOps drives the acceleration of system development. However, the concrete evidence of its application in embedded systems is not sufficient. One of the causes is difficulty in the deployment process on the device. Firmware update using an Over-The-Air (OTA) mechanism is allowed by the IoT concept that connects embedded systems into a network. This paper is proposing a DevOps infrastructure for embedded system development. Proposed infrastructure using ESP8266 for the hardware and PlatformIO, GitHub, and Travis CI for the DevOps environment. Testing the proposed system is done by changing the user requirements that are applied to the hardware. The DevOps stages from building and test, release, and deployment have automatically been done. The system is also able to detect developer errors in writing source code. The average time of the whole process on trial was 77.21 seconds. The build and test process dominates the processing time with an average of 77.21 seconds and the deployment time is relatively short with an average of 1.41 seconds.Keywords: IoT, Embedded System, OTA, DevOps, ESP8266
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Truong, Hong-Linh, and Peter Klein. "DevOps Contract for Assuring Execution of IoT Microservices in the Edge." Internet of Things 9 (March 2020): 100150. http://dx.doi.org/10.1016/j.iot.2019.100150.

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Lopez-Pena, Miguel A., Jessica Diaz, Jorge E. Perez, and Hector Humanes. "DevOps for IoT Systems: Fast and Continuous Monitoring Feedback of System Availability." IEEE Internet of Things Journal 7, no. 10 (2020): 10695–707. http://dx.doi.org/10.1109/jiot.2020.3012763.

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Dissertations / Theses on the topic "IoT DevOps"

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Piscaglia, Daniele. "Supporto e Infrastrutture DevOps per Microservizi IoT su Edge Gateway." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2021.

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Progetto svolto durante il tirocinio presso l'azienda Bonfiglioli Riduttori che descrive il processo di modifica di una soluzione di predictive maintenance esistente. La soluzione che coinvolge sensori IoT per la raccolta dati e Edge gateway per analisi e processamento, è stata rivisitata in funzione di importanti meccaniche di amministrazione e manutenzione. Il focus principale della tesi è su come questi sistemi distribuiti richiedano un approccio differente alla distribuzione dei microservizi e alla gestione dei dispositivi e come l'utilizzo delle varie tipologie di piattaforme IoT possano ridurre il carico sulle spalle degli sviluppatori.
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Cattalani, Lisa. "DevOps e Continuous Integration per Sistemi IoT e Mobile. Un Caso di Studio basato su Android." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2020. http://amslaurea.unibo.it/20579/.

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Negli anni sia la tecnologia che le tecniche applicate per la produzione di software sono cambiate molto, si è passati da un approccio waterfall, per poi passare ad uno più innovativo, Agile, ed arrivare poi ad un approccio DevOps. In questa tesi si discuterà di come DevOps viene applicato ai vari settori, passando dal più comune It,all’Iot, al mobile per poi passare più nello specifico di Android. Nel primo capitolo si parlerà di come è nato DevOps, quali erano i precedenti approcci, di come sono evoluti in base al mercato, e di come può essere applicato DevOps nell’IT. Nel secondo capitolo si andrà più nello specifico di cos’è DevOps, quali fasi, metodologie e strumenti sono utilizzati in questo approccio, quali nuovi termini sono nati e cosa comporta questo approccio nell’immediato futuro. Nel terzo capitolo si parlerà invece dell’evoluzione delle tecnologie, dell’IoT, del mobile e di come applicare DevOps a queste nuove tecnologie. Nel quarto capitolo si andrà invece nello specifico di come applicare un approccio DevOps e la continuous integration ad un progetto Android, CERERE; nello specifico verrà considerato il server CI/CD Bitrise.
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Norcini, Simone. "From data to applications in the Internet of Things." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2016. http://amslaurea.unibo.it/11128/.

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Con la crescita in complessità delle infrastrutture IT e la pervasività degli scenari di Internet of Things (IoT) emerge il bisogno di nuovi modelli computazionali basati su entità autonome capaci di portare a termine obiettivi di alto livello interagendo tra loro grazie al supporto di infrastrutture come il Fog Computing, per la vicinanza alle sorgenti dei dati, e del Cloud Computing per offrire servizi analitici complessi di back-end in grado di fornire risultati per milioni di utenti. Questi nuovi scenarii portano a ripensare il modo in cui il software viene progettato e sviluppato in una prospettiva agile. Le attività dei team di sviluppatori (Dev) dovrebbero essere strettamente legate alle attività dei team che supportano il Cloud (Ops) secondo nuove metodologie oggi note come DevOps. Tuttavia, data la mancanza di astrazioni adeguata a livello di linguaggio di programmazione, gli sviluppatori IoT sono spesso indotti a seguire approcci di sviluppo bottom-up che spesso risulta non adeguato ad affrontare la compessità delle applicazione del settore e l'eterogeneità dei compomenti software che le formano. Poichè le applicazioni monolitiche del passato appaiono difficilmente scalabili e gestibili in un ambiente Cloud con molteplici utenti, molti ritengono necessaria l'adozione di un nuovo stile architetturale, in cui un'applicazione dovrebbe essere vista come una composizione di micro-servizi, ciascuno dedicato a uno specifica funzionalità applicativa e ciascuno sotto la responsabilità di un piccolo team di sviluppatori, dall'analisi del problema al deployment e al management. Poichè al momento non si è ancora giunti a una definizione univoca e condivisa dei microservices e di altri concetti che emergono da IoT e dal Cloud, nè tantomento alla definzione di linguaggi sepcializzati per questo settore, la definzione di metamodelli custom associati alla produzione automatica del software di raccordo con le infrastrutture potrebbe aiutare un team di sviluppo ad elevare il livello di astrazione, incapsulando in una software factory aziendale i dettagli implementativi. Grazie a sistemi di produzione del sofware basati sul Model Driven Software Development (MDSD), l'approccio top-down attualmente carente può essere recuperato, permettendo di focalizzare l'attenzione sulla business logic delle applicazioni. Nella tesi viene mostrato un esempio di questo possibile approccio, partendo dall'idea che un'applicazione IoT sia in primo luogo un sistema software distribuito in cui l'interazione tra componenti attivi (modellati come attori) gioca un ruolo fondamentale.
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Sallowm, Afraa Jalal. "ICT access and use in the remote rural town of Hatherleigh (Devon, UK) : towards citizen engagement?" Thesis, University of Plymouth, 2009. http://hdl.handle.net/10026.1/1674.

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Information communication technologies (ICTs) have reached into everyday life. This emphasises the increasing importance of understanding the relationship between ICTs and society (Giddens 1994; Castells 1996; Walsham 2001). Over the last few decades, ICTs have shaped many aspects of society, and the specific role that ICTs have played in influencing government and governance structures has received particular attention. Today, the term 'governance' is widely used and accepted amongst a variety of academics and practitioners. However, in recent years the processes by which rural areas are governed have changed remarkably. Many scholars accept the conceptual and theoretical debate concerning the actual and potential impact of ICTs as a powerful force shaping governance (Goodwin 1998; MacKinnon 2002), but few have attempted to support their argument by conducting detailed empirical analyses of the role and influence of ICTs for egovernance processes in rural communities. This thesis addresses this gap by analysing the linkages between ICT access and use in a remote rural area of the UK. The thesis presents an in-depth case study analysis of a rural market town (Hatherleigh) located in west Devon. It examines ICT access and use in Hatherleigh considering that individual levels of ICT adoption are uneven, depending on factors such as age, gender, employment and family composition (Ofcom 2006; Selg and Svensoon 2008). It follows a wider call in the area of rural and ICT studies that many remote rural areas face serious challenges in their efforts to benefit from the opportunities offered by ICTs (Woods 2005; Moseley and Owen 2008). The thesis particularly builds on Okot-Uma's (2001), Millard's (2003) and Odendaal's (2003) work on the impact of ICT on governance and potential changes in service delivery to rural areas. To understand the impact of ICTs on e-governance in rural areas more fully, specific emphasis is placed on how Hatherieigh residents use the internet for accessing on-line information and services and how they use the internet to engage with policy stakeholders within and beyond Hatherleigh. A specific focus is placed on analysing barriers affecting e-governance processes ranging from the local to the national scale. Ill The methodology used to collect empirical data is based on a multi-method approach, including questionnaires, interviews and participant observation to explore interactions between Hatherteigh residents and ICTs. The results suggest that ICT has changed the social landscape of rural communities such as Hatherleigh in terms of communication and job opportunities, and that it plays a key role in reducing feelings of distance and isolation. A key result is that the internet plays an important role for e-governance interactions at the regional/national level, but that it only plays a minor role at the local level. A key explanation for these different 'geographies of ICT use' is that remote mral locations such as Hatherleigh are (still) characterized by relatively close-knit communities where physical face-to-face interaction still plays an important role, thereby reducing the need for internet use to access local information. The study also suggests a typology of non-users in Hatherleigh, suggesting that non-users are a highly differentiated group in which some segments are relatively keen to use ICT in the future, while others continue to staunchly resist using ICTs. The latter are a particularly problematic group as they may be 'doubly' excluded by both living in a remote mral area that has lost some of its services (to some extent because of ICT availability) and by not being interested in using ICTs to overcome such disadvantages.
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Martins, Sérgio Oliveira. "Exploring kubernetes and devOps in an IoT context." Master's thesis, 2019. http://hdl.handle.net/10773/29558.

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Containerized solutions and container orchestration technologies have recently been of great interest to organizations as a way of accelerating both software development and delivery processes. However, adopting these is a rather complex shift that may impact an organization and teams that were already established. This is where development cultures such as DevOps emerge to ease such shift amongst teams, promoting collaboration and automation of development and deployment processes throughout. The purpose of the current dissertation is to illustrate the path that led to the use of DevOps and containerization as means to support the development and deployment of a proof of concept system, Firefighter Sync – an Internet of Things based solution applied to a firefighting monitoring scenario. The goal, besides implementing Firefighter Sync, was to propose and deploy a development and operations ecosystem based on DevOps practices to achieve a full automation pipeline for both the development and operations processes. Firefighter Sync enabled the exploration of such state-of-the-art solutions such as Kubernetes to support container-based deployment and Jenkins for a fully automated CI/CD pipeline. Firefighter Sync clearly illustrates that addressing the development of a system from a DevOps perspective from the very beginning, although it requires an accentuated learning curve due to the large range of concepts and technologies addressed throughout, has illustrated to effectively impact the development process as well as ease the solution for future evolution. A good example is the automation process pipeline, that whilst allowing an easy integration of new features within a DevOps process – implies addressing the development and operations as a whole – it abstracts specific technological concerns turning these transversals to the traditional stages from development to deployment.<br>Soluções de contentores e orquestração de contentores têm vindo a tornar-se de grande interesse para as organizações como uma forma de acelerar os processos de desenvolvimento e entrega de software. No entanto, adotá-las é uma mudança bastante complexa que pode impactar uma organização e equipas já estabelecidas. É aqui que surgem culturas como o DevOps para facilitar essa mudança, promovendo a colaboração e a automação dos processos de desenvolvimento e deployment entre equipas. O objetivo desta dissertação é ilustrar o caminho que levou ao uso de DevOps e à conteinerização de modo a apoiar o desenvolvimento e o deployment de um sistema como prova de conceito, o Firefighter Sync – uma solução baseada na Internet das Coisas aplicada a um cenário de monitorização de combate a incêndios. Além de implementar o Firefighter Sync, o objetivo era também propor e implementar um ecossistema de desenvolvimento e operações com base nas práticas de DevOps para alcançar uma pipeline de automação completa para os processos de desenvolvimento e operações. O Firefighter Sync permitiu explorar soluções que constituem o estado da arte neste contexto, como o Kubernetes para apoiar o deployment baseado em contentores e o Jenkins para suportar a pipeline de CI/CD totalmente automatizada. O Firefighter Sync ilustra claramente que abordar o desenvolvimento de um sistema a partir da perspectiva de DevOps, embora exija uma curva de aprendizagem acentuada devido à grande variedade de conceitos e tecnologias inerentes ao longo do processo, demonstrou tornar mais eficiente o processo de desenvolvimento, bem como facilitar evolução futura. Um exemplo é a pipeline de automação, que permite uma fácil integração de novos recursos dentro de um processo de DevOps – que implica abordar o desenvolvimento e as operações como um todo – abstraindo assim preocupações tecnológicas específicas, transformando essas transversais nas fases tradicionais do desenvolvimento ao deployment.<br>Mestrado em Engenharia Informática
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BENOMAR, ZAKARIA. "A service-oriented architecture for IoT infrastructure and Fog-minded DevOps." Doctoral thesis, 2022. http://hdl.handle.net/11570/3222280.

