Relevant bibliographies by topics / Cloud computing infrastructure

Contents

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

Academic literature on the topic 'Cloud computing infrastructure'

Author: Grafiati
Published: 4 June 2021
Last updated: 27 July 2025

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Journal articles on the topic "Cloud computing infrastructure"

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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 (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
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Robin, W. Brown. "Cloud Computing." Computing in Science Engineering 2017, no. 10 (2017): 5. https://doi.org/10.5281/zenodo.999371.

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Amazon Web Services (AWS) has provided several significant advantages to Ericsson. First of all, Ericsson has been able to manage its business due to the global infrastructure management services that are provided by AWS. This global infrastructure has enabled Ericsson to save the costs in various aspects of their business and thus, gain huge amount of profit (AWS, 2014). Moreover, due to the services of AWS, Ericsson is now able to develop and launch latest software and applications at any time according to the requirements of the market
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Singh, Santosh Kumar, Dr P. K. Manjhi, Dr R. K. Tiwari, and Dr V. R. Vadi. "Cloud computing and security issues in the cloud." Trinity Journal of Management, IT & Media 9, no. 1 (2018): 22–27. http://dx.doi.org/10.48165/tjmitm.2018.0905.

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Cloud computing has formed the conceptual and infrastructural basis for tomorrow’s computing. The global computing infrastructure is rapidly moving towards cloud based architecture. While it is important to take advantages of cloud based computing by means of deploying it in diversified sectors, the security aspects in a cloud based computing environment remains at the core of interest. Cloud based services and service providers are being evolved which has resulted in a new business trend based on cloud technology. With the introduction of numerous cloud based services and geographically dispe
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Monjur, Ahmed, and Ashraf Hossain Mohammad. "CLOUD COMPUTING AND SECURITY ISSUES IN THE CLOUD." International Journal of Network Security & Its Applications (IJNSA) 6, no. 1 (2014): 25–36. https://doi.org/10.5281/zenodo.6321592.

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Cloud computing has formed the conceptual and infrastructural basis for tomorrow’s computing. The global computing infrastructure is rapidly moving towards cloud based architecture. While it is important to take advantages of could based computing by means of deploying it in diversified sectors, the security aspects in a cloud based computing environment remains at the core of interest. Cloud based services and service providers are being evolved which has resulted in a new business trend based on cloud technology. With the introduction of numerous cloud based services and geographically
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Abdel, Rahman Alzoubaidi. "Multi-Campus Universities Private-Cloud Migration Infrastructure." International Journal on Cloud Computing: Services and Architecture (IJCCSA) 6, no. 3 (2019): 1–13. https://doi.org/10.5281/zenodo.3541707.

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Cloud Computing is an attractive research area for the last few years; and there have been a tremendous grows in the number of educational institutions all over the world who have either adopted or are considering migrating to cloud computing. However, there are many concerns and reservations about adopting conventional or public cloud based solutions. A new paradigm of cloud based solution has been proposed, namely, the private cloud based solutions, which becomes an attractive choice to educational Institutions. This paper presents the adjustment and implementation of private-based cloud sol
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Nida, Bhanu Raju. "The Rise of Serverless Computing: Towards a Future Without Infrastructure Management." International Scientific Journal of Engineering and Management 03, no. 10 (2024): 1–7. https://doi.org/10.55041/isjem02093.

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Abstract—Emerging as a radical paradigm in cloud computing, serverless computing allows developers to deploy and run programs free from control of underlying infrastructure. The basic ideas of serverless computing, its main traits, and its rising relevance in contemporary cloud computing are investigated in this work. We evaluate the advantages and drawbacks of serverless computing including cost effectiveness, scalability, and operational simplicity by means of an analysis of market trends, technology developments, and practical case studies. We also look at difficulties such vendor lock-in,
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Oleksyuk, Vasyl P. "ПРОЕКТУВАННЯ МОДЕЛІ ХМАРНОЇ ІНФРАСТРУКТУРИ ВНЗ НА ОСНОВІ ПЛАТФОРМИ APACHE CLOUDSTACK". Information Technologies and Learning Tools 54, № 4 (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 virtu
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Samip, Raut, Jaiswal Kamlesh, Kale Vaibhav, Mote Akshay, Soudamini Pawar Ms., and Suvarna Kadam Mrs. "DATA DISTRIBUTION HANDLING ON CLOUD FOR DEPLOYMENT OF BIG DATA." International Journal on Cloud Computing: Services and Architecture (IJCCSA) 6, no. 3 (2019): 15–22. https://doi.org/10.5281/zenodo.3558397.

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Cloud computing is a new emerging model in the field of computer science. For varying workload Cloud computing presents a large scale on demand infrastructure. The primary usage of clouds in practice is to process massive amounts of data. Processing large datasets has become crucial in research and business environments. The big challenges associated with processing large datasets is the vast infrastructure required. Cloud computing provides vast infrastructure to store and process Big data. Vms can be provisioned on demand in cloud to process the data by forming cluster of Vms . Map Reduce pa
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Hosam, AlHakami Hamza Aldabbas and Tariq Alwada'n. "COMPARISON BETWEEN CLOUD AND GRID COMPUTING: REVIEW PAPER." International Journal on Cloud Computing: Services and Architecture (IJCCSA) 2, August (2018): 01–21. https://doi.org/10.5281/zenodo.1437765.

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Cloud computing is the most recent announced technology that has been launched on the network world. Clouds are considered as a new generation of Grid computing. Clouds consist of data centres which are owned by the same institute. The homogeneity within each data centre in the infrastructure is the main feature for the cloud computing compared to grid computing. This paper provides a definition for the cloud, it discusses many aspects of Cloud Computing, and describes architectures for the cloud (by looking at Amazon’s application (GrepTheWeb)) and how its cost definition differs from t
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Zhang, Fengrui. "Distributed Cloud Computing Infrastructure Management." International Journal of Internet and Distributed Systems 07, no. 03 (2025): 35–60. https://doi.org/10.4236/ijids.2025.73003.

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Dissertations / Theses on the topic "Cloud computing 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 balanc
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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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Su, Xueyuan. "Efficient Fault-Tolerant Infrastructure for Cloud Computing." Thesis, Yale University, 2014. http://pqdtopen.proquest.com/#viewpdf?dispub=3578459.

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<p>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.</p><p> 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
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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
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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<br>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 net
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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
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AlJabban, Tarek. "Distributed database storage management for a cloud computing infrastructure." Thesis, McGill University, 2013. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=114556.

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Internet applications have recently witnessed tremendous growth in terms of both size and complexity. Cloud computing is one of the several distributed technologies that have emerged to help meeting the objectives of these applications in terms of achieving high availability, performance and scalability.Platform as a Service (PaaS) is one kind of services provided by cloud solutions. These systems often follow a multi-tier architecture consisting mainly of a presentation tier, an application tier and a database tier. The volumes of data exchanged between the application tier and the database
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Margaris, Nikos. "Cloud Computing v českém prostředí." