Academic literature on the topic 'Open Cloud interface'

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Journal articles on the topic "Open Cloud interface"

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Kim, Kwangseob, and Kiwon Lee. "Prototyping of Utilization Model for KOMPSAT-3/3A Analysis Ready Data Based on the Open Data Cube Platform in Multi-Cloud Computing Environment: A Case Study." Applied Sciences 13, no. 18 (2023): 10478. http://dx.doi.org/10.3390/app131810478.

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This study introduces a multi-cloud model that combines private and public cloud services for processing and managing satellite images. The multi-cloud service is established by incorporating private clouds within organizations and integrating them with external public cloud services to utilize the data. Private clouds can maintain data security within an organization or between organizations, while public clouds offer easy processing options for general users with access accounts. The model for the private cloud service utilizes open-source OpenStack software to create virtual machines, allow
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Pinsky, Mark, and Alexander Khain. "Theoretical Analysis of the Entrainment–Mixing Process at Cloud Boundaries. Part II: Motion of Cloud Interface." Journal of the Atmospheric Sciences 76, no. 8 (2019): 2599–616. http://dx.doi.org/10.1175/jas-d-18-0314.1.

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Abstract The entrainment–mixing process leads to formation of a cloud–environment interface zone, consisting of the cloud dilution zone, where the liquid water content decreases as the distance from the cloud interior increases, and a humid shell with higher humidity in comparison with the dry environment. The time evolution of the location and width of these zones is analyzed by solving the diffusion–evaporation equation for the open region in the vicinity of the cloud–dry air interface. Upon normalization, the problem is reduced to a one-parametric one, the governing parameter being the pote
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Park, Jong-Hyuk, Hwa-Young Jeong, Young-Sik Jeong, and Min Choi. "REST-MapReduce: An Integrated Interface but Differentiated Service." Journal of Applied Mathematics 2014 (2014): 1–10. http://dx.doi.org/10.1155/2014/170723.

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With the fast deployment of cloud computing, MapReduce architectures are becoming the major technologies for mobile cloud computing. The concept of MapReduce was first introduced as a novel programming model and implementation for a large set of computing devices. In this research, we propose a novel concept of REST-MapReduce, enabling users to use only the REST interface without using the MapReduce architecture. This approach provides a higher level of abstraction by integration of the two types of access interface, REST API and MapReduce. The motivation of this research stems from the slower
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Logothetis, S., E. Karachaliou, E. Valari, and E. Stylianidis. "OPEN SOURCE CLOUD-BASED TECHNOLOGIES FOR BIM." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-2 (May 30, 2018): 607–14. http://dx.doi.org/10.5194/isprs-archives-xlii-2-607-2018.

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This paper presents a Cloud-based open source system for storing and processing data from a 3D survey approach. More specifically, we provide an online service for viewing, storing and analysing BIM. Cloud technologies were used to develop a web interface as a BIM data centre, which can handle large BIM data using a server. The server can be accessed by many users through various electronic devices anytime and anywhere so they can view online 3D models using browsers. Nowadays, the Cloud computing is engaged progressively in facilitating BIM-based collaboration between the multiple stakeholder
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Sun, Rui Qi, Jie Yang, Zhan Gao, and Zhi Qiang He. "A Framework of Automatic Deployment for Cloud Management Platforms." Applied Mechanics and Materials 631-632 (September 2014): 218–21. http://dx.doi.org/10.4028/www.scientific.net/amm.631-632.218.

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With the widespread adoption of Cloud infrastructure, there are many famous open source Cloud management platforms, but it is not a trivial task to build Infrastructure as a Service Clouds using them. Moreover, during the developing and testing phase, Cloud platforms need to be built frequently. Existing automatic deployment tools require users to have programming skills using high-level programming language. However, many Cloud administrators are not related programming experience. Therefore, they must repeatedly manually deploy the Cloud platforms step by step. In this paper, we propose a vi
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Bello, Sururah Apinke. "A Proposed Criteria for Evaluting Cloud based Systems." INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY 13, no. 3 (2014): 4281–90. http://dx.doi.org/10.24297/ijct.v13i3.2759.

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A number of Cloud Providers have sprung up with different offers ranging from providing instances that looks much like physical hardware to application domain-specific offers. This study intends to propose a set of review criteria to evaluate existing Cloud computing providers to high level information about this emerging way of IT provisioning. Existing Cloud providers in the Iaas, Paas and SaaS were considered using, Architecture, Application Programming Interface, User Interface, Security, Fault tolerance and Scalability, Software implementation, Monitoring, Payment and Performance. This st
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Chen, I.-Cheng, and I.-Ching Hsu. "Open Taiwan Government data recommendation platform using DBpedia and Semantic Web based on cloud computing." International Journal of Web Information Systems 15, no. 2 (2019): 236–54. http://dx.doi.org/10.1108/ijwis-02-2018-0015.

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Purpose In recent years, governments around the world are actively promoting the Open Government Data (OGD) to facilitate reusing open data and developing information applications. Currently, there are more than 35,000 data sets available on the Taiwan OGD website. However, the existing Taiwan OGD website only provides keyword queries and lacks a friendly query interface. This study aims to address these issues by defining a DBpedia cloud computing framework (DCCF) for integrating DBpedia with Semantic Web technologies into Spark cluster cloud computing environment. Design/methodology/approach
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Beier, M. "Antriebsbasierte Automation eröffnet Gestaltungsmöglichkeiten." Konstruktion 68, S1 (2016): 50–52. http://dx.doi.org/10.37544/0720-5953-2016-s1-50.

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Antriebsfunktionen ohne SPS-Programmierung in gewohnter Hochsprachen-Umgebung erstellen und auf beliebigen Betriebssystemen einsetzen: Mit der in Open Core Engineering integrierten Schnittstellentechnologie Open Core Interface for Drives können Entwickler Cloud-Diensten oder Applikationen auf Servern, PCs und Smart Devices direkten Zugriff auf die Antriebe geben (Bild 1).
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Pinsky, Mark, and Alexander Khain. "Theoretical Analysis of the Entrainment–Mixing Process at Cloud Boundaries. Part I: Droplet Size Distributions and Humidity within the Interface Zone." Journal of the Atmospheric Sciences 75, no. 6 (2018): 2049–64. http://dx.doi.org/10.1175/jas-d-17-0308.1.

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Abstract The problem of a complex entrainment–mixing process is analyzed by solving a diffusion–evaporation equation for an open region in the vicinity of the cloud–dry air interface. Upon normalization the problem is reduced to a one-parametric one, the governing parameter being the potential evaporation parameter R proportional to the ratio of saturation deficit in the dry air to the available liquid water content in the cloud air. As distinct from previous multiple studies analyzing mixing within closed adiabatic volumes, we consider a principally nonstationary problem that never leads to a
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Rakitin, Maksim S., Paul Moeller, Robert Nagler, et al. "Sirepo: an open-source cloud-based software interface for X-ray source and optics simulations." Journal of Synchrotron Radiation 25, no. 6 (2018): 1877–92. http://dx.doi.org/10.1107/s1600577518010986.

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Sirepo, a browser-based GUI for X-ray source and optics simulations, is presented. Such calculations can be performed using SRW (Synchrotron Radiation Workshop), which is a physical optics computer code, allowing simulation of entire experimental beamlines using the concept of a `virtual beamline' with accurate treatment of synchrotron radiation generation and propagation through the X-ray optical system. SRW is interfaced with Sirepo by means of a Python application programming interface. Sirepo supports most of the optical elements currently used at beamlines, including recent developments i
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Dissertations / Theses on the topic "Open Cloud interface"

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Medhioub, Houssem. "Architectures et mécanismes de fédération dans les environnements cloud computing et cloud networking." Thesis, Evry, Institut national des télécommunications, 2015. http://www.theses.fr/2015TELE0009/document.

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Présenté dans la littérature comme une nouvelle technologie, le Cloud Computing est devenu incontournable dans la mise en place et la fourniture des services informatiques. Cette thèse s’inscrit dans le contexte de cette nouvelle technologie qui est en mesure de transformer la mise en place, la gestion et l’utilisation des systèmes d’information. L'adoption et la vulgarisation du Cloud ont été ralenties par la jeunesse même des concepts et l'hétérogénéité des solutions existantes. Cette difficulté d'adoption se manifeste par l'absence de standard, l'hétérogénéité des architectures et des API,
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Medhioub, Houssem. "Architectures et mécanismes de fédération dans les environnements cloud computing et cloud networking." Electronic Thesis or Diss., Evry, Institut national des télécommunications, 2015. http://www.theses.fr/2015TELE0009.

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Présenté dans la littérature comme une nouvelle technologie, le Cloud Computing est devenu incontournable dans la mise en place et la fourniture des services informatiques. Cette thèse s’inscrit dans le contexte de cette nouvelle technologie qui est en mesure de transformer la mise en place, la gestion et l’utilisation des systèmes d’information. L'adoption et la vulgarisation du Cloud ont été ralenties par la jeunesse même des concepts et l'hétérogénéité des solutions existantes. Cette difficulté d'adoption se manifeste par l'absence de standard, l'hétérogénéité des architectures et des API,
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Al-Dhuraibi, Yahya. "Flexible framework for elasticity in cloud computing." Thesis, Lille 1, 2018. http://www.theses.fr/2018LIL1I079/document.

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Le Cloud computing a gagné beaucoup de popularité et a reçu beaucoup d'attention des deux mondes, industriel et académique, puisque cela les libère de la charge et le coût de la gestion de centres de données locaux. Toutefois, le principal facteur motivant l'utilisation du Cloud est sa capacité de fournir des ressources en fonction des besoins du client. Ce concept est appelé l’élasticité. Adapter les applications Cloud lors de leur exécution en fonction des variations de la demande est un grand défi. En outre, l'élasticité de Cloud est diverse et hétérogène car elle englobe différentes approc
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Challita, Stéphanie. "Inferring models from cloud APIs and reasoning over them : a tooled and formal approach." Thesis, Lille 1, 2018. http://www.theses.fr/2018LIL1I069/document.

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Avec l’avènement de l’informatique en nuage, différents fournisseurs offrant des services en nuage et des interfaces de programmation d’applications (APIs) hétérogènes sont apparus. Cette hétérogénéité complique la mise en œuvre d’un système de multi-nuages interopérable. Parmi les solutions pour l’interopérabilité de multi-nuages, l’Ingénierie Dirigée par les Modèles (IDM) s’est révélée avantageuse. Cependant, la plupart des solutions IDM existantes pour l’informatique en nuage ne sont pas représentatives des APIs et manquent de formalisation. Pour remédier à ces limitations, je présente dans
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Петренко, Олексій Олексійович. "Cтратегії розвитку сервіс-орієнтованих систем у хмарному середовищі". Doctoral thesis, Київ, 2018. https://ela.kpi.ua/handle/123456789/24435.

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Дисертація присвячена дослідженню необхідних змін в сервіс-орієнтованих технологіях у зв’язку з загальною тенденцією переносу прикладних додатків у хмарне середовище, зокрема, в Європейську відкриту наукову хмару. Досліджені базові відмінності традиційних SOA першого покоління (на основі веб-сервісів з уніфікованими протоколами зв’язку) і хмарних MSA нового покоління (на основі мікросервісів з контейнерами), показані доцільні шляхи їх конвергенції з ціллю забезпечення ефективної віртуалізації хмарних апаратних і системних ресурсів. Для цього рекомендується в SOA переходити на контейнерну взаєм
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Books on the topic "Open Cloud interface"

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author, Chowdhurry Chandan Dutta, ed. OpenStack networking cookbook: Harness the power of OpenStack networking for public and private clouds using 90 hands-on recipes. Packt Publishing, 2015.

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Schimanski, Stefan, and Michael Hausenblas. Programming Kubernetes: Developing Cloud Native Applications. O'Reilly Media, Incorporated, 2019.

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Hausenblas, Michael, and Sébastien Goasguen. Kubernetes Cookbook: Building Cloud Native Applications. O'Reilly Media, 2018.

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Getting Started With Mule Cloud Connect Accelerating Integration With Saas Social Media And Open Apis. O'Reilly Media, 2012.

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OpenStack Swift: Using, Administering, and Developing for Swift Object Storage. O'Reilly Media, 2014.

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Production Ready OpenStack - Recipes for Successful Environments. Packt Publishing, 2015.

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Book chapters on the topic "Open Cloud interface"

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Edmonds, Andrew, Thijs Metsch, and Alexander Papaspyrou. "Open Cloud Computing Interface in Data Management-Related Setups." In Grid and Cloud Database Management. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-20045-8_2.

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Hachinger, Stephan, Martin Golasowski, Jan Martinovič, et al. "Leveraging High-Performance Computing and Cloud Computing with Unified Big-Data Workflows: The LEXIS Project." In Technologies and Applications for Big Data Value. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-78307-5_8.

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AbstractTraditional usage models of Supercomputing centres have been extended by High-Throughput Computing (HTC), High-Performance Data Analytics (HPDA) and Cloud Computing. The complexity of current compute platforms calls for solutions to simplify usage and conveniently orchestrate computing tasks. These enable also non-expert users to efficiently execute Big Data workflows. In this context, the LEXIS project (‘Large-scale EXecution for Industry and Society’, H2020 GA 825532, https://lexis-project.eu) sets up an orchestration platform for compute- and data-intensive workflows. Its main objective is to implement a front-end and interfaces/APIs for distributed data management and workflow orchestration. The platform uses an open-source Identity and Access Management solution and a custom billing system. The data management API allows data ingestion and staging between various infrastructures. The orchestration API allows execution of workflows specified in extended TOSCA. LEXIS uses innovative technologies like YORC and Alien4Cloud for orchestration or iRODS/EUDAT-B2SAFE for data management, accelerated by Burst Buffers. Three pilot use cases from Aeronautics Engineering, Earthquake/Tsunami Analysis, and Weather and Climate Prediction are used to test the services. On the road towards longer-term sustainability, we are expanding this user base and aiming at the immersion of more Supercomputing centres within the platform.
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Eltayeb Elmahal, Anwarelsadat, and Mohammed Mahmoud Ibrahim Musa. "Spatial Cloud Computing Using Google Earth Engine and R Packages." In Geographic Information Systems - Data Science Approach [Working Title]. IntechOpen, 2023. http://dx.doi.org/10.5772/intechopen.1002686.

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Google Earth Engine (GEE) is an open-source spatial cloud computing platform that can be easily accessed through its native application programming interfaces (APIs), which are JavaScript and Python. In this chapter, we will introduce the R package, a non-native GEE API, as a different way to interface with and utilize the extensive statistical and visualization capabilities of the R package through the RGEE library. In addition to the fundamental concepts of spatial cloud computing, the reader will be exposed to the practical side of satellite image processing techniques, which will include, digital image processing and visualizations.
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Massonet, Philippe, Arnaud Michot, Syed Naqvi, Massimo Villari, and Joseph Latanicki. "Securing the External Interfaces of a Federated Infrastructure Cloud." In IT Policy and Ethics. IGI Global, 2013. http://dx.doi.org/10.4018/978-1-4666-2919-6.ch082.

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This chapter describes an open source solution for securing the Claudia service manager and the OpenNebula virtual execution environment manager when combined in a federated RESERVOIR architecture. The security services provide confidentiality, authentication, and integrity by securing the external API. The chapter describes how to integrate the security solution in an open source cloud computing system, how to install it, and provides an illustrative case study showing its potential for the community. The aim of the chapter is to help those who want to build their own secure infrastructure clouds. The open source security code provides mutual authentication between clients and the Claudia service manager, and secures the SMI interface with role based access control. The same security services can also secure the VMI with role based access control and X509 certificates. Finally the federation can be secured by combining an LDAP server to manage the federation and XACML security policies, and using policy matching to guarantee the respect of security policies within the federation.
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Schmitt, Marcelo, and Paulo Meirelles. "Trusting Critical Open Source Components." In Business Models and Strategies for Open Source Projects. IGI Global, 2023. http://dx.doi.org/10.4018/978-1-6684-4785-7.ch006.

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Device drivers are an elementary part of the Linux kernel and comprise roughly 2/3 of the project's lines of code. Even though the fraction of device driver code in a conventional operating system (OS) can vary, some of these components are essential for system functioning. In addition, the Linux kernel is used in a wide range of applications, from cloud service providers to embedded systems and supercomputers. If GNU/Linux systems should be trustworthy to justify running them in those environments, then testing the kernel is fundamental. However, since device drivers are designed to interface with hardware, conventional test approaches may not suit the occasions when devices are unavailable at test time. This raises the question: How are device drivers tested?
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Wahid, Abdul, Mohatesham Pasha Quadri, Ahmad Talha Siddiqui, Mudasir M. Kirmani, and Khaleel Ahmad. "Verifiable Response in Heterogeneous Cloud Storage." In Handbook of Research on Securing Cloud-Based Databases with Biometric Applications. IGI Global, 2015. http://dx.doi.org/10.4018/978-1-4666-6559-0.ch005.

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A Distributed Cloud Storage Provider (DCSP) is used for managing the client's data. However, the platform is vulnerable to security attacks, which results in huge losses of client data. The confidential data in an enterprise system may be illegally accessed through a remote interface provided by a heterogeneous-cloud and archives. The data may be lost or tampered with when it is stored in a storage pool outside the enterprise on a cloud. To achieve reliability, consistency, security, and confidentiality of user information Kerberos Protocol is used. The Kerberos protocol is designed to provide reliable authentication over open and insecure networks. The symmetric-key cryptography is maintained for transaction over the network. In this chapter, a cooperative Key-Distribution Center (KDC) scheme is proposed to support dynamic scalability on multiple storage servers. The results of the research work show that KDC provides effective security properties required by Kerberos protocol to mitigate the impact of various attacks in any cloud.
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Ahuja, Sanjay P., and Neha Soni. "Performance Evaluation of Public IaaS Clouds for Web 2.0 Applications Using CloudStone Benchmark." In Application Development and Design. IGI Global, 2018. http://dx.doi.org/10.4018/978-1-5225-3422-8.ch011.

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Web 2.0 applications have become ubiquitous over the past few years because they provide useful features such as a rich, responsive graphical user interface that supports interactive and dynamic content. Social networking websites, blogs, auctions, online banking, online shopping and video sharing websites are noteworthy examples of Web 2.0 applications. The market for public cloud service providers is growing rapidly, and cloud providers offer an ever-growing list of services. As a result, developers and researchers find it challenging when deciding which public cloud service to use for deploying, experimenting or testing Web 2.0 applications. This study compares the scalability and performance of a social-events calendar application on two Infrastructure as a Service (IaaS) cloud services – Amazon EC2 and HP Cloud. This study captures and compares metrics on three different instance configurations for each cloud service such as the number of concurrent users (load), as well as response time and throughput (performance). Additionally, the total price of the three different instance configurations for each cloud service is calculated and compared. This comparison of the scalability, performance and price metrics provides developers and researchers with an insight into the scalability and performance characteristics of the three instance configurations for each cloud service, which simplifies the process of determining which cloud service and instance configuration to use for deploying their Web 2.0 applications. This study uses CloudStone – an open-source, three-tier web application benchmarking tool that simulates Web 2.0 application activities – as a realistic workload generator and to capture the intended metrics. The comparison of the collected metrics indicates that all of the tested Amazon EC2 instance configurations provide better scalability and lower latency at a lower cost than the respective HP Cloud instance configurations; however, the tested HP Cloud instance configurations provide a greater storage capacity than the Amazon EC2 instance configurations, which is an important consideration for data-intensive Web 2.0 applications.
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Pathinettampadian, Karthikeyan, Nagarani N., Shivani Suvatheka S., and Al Mohamed Bilal A. "A Novel Approach on IoT-Based Natural Disaster Prediction and Early Warning Systems (EWS)." In Utilizing AI and Machine Learning for Natural Disaster Management. IGI Global, 2024. http://dx.doi.org/10.4018/979-8-3693-3362-4.ch011.

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Natural disasters cause significant damage and human losses, emphasizing the need for predictive systems and efficient warning mechanisms. Exploring the potential of an internet of things (IoT)-driven early warning system (EWS) is crucial for detecting and notifying individuals about diverse disasters like earthquakes, floods, tsunamis, and landslides. In a disaster, the device transmits data to the microcontroller, where it undergoes validation and processing using ML algorithms to predict disaster possibilities. Data from edge nodes reaches the cloud via a gateway, with fog nodes filtering and accessing it. After verification, persistent alarming weather conditions trigger a warning alert, conveyed promptly to individuals in disaster-prone regions through diverse communication channels. An IoT-based open-source application with a user-friendly interface continuously monitors parameters like water intensity and rainfall during floods, and ground vibrations for earthquakes. Alerts are generated when parameters exceed set thresholds, providing a cost-effective disaster detection solution with timely alerts to vulnerable communities.
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HADDADOU, Kamel, and Guy PUJOLLE. "Le SDN." In Cloud et Edge Networking. ISTE Group, 2024. http://dx.doi.org/10.51926/iste.9128.ch5.

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Ce chapitre est dévolu à la technologie SDN (Software-Defined Networking). Il décrit le standard développé par l’ONF (Open Network Foundation) qui comporte les 3 couches de l’architecture SDN, application, contrôle et virtualisation. Il introduit également les interfaces nord, sud et est-ouest entre les trois couches de l’architecture de référence.
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Hagos, Desta Haileselassie. "Software-Defined Networking for Scalable Cloud-Based Services to Improve System Performance of Hadoop-Based Big Data Applications." In Web Services. IGI Global, 2019. http://dx.doi.org/10.4018/978-1-5225-7501-6.ch076.

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The rapid growth of Cloud Computing has brought with it major new challenges in the automated manageability, dynamic network reconfiguration, provisioning, scalability and flexibility of virtual networks. OpenFlow-enabled Software-Defined Networking (SDN) alleviates these key challenges through the abstraction of lower level functionality that removes the complexities of the underlying hardware by separating the data and control planes. SDN has an efficient, dynamic, automated network management, higher availability and application provisioning through programmable interfaces which are very critical for flexible and scalable cloud-based services. In this study, the author explores broadly useful open technologies and methodologies for applying an OpenFlow-enabled SDN to scalable cloud-based services and a variety of diverse applications. The approach in this paper introduces new research challenges in the design and implementation of advanced techniques for bringing an SDN-enabled components and big data applications into a cloud environment in a dynamic setting. Some of these challenges become pressing concerns to cloud providers when managing virtual networks and data centers, while others complicate the development and deployment of cloud-hosted applications from the perspective of developers and end users. However, the growing demand for manageable, scalable and flexible clouds necessitates that effective solutions to these challenges be found. Hence, through real-world research validation use cases, this paper aims at exploring useful mechanisms for the role and potential of an OpenFlow-enabled SDN and its direct benefit for scalable cloud-based services. Finally, it demonstrates the impact of an OpenFlow-enabled SDN that fully embraces the opportunities and challenges of cloud infrastructures to improve the system performance of Hadoop-based big data applications by utilizing the network control capabilities of an OpenFlow to solve network congestion.
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Conference papers on the topic "Open Cloud interface"

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Medhioub, Houssem, Bilel Msekni, and Djamal Zeghlache. "OCNI - Open Cloud Networking Interface." In 2013 22nd International Conference on Computer Communication and Networks (ICCCN 2013). IEEE, 2013. http://dx.doi.org/10.1109/icccn.2013.6614161.

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Merle, Philippe, Olivier Barais, Jean Parpaillon, Noel Plouzeau, and Samir Tata. "A Precise Metamodel for Open Cloud Computing Interface." In 2015 IEEE 8th International Conference on Cloud Computing (CLOUD). IEEE, 2015. http://dx.doi.org/10.1109/cloud.2015.117.

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Parák, Boris, Zdeněk Šustr, Michal Kimle, et al. "Evolution of the Open Cloud Computing Interface." In Special Session on Experiences with OCCI. SCITEPRESS - Science and and Technology Publications, 2016. http://dx.doi.org/10.5220/0005934103390346.

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Hassan, Mohamed Ali, Jim Strand, and Per Inge Remmen. "Cloud-Based Software for Automated Well Planning." In Gas & Oil Technology Showcase and Conference. SPE, 2023. http://dx.doi.org/10.2118/214075-ms.

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Abstract The Automatic Well Design workflow presented in this paper is a starting step to achieve Well Construction Autonomy. This workflow made possible through modern "API" based drilling calculation engines hosted on a cloud computing environment. In the Drilling Digitalization Infrastructure, everything will be connected via Open APIs, and Real time Machine-to- Machine Communication. Modern Cloud-Based Applications will enable Engineers, within seconds, to automatically execute complex drilling simulations and calculations This software tool, named WellDesign, is a cloud based single page
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Tsuzuki, Katsuya, Takashi Yamada, and Kensuke Araki. "[Industrial Paper] Performance measurement and finding challenges in using FMUs to perform scenario-based testing in a cloud environment." In Asian Modelica Conference 2022, Tokyo, Japan, November 24-25, 2022. Linköping University Electronic Press, 2022. http://dx.doi.org/10.3384/ecp193130.

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This paper describes the implementation of the scenario-based testing, a test method for autonomous driving software, by coupling a plant model described using MATLAB/Simulink with another plant model provided as Functional Mock-up Unit on a cloud platform. During the implementation of plant models into the cloud environment using the functional mock-up interface, there are problems and countermeasure challenges were identified. In addition, the impacts of integrating multiple models on simulation time by parallelizing test cases are measured.lly and more efficiently. The introduced software i
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Culic, Ioana, and Alexandru Radovici. "OPEN SOURCE TECHNOLOGIES IN TEACHING INTERNET OF THINGS." In eLSE 2017. Carol I National Defence University Publishing House, 2017. http://dx.doi.org/10.12753/2066-026x-17-094.

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Nowadays a major part of the industry is shifting towards the Internet of Things, which implies building systems based on multiple interconnected embedded devices. Due to this, there is a need of engineers who are able to design such systems, enable the communication between the devices, build and deploy applications. As a result, more and more educational institutions are working on introducing IoT classes in their curricula. However, while there are plenty of hardware platforms especially designed for education, there is a lack of software educational tools in this area. This paper describes
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Kumar, Abhilash, Arunkumar Narasimhan, Tharrini Rajendran, and Stéphane Velut. "Digital Twin applications using a cloud native Modelica platform." In Asian Modelica Conference 2022, Tokyo, Japan, November 24-25, 2022. Linköping University Electronic Press, 2022. http://dx.doi.org/10.3384/ecp19368.

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This paper showcases how Modelica technology can be leveraged for real-time applications using a cloud native simulation platform, Modelon Impact. The platform allows for real-time, two-way communication of data, from the IoT connected plant to a physical model and, from the physical model to a dashboard for plant monitoring and control. The communication relies on open standard and REST-API, which makes it possible to implement digital twins for various applications, such as plant monitoring, predictive maintenance, fault isolation or controls. The paper describes a state estimation workflow
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Kumar, Abhilash, Arunkumar Narasimhan, Tharrini Rajendran, and Stéphane Velut. "[Industrial paper] Digital Twin Applications Using a Cloud Native Modelica Platform." In Asian Modelica Conference 2022, Tokyo, Japan, November 24-25, 2022. Linköping University Electronic Press, 2022. http://dx.doi.org/10.3384/ecp19375.

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This paper showcases how Modelica technology can be leveraged for real-time applications using a cloud native simulation platform, Modelon Impact™. The platform allows for real-time, two-way communication of data, from the IoT connected plant to a physical model and, from the physical model to a dashboard for plant monitoring and control. The communication relies on open standards and REST-API, which makes it possible to implement digital twins for various applications, such as plant monitoring, predictive maintenance, fault isolation or controls. The paper describes a state estimation workflo
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Mwansa, Peter Levison. "Cloud Based Open API Applications Delivers Differential Value in Well Planning Efficiency Saving 60% of Well Planning Time." In ADIPEC. SPE, 2023. http://dx.doi.org/10.2118/216766-ms.

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Abstract As part of ADNOC Onshore's aim to standardize and improve well planning efficiency and standardize, a Digital Well Technology Piloting Agreement (TPA) was signed to test cloud based open application programming interface (API) aware well planning software. ADNOC Onshore engineers currently perform well planning and design in multiple legacy applications, requiring them to move the inputs and outputs from one place to another manually. For example, the well targets are identified by a different team in a service provider platform tool. The trajectory is then planned using a different v
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Taibi, Davide, Giovanni Fulantelli, and Marco Arrigo. "EXPLOITING LINKED OPEN DATA FOR SUPPORTING MOBILE LEARNING EXPERIENCES." In eLSE 2014. Editura Universitatii Nationale de Aparare "Carol I", 2014. http://dx.doi.org/10.12753/2066-026x-14-134.

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In this paper we present MeLOD, a mobile learning environment which exploits the huge amount of dataset in the Linked Open Data (LOD) cloud to provide contextualized and updated information based on students' location. The position of the student, sent by the mobile device, is used to interlink Geonames, DBpedia and Europeana datasets in order to provide information about all the cultural heritage sites close to the student. One of the advantages of using LOD datasets as the knowledge base (KB) of the system, is that new datasets can be easily interconnected to the existing KB. From a pedagogi
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Reports on the topic "Open Cloud interface"

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Valko, Nataliia V., Nataliya O. Kushnir, and Viacheslav V. Osadchyi. Cloud technologies for STEM education. [б. в.], 2020. http://dx.doi.org/10.31812/123456789/3882.

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Cloud technologies being used in STEM education for providing robotics studying are highlighted in this article. Developing cloud robotic systems have not been used to their fullest degree in education but are applied by limited specialists’ number. Advantages given by cloud robotics (an access to big data, open systems, open environments development) lead to work with mentioned systems interfaces improving and having them more accessible. The potential represented by these technologies make them worth being shown to the majority of teachers. Benefits of cloud technologies for robotics and aut
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