Relevant bibliographies by topics / Cloud infrastructure

Contents

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

Academic literature on the topic 'Cloud infrastructure'

Author: Grafiati
Published: 4 June 2021
Last updated: 31 May 2022

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Journal articles on the topic "Cloud infrastructure"

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Oleksyuk, Vasyl P. "ПРОЕКТУВАННЯ МОДЕЛІ ХМАРНОЇ ІНФРАСТРУКТУРИ ВНЗ НА ОСНОВІ ПЛАТФОРМИ APACHE CLOUDSTACK." Information Technologies and Learning Tools 54, no. 4 (September 30, 2016): 153. http://dx.doi.org/10.33407/itlt.v54i4.1453.

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This paper describes the problems of using cloud computing in education. In the article it has been investigated the concept of cloud infrastructure in higher educational institutions. The model of cloudy infrastructure is offered. The hybrid model is most recent for higher educational institution. Conceptual provisions (technical and methodical) of designing of cloud are formulated. Described experience of deployment corporate clouds on the basis of the Apache CloudStack platform. The diagram of the organization of physical components of cloudy infrastructure (a hypervisor, physical and virtual area networks, routers, the domain controller, the VPN server) is provided.
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Korenkov, V. V., N. A. Kutovskiy, N. A. Balashov, A. V. Baranov, and R. N. Semenov. "JINR Cloud Infrastructure." Procedia Computer Science 66 (2015): 574–83. http://dx.doi.org/10.1016/j.procs.2015.11.065.

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Mazhitova, Yelena, Nikita Balashov, Aleksandr Baranov, Nikolay Kutovskiy, Roman Semenov, and Boris Potapchuk. "Cloud infrastructure of INP’S Astana branch - PE “NULITS” and its integration with distributed JINR cloud infrastructure." EPJ Web of Conferences 201 (2019): 05003. http://dx.doi.org/10.1051/epjconf/201920105003.

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The article describes the Institute of Nuclear Physics’ (INP) Astana branch - private establishments “Nazarbayev University Library and IT services” (PE NULITS) cloud and its integration with the distributed cloud infrastructure consisting of the Laboratory of Information Technologies of the Joint Institute for Nuclear Research (JINR) cloud as well as clouds of some JINR Member State organizations. It explains a motivation of that work, an approach it is based on, working plan of the integration.
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MORIN, CHRISTINE, YVON JÉGOU, JÉRÔME GALLARD, and PIERRE RITEAU. "CLOUDS: A NEW PLAYGROUND FOR THE XTREEMOS GRID OPERATING SYSTEM." Parallel Processing Letters 19, no. 03 (September 2009): 435–49. http://dx.doi.org/10.1142/s0129626409000328.

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The emerging cloud computing model has recently gained a lot of interest both from commercial companies and from the research community. XtreemOS is a distributed operating system for large-scale wide-area dynamic infrastructures spanning multiple administrative domains. XtreemOS, which is based on the Linux operating system, has been designed as a Grid operating system providing native support for virtual organizations. In this paper, we discuss the positioning of XtreemOS technologies with regard to cloud computing. More specifically, we investigate a scenario where XtreemOS could help users take full advantage of clouds in a global environment including their own resources and cloud resources. We also discuss how the XtreemOS system could be used by cloud service providers to manage their underlying infrastructure. This study shows that the XtreemOS distributed operating system is a highly relevant technology in the new era of cloud computing where future clouds seamlessly span multiple bare hardware providers and where customers extend their IT infrastructure by provisioning resources from different cloud service providers.
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Gupta, Punit, and Deepika Agrawal. "Trusted Cloud Platform for Cloud Infrastructure." INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY 10, no. 8 (August 30, 2013): 1884–91. http://dx.doi.org/10.24297/ijct.v10i8.1473.

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Reliability and trust Models are used to enhance secure , reliable scheduling , load balancing and QoS in cloud and Distributed environment. Trust models that are being used in Distributed and Grid environment, does not qualify cloud computing environment requirements. Since the parameters that have being taken into consideration in these trust models, does not fit in the cloud Infrastructure As A Service, a suitable trust model is proposed based on the existing model that is suitable for trust value management for the cloud IaaS parameters. Based on the above achieved trust values, trust based scheduling and load balancing is done for better allocation of resources and enhancing the QOS of services been provided to the users. In this paper, an trust based cloud computing framework is proposed using trust model ,trust based scheduling and load balancing algorithms. Here we describe the design and development of trusted Cloud service model for cloud Infrastructure as a service (IaaS) known as VimCloud .VimCloud an open source cloud computing framework that implements the tusted Cloud Service Model and trust based scheduling and load balancing algorithm . However one of the major issues in cloud IaaS is to ensure reliability and security or used data and computation. Trusted cloud service model ensures that user virual machine executes only on trusted cloud node, whose integrity and reliability is known in term of trust value . VimCloud shown practical in term of performace which is better then existing models.
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Thandeeswaran, R., S. Subhashini, N. Jeyanthi, and M. A. Saleem Durai. "Secured Multi-Cloud Virtual Infrastructure with Improved Performance." Cybernetics and Information Technologies 12, no. 2 (June 1, 2012): 11–22. http://dx.doi.org/10.2478/cait-2012-0009.

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Abstract Cloud computing is a model where software applications and computing resources are accessed over Internet with minimal cost and effort by interacting with the service provider. Along with these benefits there are also some significant security concerns that need to be addressed for handling sensitive data and critical applications. The simultaneous use of multiple clouds can provide several potential benefits, such as high availability, fault tolerance and reduced infrastructural cost. The model proposed which is the implementation of a secured multi-cloud virtual infrastructure consists of a grid engine on top of the multi-cloud infrastructure to distribute the task among the worker nodes that are supplied with various resources from different clouds to enhance cost efficiency of the infrastructure set up and also to implement high availability feature. The Oracle grid engine is used to schedule the jobs to the worker nodes (in-house and cloud). Worker nodes will be acting like listeners to receive the job from the oracle grid engine master node. High security is provided at this point for data using AES algorithm and also a password protection key for privileged user’s access. Performance analysis, cost analysis and cost-performance ratio analysis are done by comparing different cluster configurations.
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Sitaram, Dinkar, H. L. Phalachandra, Anush Vishwanath, Pramod Ramesh, Meghana Prashanth, Akshay G. Joshi, Anoop R. Desai, et al. "Security Infrastructure for Hybrid Clouds and Cloud Federation." Journal of Internet Technology and Secured Transaction 3, no. 2 (June 1, 2014): 263–70. http://dx.doi.org/10.20533/jitst.2046.3723.2014.0034.

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Baranov, A. V., N. A. Balashov, Nikolay A. Kutovskiy, and R. N. Semenov. "Cloud Infrastructure at JINR." Computer Research and Modeling 7, no. 3 (June 2015): 463–67. http://dx.doi.org/10.20537/2076-7633-2015-7-3-463-467.

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Baranov, A. V., N. A. Balashov, N. A. Kutovskiy, and R. N. Semenov. "JINR cloud infrastructure evolution." Physics of Particles and Nuclei Letters 13, no. 5 (September 2016): 672–75. http://dx.doi.org/10.1134/s1547477116050071.

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Zheng, Wanbo, Yuandou Wang, Yunni Xia, Quanwang Wu, Lei Wu, Kunyin Guo, Weiling Li, Xin Luo, and Qingsheng Zhu. "On dynamic performance estimation of fault-prone Infrastructure-as-a-Service clouds." International Journal of Distributed Sensor Networks 13, no. 7 (July 2017): 155014771771851. http://dx.doi.org/10.1177/1550147717718514.

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The cloud computing paradigm enables elastic resources to be scaled at run time satisfy customers’ demand. Cloud computing provisions on-demand service to users based on a pay-as-you-go manner. This novel paradigm enables cloud users or tenant users to afford computational resources in the form of virtual machines as utilities, just like electricity, instead of paying for and building computing infrastructures by their own. Performance usually specified through service level agreement performance commitment of clouds is one of key research challenges and draws great research interests. Thus, performance issues of cloud infrastructures have been receiving considerable interest by both researchers and practitioners as a prominent activity for improving cloud quality. This work develops an analytical approach to dynamic performance modeling and trend prediction of fault-prone Infrastructure-as-a-Service clouds. The proposed analytical approach is based on a time-series and stochastic-process-based model. It is capable of predicting the expected system responsiveness and request rejection rate under variable load intensities, fault frequencies, multiplexing abilities, and instantiation processing times. A comparative study between theoretical and measured performance results through a real-world campus cloud is carried out to prove the correctness and accuracy of the proposed prediction approach.
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Dissertations / Theses on the topic "Cloud infrastructure"

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Ha, Kiryong. "System Infrastructure for Mobile-Cloud Convergence." Research Showcase @ CMU, 2016. http://repository.cmu.edu/dissertations/704.

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The convergence of mobile computing and cloud computing enables new mobile applications that are both resource-intensive and interactive. For these applications, end-to-end network bandwidth and latency matter greatly when cloud resources are used to augment the computational power and battery life of a mobile device. This dissertation designs and implements a new architectural element called a cloudlet, that arises from the convergence of mobile computing and cloud computing. Cloudlets represent the middle tier of a 3-tier hierarchy, mobile device — cloudlet—cloud, to achieve the right balance between cloud consolidation and network responsiveness. We first present quantitative evidence that shows cloud location can affect the performance of mobile applications and cloud consolidation. We then describe an architectural solution using cloudlets that are a seamless extension of todays cloud computing infrastructure. Finally, we define minimal functionalities that cloudlets must offer above/beyond standard cloud computing, and address corresponding technical challenges.
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Baig, Viñas Roger. "Development and management of collective network and cloud computing infrastructures." Doctoral thesis, Universitat Politècnica de Catalunya, 2019. http://hdl.handle.net/10803/667952.

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In the search and development of more participatory models for infrastructure development and management, in this dissertation, we investigate models for the financing, deployment, and operation of network and cloud computing infrastructures. Our main concern is to overcome the inherent exclusion in participation in the processes of development and management and in the right of use in the current dominant models. Our work starts by studying in detail the model of Guifi.net, a successful bottom-up initiative for building network infrastructure, generally referred to as a community networks. We pay special attention to its governance system and economic organisation because we argue that these are the key components of the success of this initiative. Then, we generalise our findings for any community network, aiming at becoming sustainable and scalable, and we explore the suitability of the Guifi.net model to the cloud computing infrastructure. As a result of both, we coin the attribute extensible to refer to infrastructure that is relatively easy to expand and maintain in contrast to those naturally limited or hard to expand, such as natural resources or highly complex or advanced artificial systems. We conclude proposing a generic model which, in our opinion, is suitable, at least, for managing extensible infrastructure. The Guifi.net model is deeply rooted in the commons; thus, the research in this field, in general, and Elinor Ostrom’s work, in particular, have left a profound imprint in our work. Our results show that the \guifinet model meets almost entirely the principles of long-enduring commons identified by E. Ostrom. This work has been developed as an industrial doctorate. As such, it combines academic research with elements of practice and pursues an effective knowledge transfer between academia and the private sector. Given that the private sector’s partner is a not-for-profit organisation, the effort to create social value has prevailed over the ambition to advance the development of a specific industrial product or particular technology.
En la recerca i desenvolupament de models més participatius per al desenvolupament i gestió d'infraestructura, en aquesta tesi investiguem sobre models per al finançament, desplegament i operació d'infraestructures de xarxa i de computació al núvol. La nostra preocupació principal és fer front a l’exclusió inherent dels models dominants actualment pel que fa a la participació en els processos de desenvolupament i gestió i, també, als drets d’us. El nostre treball comença amb un estudi detallat del model de Guifi.net, un cas d'èxit d'iniciativa ciutadana en la construcció d'infraestructura de xarxa, iniciatives que es coneixen com a xarxes comunitàries. En fer-ho, parem una atenció especial al sistema de governança i a l’organització econòmica perquè pensem que són els dos elements claus de l'èxit d'aquesta iniciativa. Tot seguit passem a analitzar d'altres xarxes comunitàries per abundar en la comprensió dels factors determinants per a la seva sostenibilitat i escalabilitat. Després ampliem el nostre estudi analitzant la capacitat i el comportament del model de Guifi.net en el camp de les infraestructures de computació al núvol. A resultes d'aquests estudis, proposem l'atribut extensible per a descriure aquelles infraestructures que són relativament fàcil d'ampliar i gestionar, en contraposició a les que o bé estan limitades de forma natural o be són difícils d'ampliar, com ara els recursos naturals o els sistemes artificials avançats o complexos. Finalitzem aquest treball fent una proposta de model genèric que pensem que és d'aplicabilitat, com a mínim, a tot tipus d'infraestructura extensible. El model de Guifi.net està fortament vinculat als bens comuns. És per això que la recerca en aquest àmbit, en general, i els treballs de Elinor Ostrom en particular, han deixat una forta empremta en el nostre treball. Els resultats que hem obtingut mostren que el model Guifi.net s'ajusta molt bé als principis que segons Ostrom han de complir els béns comuns per ser sostenibles. Aquest treball s'ha desenvolupat com a doctorat industrial. Com a tal, combina la investigació acadèmica amb elements de practica i persegueix una transferència efectiva de coneixement entre l'àmbit acadèmic i el sector privat. Ates que el soci del sector privat és una organització sense ànim de lucre, l’esforç per crear valor social ha prevalgut en l’ambició d’avançar en el desenvolupament d'un producte industrial específic o d'una tecnologia particular
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Suriano, Francesco. "Cloud Computing: From Containerization to Infrastructure Provisioning." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2019. http://amslaurea.unibo.it/18504/.

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L'elaborato tratta argomenti relativi al cloud computing, in particolare delle tecniche di containerizzazione, orchestrazione e gestione dell'infrastruttura. Sono presentati e confrontati diversi strumenti per risolvere questi tipi di problemi. Lo studio e la scelta di un determinato strumento è stata fatta tenendo conto di esigenze reali di Kopjra, azienda in cui è stato svolto il tirocinio curricolare.
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Tran, Khanh-Toan. "Efficient complex service deployment in cloud infrastructure." Thesis, Evry-Val d'Essonne, 2013. http://www.theses.fr/2012EVRY0038/document.

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Le but du travail réalisé dans cette thèse est de fournir aux fournisseurs de services une solution qui est capable de non seulement déployer les services dans le cloud de façon économique, automatique, mais aussi à grande échelle. La première contribution traite le problème de la construction d’un nouveau service demandé par le client à partir de services disponibles dans le cloud de manière à satisfaire les exigences en termes de qualité de service ainsi qu’en termes de coût. Nous présentons ce problème par un modèle analytique et proposons un algorithme heuristique dont la performance est améliorée de 20-30% par rapport aux autres approches. La seconde contribution est une solution pour déployer les services dans le cloud en considérant les demandes des utilisateurs finaux. Pour assurer qualité de services dans une grande échelle, le service demandé est dupliqué et distribué dans le réseau; chacun de ses réplicas servira les utilisateurs à proximité. Le plan d’approvisionnement selon lequel le service est dupliqué dépend de sa demande, ce qui ne cesse pas de changer en quantité ainsi qu’en distribution, ce qui rend le problème plus compliqué. Nous proposons une solution qui est capable de s’adapter aux changements dans le réseau, y compris ceux des demandes de ses utilisateurs. Enfin, nous proposons un système basé sur OpenStack qui permet de déployer les services complexes dans un cloud qui couvre différente locations (cloud multi-site). A partir d’une demande du client, le système automatiquement calcule le plan d’approvisionnement optimal et le déploie en respectant les contraintes du client
The purpose of the work in this thesis is to provide the Service Provider a solution which is capable of deploying complex services in a cloud automatically and cost-effectively. The first contribution allows the Service Provider to construct complex services requested by the clients from basic services at his disposal. The construction must be efficient in terms of execution time and operation cost while respecting the client’s constraints. We present an analytic model for this problem and propose a heuristic solution which performance is 20-30% better than other approaches. The second contribution solves the problem of deploying the services while considering end-users’ demands. To ensure the quality of services provided to end-users, not only one instance but a set of service replicas is deployed in the network. How the service is duplicated and distributed depends on the demands of its end-users that change constantly in quantity as well as distribution, which complicates the problem. Thus the provisioning mechanism has to be capable of adapt to the change in the network, including the change in end-users’ demands. Our third contribution is a system using OpenStack which allows Service Provider to deploy complex services in a cloud that spans over different locations (multi-site cloud). Given a client’s request, the system automatically calculates the optimal provisioning plan and deploys it while respecting the client’s constraints
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Su, Xueyuan. "Efficient Fault-Tolerant Infrastructure for Cloud Computing." Thesis, Yale University, 2014. http://pqdtopen.proquest.com/#viewpdf?dispub=3578459.

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Cloud computing is playing a vital role for processing big data. The infrastructure is built on top of large-scale clusters of commodity machines. It is very challenging to properly manage the hardware resources in order to utilize them effectively and to cope with the inevitable failures that will arise with such a large collection of hardware. In this thesis, task assignment and checkpoint placement for cloud computing infrastructure are studied.

As data locality is critical in determining the cost of running a task on a specific machine, how tasks are assigned to machines has a big impact on job completion time. An idealized abstract model is presented for a popular cloud computing platform called Hadoop. Although Hadoop task assignment (HTA) is [special characters omitted]-hard, an algorithm is presented with only an additive approximation gap. Connection is established between the HTA problem and the minimum makespan scheduling problem under the restricted assignment model. A new competitive ratio bound for the online GREEDY algorithm is obtained.

Checkpoints allow recovery of long-running jobs from failures. Checkpoints themselves might fail. The effect of checkpoint failures on job completion time is investigated. The sum of task success probability and checkpoint reliability greatly affects job completion time. When possible checkpoint placements are constrained, retaining only the most recent Ω(log n) possible checkpoints has at most a constant factor penalty. When task failures follow the Poisson distribution, two symmetries for non-equidistant placements are proved and a first order approximation to optimum placement interval is generalized.

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Pech, David. "Cloud Framework on Infrastructure as a Service." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2013. http://www.nusl.cz/ntk/nusl-236185.

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Práce se zabývá podrobnou analýzou požadavků na moderní aplikační rámec pro prostředí cloud. Za pomoci standardních návrhových vzorů a technik připravuje teoretický základ a pravidla, která musí uvnitř rámce platit. V práci je realizována referenční implementace a připravena demonstrační aplikace středního rozsahu, aby představila výhody plynoucí z užití frameworku.
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Fehse, Carsten. "Infrastructure suitability assessment modeling for cloud computing solutions." Thesis, Monterey, California. Naval Postgraduate School, 2011. http://hdl.handle.net/10945/5580.

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Approved for public release; distribution is unlimited
Maturing virtualization in information technology systems has enabled increased implementations of the cloud com-puting paradigm, dissolving the need to co-locate user and computing power by providing desired services through the network. This thesis researches the support that current network modeling and simulation applications can provide to IT projects in planning, implementing and maintaining networks for cloud solutions. A problem-appropriate do-main model and subsequent requirements are developed for the assessment of several network modeling and simula-tion tools, which leads to the identification of a capability gap precluding the use of such tools in early stages of cloud computing projects. Consequently, a practical, modular designed methodology is proposed to measure the essential properties necessary for developing appropriate cloud computing network traffic models. The conducted proof-of-concept experiment applied to a virtual desktop environment finds the proposed methodology suitable and problem-appropriate, and results in recommended steps to close the identified capability gap.
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Younis, Y. A. "Securing access to cloud computing for critical infrastructure." Thesis, Liverpool John Moores University, 2015. http://researchonline.ljmu.ac.uk/4453/.

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Cloud computing offers cost effective services on-demand which encourage critical infrastructure providers to consider migrating to the cloud. Critical infrastructures are considered as a backbone of modern societies such as power plants and water. Information in cloud computing is likely to be shared among different entities, which could have various degrees of sensitivity. This requires robust isolation and access control mechanisms. Although various access control models and policies have been developed, they cannot fulfil requirements for a cloud based access control system. The reason is that cloud computing has a diverse sets of security requirements and unique security challenges such as multi-tenant and heterogeneity of security policies, rules and domains. This thesis provides a detailed study of cloud computing security challenges and threats, which were used to identify security requirements for various critical infrastructure providers. We found that an access control system is a crucial security requirement for the surveyed critical infrastructure providers. Furthermore, the requirement analysis was used to propose a new criteria to evaluate access control systems for cloud computing. Moreover, this work presents a new cloud based access control model to meet the identified cloud access control requirements. The model does not only ensure the secure sharing of resources among potential untrusted tenants, but also has the capacity to support different access permissions for the same cloud user. Our focused in the proposed model is the lack of data isolation in lower levels (CPU caches), which could lead to bypass access control models to gain some sensitive information by using cache side-channel attacks. Therefore, the thesis investigates various real attack scenarios and the gaps in existing mitigation approaches. It presents a new Prime and Probe cache side-channel attack, which can give detailed information about addresses accessed by a virtual machine with no need for any information about cache sets accessed by the virtual machine. The design, implementation and evaluation of a proposed solution preventing cache side-channel attacks are also presented in the thesis. It is a new lightweight solution, which introduces very low overhead (less than 15,000 CPU cycles). It can be applied in any operating system and prevents cache side-channel attacks in cloud computing. The thesis also presents a new detecting cache side-channel attacks solution. It focuses on the infrastructure used to host cloud computing tenants by counting cache misses caused by a virtual machine. The detection solutions has 0% false negative and 15% false positive.
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Mechtri, Marouen. "Virtual networked infrastructure provisioning in distributed cloud environments." Thesis, Evry, Institut national des télécommunications, 2014. http://www.theses.fr/2014TELE0028/document.

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L'informatique en nuage (Cloud Computing) a émergé comme un nouveau paradigme pour offrir des ressources informatiques à la demande et pour externaliser des infrastructures logicielles et matérielles. Le Cloud Computing est rapidement et fondamentalement en train de révolutionner la façon dont les services informatiques sont mis à disposition et gérés. Ces services peuvent être demandés à partir d’un ou plusieurs fournisseurs de Cloud d’où le besoin de la mise en réseau entre les composants des services informatiques distribués dans des emplacements géographiquement répartis. Les utilisateurs du Cloud veulent aussi déployer et instancier facilement leurs ressources entre les différentes plateformes hétérogènes de Cloud Computing. Les fournisseurs de Cloud assurent la mise à disposition des ressources de calcul sous forme des machines virtuelles à leurs utilisateurs. Par contre, ces clients veulent aussi la mise en réseau entre leurs ressources virtuelles. En plus, ils veulent non seulement contrôler et gérer leurs applications, mais aussi contrôler la connectivité réseau et déployer des fonctions et des services de réseaux complexes dans leurs infrastructures virtuelles dédiées. Les besoins des utilisateurs avaient évolué au-delà d'avoir une simple machine virtuelle à l'acquisition de ressources et de services virtuels complexes, flexibles, élastiques et intelligents. L'objectif de cette thèse est de permettre le placement et l’instanciation des ressources complexes dans des infrastructures de Cloud distribués tout en permettant aux utilisateurs le contrôle et la gestion de leurs ressources. En plus, notre objectif est d'assurer la convergence entre les services de cloud et de réseau. Pour atteindre cela, nous proposons des algorithmes de mapping d’infrastructures virtuelles dans les centres de données et dans le réseau tout en respectant les exigences des utilisateurs. Avec l'apparition du Cloud Computing, les réseaux traditionnels sont étendus et renforcés avec des réseaux logiciels reposant sur la virtualisation des ressources et des fonctions réseaux. En plus, le nouveau paradigme d'architecture réseau (Software Defined Networks) est particulièrement pertinent car il vise à offrir la programmation du réseau et à découpler, dans un équipement réseau, la partie plan de données de la partie plan de contrôle. Dans ce contexte, la première partie propose des algorithmes optimaux (exacts) et heuristiques de placement pour trouver le meilleur mapping entre les demandes des utilisateurs et les infrastructures sous-jacentes, tout en respectant les exigences exprimées dans les demandes. Cela inclut des contraintes de localisation permettant de placer une partie des ressources virtuelles dans le même nœud physique. Ces contraintes assurent aussi le placement des ressources dans des nœuds distincts. Les algorithmes proposés assurent le placement simultané des nœuds et des liens virtuels sur l’infrastructure physique. Nous avons proposé aussi un algorithme heuristique afin d’accélérer le temps de résolution et de réduire la complexité du problème. L'approche proposée se base sur la technique de décomposition des graphes et la technique de couplage des graphes bipartis. Dans la troisième partie, nous proposons un cadriciel open source (framework) permettant d’assurer la mise en réseau dynamique entre des ressources Cloud distribués et l’instanciation des fonctions réseau dans l’infrastructure virtuelle de l’utilisateur. Ce cadriciel permettra de déployer et d’activer les composants réseaux afin de mettre en place les demandes des utilisateurs. Cette solution se base sur un gestionnaire des ressources réseaux "Cloud Network Gateway Manager" et des passerelles logicielles permettant d’établir la connectivité dynamique et à la demande entre des ressources cloud et réseau. Le CNG-Manager offre le contrôle de la partie réseau et prend en charge le déploiement des fonctions réseau nécessaires dans l'infrastructure virtuelle des utilisateurs
Cloud computing emerged as a new paradigm for on-demand provisioning of IT resources and for infrastructure externalization and is rapidly and fundamentally revolutionizing the way IT is delivered and managed. The resulting incremental Cloud adoption is fostering to some extent cloud providers cooperation and increasing the needs of tenants and the complexity of their demands. Tenants need to network their distributed and geographically spread cloud resources and services. They also want to easily accomplish their deployments and instantiations across heterogeneous cloud platforms. Traditional cloud providers focus on compute resources provisioning and offer mostly virtual machines to tenants and cloud services consumers who actually expect full-fledged (complete) networking of their virtual and dedicated resources. They not only want to control and manage their applications but also control connectivity to easily deploy complex network functions and services in their dedicated virtual infrastructures. The needs of users are thus growing beyond the simple provisioning of virtual machines to the acquisition of complex, flexible, elastic and intelligent virtual resources and services. The goal of this thesis is to enable the provisioning and instantiation of this type of more complex resources while empowering tenants with control and management capabilities and to enable the convergence of cloud and network services. To reach these goals, the thesis proposes mapping algorithms for optimized in-data center and in-network resources hosting according to the tenants' virtual infrastructures requests. In parallel to the apparition of cloud services, traditional networks are being extended and enhanced with software networks relying on the virtualization of network resources and functions especially through network resources and functions virtualization. Software Defined Networks are especially relevant as they decouple network control and data forwarding and provide the needed network programmability and system and network management capabilities. In such a context, the first part proposes optimal (exact) and heuristic placement algorithms to find the best mapping between the tenants' requests and the hosting infrastructures while respecting the objectives expressed in the demands. This includes localization constraints to place some of the virtual resources and services in the same host and to distribute other resources in distinct hosts. The proposed algorithms achieve simultaneous node (host) and link (connection) mappings. A heuristic algorithm is proposed to address the poor scalability and high complexity of the exact solution(s). The heuristic scales much better and is several orders of magnitude more efficient in terms of convergence time towards near optimal and optimal solutions. This is achieved by reducing complexity of the mapping process using topological patterns to map virtual graph requests to physical graphs representing respectively the tenants' requests and the providers' physical infrastructures. The proposed approach relies on graph decomposition into topology patterns and bipartite graphs matching techniques. The third part propose an open source Cloud Networking framework to achieve cloud and network resources provisioning and instantiation in order to respectively host and activate the tenants' virtual resources and services. This framework enables and facilitates dynamic networking of distributed cloud services and applications. This solution relies on a Cloud Network Gateway Manager and gateways to establish dynamic connectivity between cloud and network resources. The CNG-Manager provides the application networking control and supports the deployment of the needed underlying network functions in the tenant desired infrastructure (or slice since the physical infrastructure is shared by multiple tenants with each tenant receiving a dedicated and isolated portion/share of the physical resources)
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Liberman, García Ari. "The evolution of the Cloud : the work, progress and outlook of cloud infrastructure." Thesis, Massachusetts Institute of Technology, 2015. http://hdl.handle.net/1721.1/100311.

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Thesis: S.M. in Engineering and Management, Massachusetts Institute of Technology, Engineering Systems Division, System Design and Management Program, 2015.
This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.
Cataloged from student-submitted PDF version of thesis.
Includes bibliographical references (pages 59-61).
Cloud computing has enabled the deployment of systems at scale without requiring deep expertise in infrastructure management or highly specialized personnel. In just a few years, cloud computing has become one of the fastest growing technology segments in the Information Technology industry and it has transformed how applications are created and how companies they manage their growth. The cloud market has quickly become one of the most competitive industries with companies committing their efforts to the creation of cloud platforms and aggressive pricing strategies in an attempt to gain market dominance. This work shows the origins of the Infrastructure-as-a-Service industry and an analysis of the market dynamics by looking at the portfolios and strategies of the top competitors in this space. Also, this report shows what are the developments that will drive the innovation in the cloud industry years to come.
by Ari Liberman García.
S.M. in Engineering and Management
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Books on the topic "Cloud infrastructure"

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Jakóbczyk, Michał Tomasz. Practical Oracle Cloud Infrastructure. Berkeley, CA: Apress, 2020. http://dx.doi.org/10.1007/978-1-4842-5506-3.

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Yeluri, Raghu, and Enrique Castro-Leon. Building the Infrastructure for Cloud Security. Berkeley, CA: Apress, 2014. http://dx.doi.org/10.1007/978-1-4302-6146-9.

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Lynn, Theo, John G. Mooney, Jörg Domaschka, and Keith A. Ellis, eds. Managing Distributed Cloud Applications and Infrastructure. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-39863-7.

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Reese, George. Cloud Application Architectures: Building Applications and Infrastructure in the Cloud. Sebastopol: O'Reilly Media, Inc., 2009.

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Washam, Michael. Automating microsoft azure infrastructure services. Sebastopol, CA: O'Reilly Media, 2015.

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Kee, Tan Nam, ed. Private cloud computing: Consolidation, virtualization, and service-oriented infrastructure. Waltham, MA: Morgan Kaufmann, 2012.

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Huché, Thierry. Cloud computing infrastructure on IBM Power Systems: Getting started with ISDM. Poughkeepsie, N.Y: IBM Corp., International Technical Support Organization, 2012.

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VMware vSphere and virtual infrastructure security: Securing the virtual environment. Indianapolis, Ind: Prentice Hall, 2009.

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Communication infrastructures for cloud computing. Hershey PA: Information Science Reference, an imprint of IGI Global, 2014.

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Villari, Massimo, Ivona Braidic, and Francesco Tusa. Achieving federated and self-manageable cloud infrastructures: Theory and practice. Hershey, PA: Business Science Reference, 2012.

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Book chapters on the topic "Cloud infrastructure"

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Fox, Richard, and Wei Hao. "Cloud Computing." In Internet Infrastructure, 453–96. Boca Raton : Taylor & Francis, a CRC title, part of the Taylor & Francis imprint, a member of the Taylor & Francis Group, the academic division of T&F Informa, plc, [2017]: CRC Press, 2017. http://dx.doi.org/10.1201/9781315175577-11.

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Chard, Kyle, and Simon Caton. "Social Clouds: Crowdsourcing Cloud Infrastructure." In Progress in IS, 191–217. Berlin, Heidelberg: Springer Berlin Heidelberg, 2015. http://dx.doi.org/10.1007/978-3-662-47011-4_11.

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Ali, Syed. "Hosted Cloud Solutions Using Google Cloud Platform." In Practical Linux Infrastructure, 25–51. Berkeley, CA: Apress, 2014. http://dx.doi.org/10.1007/978-1-4842-0511-2_2.

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Velev, Dimiter, and Plamena Zlateva. "Cloud Infrastructure Security." In Lecture Notes in Computer Science, 140–48. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-19228-9_13.

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GhasemiGol, Mohammad. "Cloud Infrastructure Security." In Security, Privacy, and Digital Forensics in the Cloud, 23–50. Singapore: John Wiley & Sons Singapore Pte. Ltd, 2019. http://dx.doi.org/10.1002/9781119053385.ch2.

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Jakóbczyk, Michał. "Automating Cloud Infrastructure." In Practical Oracle Cloud Infrastructure, 117–78. Berkeley, CA: Apress, 2020. http://dx.doi.org/10.1007/978-1-4842-5506-3_3.

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Kratzke, Nane. "Infrastructure as Code." In Cloud-native Computing, 57–72. München: Carl Hanser Verlag GmbH & Co. KG, 2021. http://dx.doi.org/10.3139/9783446472846.007.

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Goniwada, Shivakumar R. "Infrastructure Automation." In Cloud Native Architecture and Design, 619–34. Berkeley, CA: Apress, 2021. http://dx.doi.org/10.1007/978-1-4842-7226-8_17.

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Jakóbczyk, Michał Tomasz. "Cloud-Native Architecture." In Practical Oracle Cloud Infrastructure, 487–551. Berkeley, CA: Apress, 2020. http://dx.doi.org/10.1007/978-1-4842-5506-3_9.

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Jakóbczyk, Michał Tomasz. "Introducing Oracle Cloud Infrastructure." In Practical Oracle Cloud Infrastructure, 1–48. Berkeley, CA: Apress, 2020. http://dx.doi.org/10.1007/978-1-4842-5506-3_1.

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Conference papers on the topic "Cloud infrastructure"

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Keller, Matthias, Dirk Meister, Andre Brinkmann, Christian Terboven, and Christian Bischof. "eScience Cloud Infrastructure." In 2011 37th EUROMICRO Conference on Software Engineering and Advanced Applications (SEAA). IEEE, 2011. http://dx.doi.org/10.1109/seaa.2011.38.

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Paraiso, Fawaz, Nicolas Haderer, Philippe Merle, Romain Rouvoy, and Lionel Seinturier. "A Federated Multi-cloud PaaS Infrastructure." In 2012 IEEE 5th International Conference on Cloud Computing (CLOUD). IEEE, 2012. http://dx.doi.org/10.1109/cloud.2012.79.

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Doelitzscher, Frank, Christian Fischer, Denis Moskal, Christoph Reich, Martin Knahl, and Nathan Clarke. "Validating Cloud Infrastructure Changes by Cloud Audits." In 2012 IEEE World Congress on Services (SERVICES). IEEE, 2012. http://dx.doi.org/10.1109/services.2012.12.

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Balasooriya, Janaka. "Cloud Computing Infrastructure for Biological Echo-Systems." In 2010 IEEE International Conference on Cloud Computing (CLOUD). IEEE, 2010. http://dx.doi.org/10.1109/cloud.2010.80.

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Margheri, Andrea, Md Sadek Ferdous, Mu Yang, and Vladimiro Sassone. "A Distributed Infrastructure for Democratic Cloud Federations." In 2017 IEEE 10th International Conference on Cloud Computing (CLOUD). IEEE, 2017. http://dx.doi.org/10.1109/cloud.2017.93.

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Fraunholz, Daniel, Richard Schorghofer-Vrinssen, Hartmut Konig, Wolfgang Muhlbauer, and Richard Zahoranksy. "Mobility-Enabling Edge Cloud Infrastructure: Testbed and Experimental Evaluation." In 2021 IEEE Cloud Summit (Cloud Summit). IEEE, 2021. http://dx.doi.org/10.1109/ieeecloudsummit52029.2021.00011.

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Vieira, Lucas, Adbys Vasconcelos, Ítalo Batista, Rodolfo A. M. Silva, and Francisco Brasileiro. "DisOpenFaaS: A Distributed Function-as-a-Service Platform." In XXXVII Simpósio Brasileiro de Redes de Computadores e Sistemas Distribuídos. Sociedade Brasileira de Computação - SBC, 2019. http://dx.doi.org/10.5753/sbrc_estendido.2019.7767.

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The adoption of cloud computing is increasing due to low costs of infrastructure, as well as having virtually infinite resources available for demand based scaling. The increasing interest in this topic, there is a continuous search for better ways to manage such infrastructures. One of the most recent steps was the development of Function-as-a-Service (FaaS). FaaS is a cloud computing service model where developers can deploy functions to a cloud platform and have them executed based on the triggering of events, or by making HTTP(S) requests. We propose an architecture for deploying FaaS platforms in hybrid clouds that can be composed by multiple cloud providers. This architecture enable privately deployed FaaS platforms to perform auto-scaling of virtual machines in a distributed infrastructure, while considering the scenario where the users of such platform are scattered around the globe. This allows the execution of requests in servers geographically located as close as possible from the client.
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Wu, Jiyi, Lingdi Ping, Xiaoping Ge, Ya Wang, and Jianqing Fu. "Cloud Storage as the Infrastructure of Cloud Computing." In 2010 International Conference on Intelligent Computing and Cognitive Informatics (ICICCI). IEEE, 2010. http://dx.doi.org/10.1109/icicci.2010.119.

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Xu, Jielong, Jian Tang, Kevin Kwiat, Weiyi Zhang, and Guoliang Xue. "Survivable Virtual Infrastructure Mapping in Virtualized Data Centers." In 2012 IEEE 5th International Conference on Cloud Computing (CLOUD). IEEE, 2012. http://dx.doi.org/10.1109/cloud.2012.100.

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Litoiu, Marin. "Smart applications on cloud infrastructure." In 2012 IEEE 6th International Workshop on the Maintenance and Evolution of Service-Oriented and Cloud-Based Systems (MESOCA). IEEE, 2012. http://dx.doi.org/10.1109/mesoca.2012.6392596.

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Reports on the topic "Cloud infrastructure"

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Krautheim, F. J., Dhananjay S. Phatak, and Alan T. Sherman. Private Virtual Infrastructure: A Model for Trustworthy Utility Cloud Computing. Fort Belvoir, VA: Defense Technical Information Center, January 2010. http://dx.doi.org/10.21236/ada545050.

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Oleksiuk, Vasyl P., Olesia R. Oleksiuk, Oleg M. Spirin, Nadiia R. Balyk, and Yaroslav P. Vasylenko. Some experience in maintenance of an academic cloud. [б. в.], June 2021. http://dx.doi.org/10.31812/123456789/4436.

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The article is devoted to the systematization of experience in the deployment, maintenance and servicing of the private academic cloud. The article contains model of the authors’ cloud infrastructure. It was developed at Ternopil Volodymyr Hnatiuk National Pedagogical University (Ukraine) on the basis of the Apache CloudStack platform. The authors identify the main tasks for maintaining a private academic cloud. Here they are making changes to the cloud infrastructure; maintenance of virtual machines (VM) to determine the performance and migration of VM instances; work with VMs; backup of all cloud infrastructure. The analysis of productivity and providing students with computing resources is carried out. The main types of VM used in training are given. The number and characteristics of VM that can be served by a private academic cloud are calculated. Approaches and schemes for performing backup are analysed. Some theoretical and practical experience of using cloud services to perform backup has been studied. Several scripts have been developed for archiving the platform database and its repositories. They allow you to upload backups to the Google Drive cloud service. The performance of these scripts for the author’s deployment of private cloud infrastructure was evaluated.
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Hsieh, Chung-Chu (George). Building a Cloud Computing and Big Data Infrastructure for Cybersecurity Research and Education. Fort Belvoir, VA: Defense Technical Information Center, March 2015. http://dx.doi.org/10.21236/ad1001077.

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Randles, Timothy. STNS01-22 BEE - FY21 P6-2: Execute BEE workflows on private cloud infrastructure. Office of Scientific and Technical Information (OSTI), September 2021. http://dx.doi.org/10.2172/1822695.

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Shyshkina, Mariya P. Сервісні моделі формування хмаро орієнтованого середовища вищого навчального закладу. [б. в.], August 2018. http://dx.doi.org/10.31812/0564/2449.

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The article is devoted to creating and development of the cloud based educational and scientific environment of higher education institutions, using modern approaches to the ICT infrastructure design, based on the different types of service models, including public, corporate or hybrid clouds. Object of the study: to conduct the theoretical analysis of the research trends of the cloud based higher education institution ICT infrastructure modeling in the context of the tendencies of the ICT development and standardization. Object of the study: the process of formation and development of the educational and research environment in the higher education institution. The purpose of the article: to reveal the current trends of the cloud-based service models of the learning environment design and implementation. The methods of the study: The analysis of scientific and educational literature on pro-research problems; domestic and foreign experience on the emerging ICT implementation in the learning process. Results: The main types of the service models of design and deploy the cloud-based infrastructure of the educational institution are revealed; the advantages and disadvantages of the cloud-based approach are considered; the promising ways of implementation are considered. Conclusions: there are promising ways of the learning environment cloud-based service models design and application, taking into consideration its preferences and disadvantages for the certain case study.
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Randles, Timothy. BEE-FY21 P6-2: Execute BEE workflows on private cloud infrastructure 2.3.6.01 - LANL ATDM ST / STNS01-22 Milestone Completion Documentation. Office of Scientific and Technical Information (OSTI), September 2021. http://dx.doi.org/10.2172/1822696.

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Shyshkina, Mariya P., and Maiia V. Marienko. Augmented reality as a tool for open science platform by research collaboration in virtual teams. [б. в.], February 2020. http://dx.doi.org/10.31812/123456789/3755.

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The provision of open science is defined as a general policy aimed at overcoming the barriers that hinder the implementation of the European Research Area (ERA). An open science foundation seeks to capture all the elements needed for the functioning of ERA: research data, scientific instruments, ICT services (connections, calculations, platforms, and specific studies such as portals). Managing shared resources for the community of scholars maximizes the benefits to society. In the field of digital infrastructure, this has already demonstrated great benefits. It is expected that applying this principle to an open science process will improve management by funding organizations in collaboration with stakeholders through mechanisms such as public consultation. This will increase the perception of joint ownership of the infrastructure. It will also create clear and non-discriminatory access rules, along with a sense of joint ownership that stimulates a higher level of participation, collaboration and social reciprocity. The article deals with the concept of open science. The concept of the European cloud of open science and its structure are presented. According to the study, it has been shown that the structure of the cloud of open science includes an augmented reality as an open-science platform. An example of the practical application of this tool is the general description of MaxWhere, developed by Hungarian scientists, and is a platform of aggregates of individual 3D spaces.
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Solovyanenko, Nina I. Legal features of innovative (digital) entrepreneurship in the agricultural and food sector. DOI CODE, 2021. http://dx.doi.org/10.18411/0131-5226-2021-70008.

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Modern agricultural production and food trade are involved in the process of digital transformation, which is a cardinal factor of sustainable development and is carried out on the basis of IT platforms, the Internet of Things, cloud computing, big data, artificial intelligence, blockchain technologies. The COVID-19 pandemic has increased the dependence of these sectors of the economy on information and communication technology infrastructure and services. At the same time, the slow updating of legislation, which lags behind the constantly improving digital technologies, not only hinders their implementation, but also is a source of a number of social and legal problems. A modern regulatory framework based on digital strategies should strengthen "smart agriculture". In Russia, the legal mechanism of digital transformation and development of the national platform "Digital Agriculture" should be supported by updated basic legislation.
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A Decision-Making Method for Connected Autonomous Driving Based on Reinforcement Learning. SAE International, December 2020. http://dx.doi.org/10.4271/2020-01-5154.

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At present, with the development of Intelligent Vehicle Infrastructure Cooperative Systems (IVICS), the decision-making for automated vehicle based on connected environment conditions has attracted more attentions. Reliability, efficiency and generalization performance are the basic requirements for the vehicle decision-making system. Therefore, this paper proposed a decision-making method for connected autonomous driving based on Wasserstein Generative Adversarial Nets-Deep Deterministic Policy Gradient (WGAIL-DDPG) algorithm. In which, the key components for reinforcement learning (RL) model, reward function, is designed from the aspect of vehicle serviceability, such as safety, ride comfort and handling stability. To reduce the complexity of the proposed model, an imitation learning strategy is introduced to improve the RL training process. Meanwhile, the model training strategy based on cloud computing effectively solves the problem of insufficient computing resources of the vehicle-mounted system. Test results show that the proposed method can improve the efficiency for RL training process with reliable decision making performance and reveals excellent generalization capability.
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