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The huge and steady growth in terms of the number of distributed devices con- nected to the Internet, the so-called Internet of Things (IoT), calls for newly developed infrastructure management techniques to deal with the complexity of emerging IoT deployments, especially in light of the growing impact of the sharing economy. In this context, most of the management platforms tackle IoT issues from a high level where IoT data is managed using Cloud oriented solutions. In such a scenario, the approach adopted can be categorized under the data-centric approach where IoT devices are considered as simple mere data generators uploading data towards Cloud platforms that provide, afterwards, processed data to the users. In order to challenge this mainstream consensus on the relationship between the Cloud and IoT, what is interesting to investigate is the adoption of the Cloud "as- a-Service" approach from a low level when dealing with IoT infrastructure. Indeed, the as-a-Service paradigm provides well-investigated mechanisms for infrastructure and service provisioning; thus the challenge then is to adapt this approach to fit the management of a dynamic, possibly virtualized, infrastructure of sensing and actuation resources. Cloud providers can extend then their offerings portfolios by providing access to shareable IoT resources according to the utility model using access at the lowest level where possible. Besides providing access to virtualized IoT nodes, an interesting capability to enable is related to computing at the network edge (even on the IoT nodes themselves) to meet the requirements of typical IoT applications, such low processing delays and data privacy. The thesis presents the design and implementation of a set of mechanisms to integrate IoT within the Cloud wisdom. In particular, the approach enables the capa- bility of offering IoT resources (e.g., sensors and actuators) as virtualized resources. Therefore, the virtual IoT instances can take benefits of the resources (e.g., storage, networking and compute) offered by the Cloud, Fog or the edge-based IoT nodes. The premise then lies in engaging the research from a device-centric perspective using the Stack4Things framework.
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Manso, Sérgio Filipe Marques. "Platform to support the development of IoT solutions." Master's thesis, 2019. http://hdl.handle.net/10773/29548.

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The Internet of Things is a fastly growing paradigm that has raised the interest of companies in optimizing their IoT platforms. The establishment of Cloud Computing, together with the evolution of Containerization and Orchestration solutions and the complementarity of the Software Configuration Management, has resulted in an improved design and in an improvement of the way that software solutions are shipped and deployed. Based upon the integration of these technologies, this dissertation proposes a potential solution that helps with the development of new software solutions and their deployment. With this set of technologies, it is possible to introduce new features that were non-existent in traditional deployments. The potential solution brings together services such as Cloud Orchestration and features offered by Container Orchestration and Software Configuration Management for building from scratch, and in an automated way, a platform capable of offering a robust, scalable and dynamic environment for new applications to run.<br>A Internet das Coisas é um paradigma em ascensão que despertou o interesse das empresas na optimização das suas plataformas de IoT. A afirmação do Cloud Computing, aliado à evolução das soluções de Conteinerização e Orquestração e à complementação das ferramentas de Gestão de Configuração de Software, permitiu melhorar a forma como as soluções de software são projetadas e implementadas. Esta dissertação propõe uma possível solução baseada na implementação destas tecnologias, que auxilia o desenvolvimento de novas soluções de software, bem como a sua implementação. Recorrendo a este conjunto de tecnologias, é possível introduzir novas funcionalidades que não existiam em implementações mais antigas. A solução proposta combina serviços como a Orquestração Cloud com as funcionalidades de tecnologias como a Orquestração de containers e ferramentas de Gestão de Configuração de Software para construir de raiz, e de forma automática, uma plataforma capaz de oferecer um ambiente robusto, escalável e dinâmico para que novas soluções de software possam ser desenvolvidas e implementadas.<br>Mestrado em Engenharia de Computadores e Telemática
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Books on the topic "IoT DevOps"

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Kevin, Behr, and Spafford George, eds. The phoenix project: A novel about IT, DevOps, and helping your business win. IT Revolution Press, 2013.

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Ferry, Nicolas, Hui Song, Andreas Metzger, and Erkuden Rios, eds. DevOps for Trustworthy Smart IoT Systems. Now Publishers, 2021. http://dx.doi.org/10.1561/9781680838251.

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Metzger, Andreas, Hui Song, Erkuden Rios, and Nicolas Ferry. DevOps for Trustworthy Smart IoT Systems. Now Publishers, 2021.

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Thakkar, Hiren Kumar, Mayank Swarnkar, and Robin Singh Bhadoria. Predictive Data Security Using AI: Insights and Issues of Blockchain, IoT, and DevOps. Springer, 2023.

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Microservices, IoT and Azure: Leveraging DevOps and Microservice Architecture to deliver SaaS Solutions. Apress, 2015.

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Predictive Data Security Using AI: Insights and Issues of Blockchain, IoT, and DevOps. Springer, 2023.

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Modi, Ritesh. Azure for Architects: Implementing cloud design, DevOps, IoT, and serverless solutions on your public cloud. Packt Publishing, 2017.

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Azure for Architects: Implementing Cloud Design, DevOps, Containers, IoT, and Serverless Solutions on Your Public Cloud. de Gruyter GmbH, Walter, 2019.

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Azure for Architects: Implementing Cloud Design, DevOps, Containers, IoT, and Serverless Solutions on Your Public Cloud, 2nd Edition. Packt Publishing, Limited, 2019.

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The Phoenix Project: A Novel About IT, DevOps, and Helping Your Business Win. IT Revolution Press, 2013.

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Book chapters on the topic "IoT DevOps"

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Slama, Dirk. "Holistic AIoT DevOps." In The Digital Playbook. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-030-88221-1_24.

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AbstractThe introduction of DevOps — together with Continuous Integration/Continuous Delivery (CI/CD) — has fundamentally changed the way software is developed, integrated, tested, and deployed. DevOps and CI/CD are key enablers of agile development. However, today’s DevOps practices predominantly focus on cloud and enterprise application development. For successful AIoT products, DevOps will need to be extended to include AI and IoT (Fig. 27.1).
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Jensen, David. "Azure DevOps for IoT Edge Solutions." In Beginning Azure IoT Edge Computing. Apress, 2019. http://dx.doi.org/10.1007/978-1-4842-4536-1_9.

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Selgert, Franklin. "Cynefin Framework, DevOps and Secure IoT." In Computer Safety, Reliability, and Security. SAFECOMP 2020 Workshops. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-55583-2_19.

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Hagar, Jon Duncan. "Test Approaches and Quality Assessments for IoT Agile/DevOps." In IoT System Testing. Apress, 2022. http://dx.doi.org/10.1007/978-1-4842-8276-2_12.

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Familiar, Bob, and Jeff Barnes. "DevOps Using PowerShell, ARM, and VSTS." In Business in Real-Time Using Azure IoT and Cortana Intelligence Suite. Apress, 2017. http://dx.doi.org/10.1007/978-1-4842-2650-6_2.

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Choudhry, Anurag, and Anshu Premchand. "Microservices and DevOps for Optimal Benefits from IoT in Manufacturing." In Proceedings of International Conference on Recent Trends in Machine Learning, IoT, Smart Cities and Applications. Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-7234-0_33.

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Ganeshan, M., and P. Vigneshwaran. "A Survey on DevOps Techniques Used in Cloud-Based IOT Mashups." In Advances in Intelligent Systems and Computing. Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-8289-9_37.

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Ganeshan, M., and A. Rajesh. "Implementation of DevOps Culture in Customizing Serverless Computing and Function as a Service (FaaS) for IoT Mashup." In ICT Systems and Sustainability. Springer Singapore, 2022. http://dx.doi.org/10.1007/978-981-16-5987-4_38.

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Duque Anton, Simon D., Daniel Fraunholz, Daniel Krohmer, et al. "Creating It from SCRATCh: A Practical Approach for Enhancing the Security of IoT-Systems in a DevOps-Enabled Software Development Environment." In Computer Safety, Reliability, and Security. SAFECOMP 2020 Workshops. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-55583-2_20.

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Chatterjee, Rithik. "Security in DevOps and Automation." In Red Hat and IT Security. Apress, 2020. http://dx.doi.org/10.1007/978-1-4842-6434-8_3.

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Conference papers on the topic "IoT DevOps"

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Khalaifat, Walla, and Fawzi Abdulaziz. "Challenges and Opportunities of DevOps for IoT Systems:DevOps-For-IoT." In 2024 International Conference on Innovation and Intelligence for Informatics, Computing, and Technologies (3ICT). IEEE, 2024. https://doi.org/10.1109/3ict64318.2024.10824302.

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AlSelek, Mohammad, Jose M. Alcaraz-Calero, and Qi Wang. "Agile AI and Firmware Management in IoT: DevOps for Low-Power Microcontroller-Based Platforms." In 2024 9th International Conference on Smart and Sustainable Technologies (SpliTech). IEEE, 2024. http://dx.doi.org/10.23919/splitech61897.2024.10612585.

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Amiri, Amirali, Gernot Steindl, and Wolfgang Kastner. "Model-Based Systems Engineering for the Agile Life-Cycle Management of IIoT Based on DevOps." In 2024 IEEE 29th International Conference on Emerging Technologies and Factory Automation (ETFA). IEEE, 2024. http://dx.doi.org/10.1109/etfa61755.2024.10711004.

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Alcock, Keith M., Keng Goh, Mustehsan Beg, Sonia Melendi-Espina, and Miguel Hernaez. "U-Shape Lossy Mode Resonance Optical Fiber Sensor for Temperature Detection of Lithium-Ion Batteries." In Frontiers in Optics. Optica Publishing Group, 2024. https://doi.org/10.1364/fio.2024.jtu4a.37.

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This study develops a Polyethylenimine/Graphene Oxide thin film-based Lossy Mode Resonance U-shaped optical fiber sensor for lithium-ion battery temperature measurement. The study encourages further development of this device further as it compares well to thermocouples.
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Hollander, O., and G. E. Geiger. "Development of a Corrosion Inhibitor for Low Carbon Steel in Concentrated Solutions of Urea-Ammonium Nitrate Fertilizers." In CORROSION 1988. NACE International, 1988. https://doi.org/10.5006/c1988-88347.

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Abstract Low carbon steel (LCS) exposed to concentrated solutions of urea-ammonium nitrate (UAN) can develop either a fully or a partially passive film. The integrity of the film phase that develops depends primarily on pH and, to a lesser extent, on nitrate ion concentration. Urea interacts synergistically with nitrate in the presence of low-carbon steel; surface adsorption may be the mechanism leading to higher true current densities. Based on this information, an inhibitor was developed that protects the naturally formed passive film from pH depressions.
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Andresen, Peter L., and Lisa M. Young. "Crack Tip Microsampling & Growth Rate Measurements in Low Alloy Steel in High Temperature Water." In CORROSION 1995. NACE International, 1995. https://doi.org/10.5006/c1995-95156.

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Abstract The importance of dissolution of MnS inclusions in environmentally assisted cracking (EAC) of pressure vessel steels in high temperature water is well recognized. However, no direct measurement of the crack tip chemistry that develops during EAC has ever been performed, and only estimates exist for the dissolution rate of MnS and the resulting sulfur levels in the crack. In this manuscript, microsampling of the crack tip solution in A533B low alloy steel (0.013% S) exposed to constant and cyclic loading in 288°C water under various test conditions has been used to obtain direct measurements of the crack tip sulfur concentration, while simultaneously monitoring crack length. A reversing direct current potential drop method was used to continuously monitor crack length. Ion chromatography (IC) and inductively coupled plasma (ICP) were used to measure dissolved sulfur species in the microsampled solutions. Most experiments involved varying the corrosion potential (from = 0.12 to ≈ −0.5 Vshe) by changing the dissolved oxygen concentration between 10 ppm and 0 ppm (nitrogen deaerated) in high purity water. At 10 ppm oxygen, high crack growth rates were observed and the microsampled solutions contained between 1 and 2 ppm sulfur, about 10 times higher than at 0 ppm oxygen, where crack growth rates were low. Measurements of the room temperature solutions showed that most sulfur was present as sulfate, although in the high temperature deaerated water in the crack, MnS undoubtedly dissolves to form HS− and H2S. Decreasing the loading frequency from 10−4 to 10−5 Hz also lowered both the crack growth rate and the crack tip sulfur concentration. Very high microsampling rates effectively flushed the crack tip chemistry, decreasing the crack tip sulfur content and crack growth rate. This research provides a technique for directly determining the effects of MnS inclusion dissolution, corrosion potential, (bulk) solution impurities, solution flow rate, and loading conditions on crack tip chemistry and, in turn, on crack growth rate and thus can contribute significantly to the fundamental understanding of EAC.
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Moore, John, Gerd Kortuem, Andrew Smith, Niaz Chowdhury, Jose Cavero, and Daniel Gooch. "DevOps for the Urban IoT." In Urb-IoT '16: The Second International Conference on IoT in Urban Space. ACM, 2016. http://dx.doi.org/10.1145/2962735.2962747.

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Guseila, Ligia Georgeta, Dragos-Vasile Bratu, and Sorin-Aurel Moraru. "DevOps Transformation for Multi-Cloud IoT Applications." In 2019 International Conference on Sensing and Instrumentation in IoT Era (ISSI). IEEE, 2019. http://dx.doi.org/10.1109/issi47111.2019.9043730.

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Pereira, Igor, Tiago Carneiro, and Eduardo Figueiredo. "Main Differences of DevOps on IoT Systems." In SBES '21: Brazilian Symposium on Software Engineering. ACM, 2021. http://dx.doi.org/10.1145/3474624.3474630.

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Gonnin, Thibaut, Frank Dechavanne, Gérald Rocher, et al. "Actuation Conflict Management Enabler for DevOps in IoT." In IoT '20 Companion: 10th International Conference on the Internet of Things Companion. ACM, 2020. http://dx.doi.org/10.1145/3423423.3423474.

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Reports on the topic "IoT DevOps"

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Corscadden, Louise, and Arpaporn Sutipatanasomboon. What Is Operant Behavior And How To Study It. Maze Engineers, 2022. http://dx.doi.org/10.55157/me2022127.

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Operant behavior describes a type of voluntary goal-directed actions in animals based on the repercussions of previous occurrences. It develops when animals learn to specifically respond to recurring situations based on the outcome of their past experience. American psychologist B.F. Skinner was the first to use operant to describe the behaviors he observed in his landmark experiments in laboratory animals. Operant behavior and conditioning refine the nuance between conscious and unconscious behavioral responses, which influence psychology, and applied behavior analysis, and improve our understanding of addiction, substance dependence, child development, and decision-making.
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Lawson, Adrienn. 2024 State of Tech Talent Report: Survey-based Insights into the Current State of Technical Talent Acquisition, Retention, and Management Globally. The Linux Foundation, 2024. https://doi.org/10.70828/lejn2246.

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LF Research and LF Training &amp; Certification partnered again this year to study trends in the technical talent market, surveying individuals responsible for hiring and training IT professionals. The aim of this research was to understand how technical skill development and organizational strategies are changing in response to emerging technologies and economic challenges, in particular the IT layoffs in 2023 and the growing use of generative AI tools. Key findings from the report indicate that despite headlines, only a minority of companies reduced their technical headcount in 2023. What's more, companies are choosing to prioritize upskilling and cross-skilling over hiring to diversify their staff's skills in strategic domains, such as Cloud, DevOps, cybersecurity, and AI / ML.
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Serebrisky, Tomás, Ancor Suárez-Alemán, Javier Morales Sarriera, and Lourdes Trujillo. When It Comes to Container Port Efficiency, Are All Developing Regions Equal? Inter-American Development Bank, 2015. http://dx.doi.org/10.18235/0011671.

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This paper develops a port productivity and efficiency analysis of all developing regions between 2000 and 2010, using both parametric and nonparametric approaches. From a unique dataset -our sample covers 70 developing countries, 203 ports, and 1,750 data points-, we carry out an analysis of the evolution and drivers of productivity and efficiency changes across developing regions. We show that productivity growth rates between 2000 and 2010 vary significantly and that this heterogeneity is explained by pure efficiency changes rather than scale efficiency of technological changes. Therefore, we carry out a detailed efficiency analysis to determine the drivers of port efficiency. Time series results show an upward trend for port efficiency in developing regions, as it increased from 47 percent in 2000 to 57 percent in 2010. Our analysis indicates that private sector participation, the reduction of corruption in the public sector and improvements in liner connectivity and the existence of multimodal links increase the level of port efficiency in developing regions.
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Korotun, Olha V., Tetiana A. Vakaliuk, and Vladimir N. Soloviev. Model of using cloud-based environment in training databases of future IT specialists. [б. в.], 2020. http://dx.doi.org/10.31812/123456789/3865.

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The authors substantiates and develops the model of using cloud-based environment (CBE) in the training of databases of future information technology (IT) specialists, which consists of interrelated units: target (purpose, task of using CBE), conceptual (pedagogical approaches, didactic principles), organizational and semantic (characteristics of CBE, basic requirements for CBE, subjects of training, CBE of the teacher, CBE of the student, curricula of institution of higher education, educational-methodical complex of discipline “Databases”, installation and configuration of database management system, development of educational material from the database in electronic form, selection of cloud-based systems of distance learning, introduction of cloud-based systems of distance learning in the training of students’ databases, selection of CBE in database training (databases, forms, methods, tools), evaluative (criteria, indicators, levels of professional and practical competence of future IT specialists on the use of CBE in database training), effective (increased formation of the information and communication technologies of future IT specialists on the use of CBE in database training).
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Fedasiuk, Ryan. Chinese Perspectives on AI and Future Military Capabilities. Center for Security and Emerging Technology, 2020. http://dx.doi.org/10.51593/20200022.

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The world is watching how the Chinese military develops and deploys artificial intelligence—but how exactly will it apply AI? This policy brief analyzes Chinese experts’ arguments about AI and prospective warfighting capabilities, identifying prevailing concerns about strategic stability and unintended escalation.
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Héau, Lauriane, and Kolja Brockmann. Intangible Transfers of Technology and Software: Challenges for the Missile Technology Control Regime. Stockholm International Peace Research Institute, 2024. http://dx.doi.org/10.55163/hlwp1722.

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Controlling intangible transfers of technology (ITT) and software—including in the context of the Missile Technology Control regime (MTCR)—is a known challenge, but the growth of the NewSpace industry and advances in emerging technologies make it a particularly timely topic. This report explores a series of cases of export control violations and cases where the risk of a possible violation was identified involving missile-related ITT or software. The report also develops a typology of violations and identifies associated compliance challenges. This paper explores some of the key challenges that emerge from the case studies, including the increasing reliance on ITT and software, which have become easier and more common, by companies in the aerospace and NewSpace sectors and their global supply chains. The paper concludes by offering recommendations for the MTCR to strengthen its efforts to address the proliferation risks posed by ITT and software.
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Ali, Salman. On Setting the Direction of Future Research in Islamic Economics and Finance. Islamic Development Bank Institute, 2021. http://dx.doi.org/10.55780/re24018.

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Ideas generate knowledge, research develops and shapes it. But what we choose to explore is often subjective. Hence it is important what questions we ask and how we formulate them. I want to present six points for what matters in setting the direction of research in Islamic economics and finance. The purpose here is not to create a list of specific topics but to point out the future direction of research, the broader areas, and the future needs of the discipline to carry out a successful and useful research program.
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Palmer. NR199506 Introduction to Limit-State Reliability Based Pipeline Design. Pipeline Research Council International, Inc. (PRCI), 1995. http://dx.doi.org/10.55274/r0011200.

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�The practical objective of this study is to demonstrate to the pipeline industry that the limit-state and reliability based design methods have a sound and respectable basis which has generated genuinely valuable application. This study outlines the history and background to limit-state and reliability-based design, develops a design methodology and then demonstrates it by application to some real pipeline engineering problems. The study highlights the benefits and identifies any limitations in the methodology and discusses how they might be resolved.
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Khan, Sarosh R., and Inder J. Ruprah. To Bind or Not to Bind: A Fiscal Policy Dilemma in the Caribbean. Inter-American Development Bank, 2014. http://dx.doi.org/10.18235/0008450.

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Given that the Caribbean region remains open to external vulnerabilities, fiscal policy is a critical tool in managing debt sustainability. But since fiscal outcomes have been persistently poor in the region, it is important to assess the appropriateness of fiscal rules as a device to impose fiscal discipline. This Policy Brief juxtaposes the historical fiscal outcomes against political outcomes to show that the current system is not functioning. It then develops a case for introducing fiscal rules over time but argues that a slow and deliberate movement to creating and implementing such rules may be the best approach for the Caribbean countries. However, it also points out the introduction of adjustment programs may also represent opportunities to quicken such implementation.
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Zaman, Saeed. A Unified Framework to Estimate Macroeconomic Stars. Federal Reserve Bank of Cleveland, 2024. http://dx.doi.org/10.26509/frbc-wp-202123r2.

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This paper develops a semi-structural model to jointly estimate “stars” — long-run levels of output (its growth rate), the unemployment rate, the real interest rate, productivity growth, price inflation, and wage inflation. It features links between survey expectations and stars, time-variation in macroeconomic relationships, and stochastic volatility. Survey data help discipline stars' estimates and have been crucial in estimating a high-dimensional model since the pandemic. The model has desirable real-time properties, competitive forecasting performance, and superior fit to the data compared to variants without the empirical features mentioned above. The by-products are estimates of various objects of great interest to the broader profession.
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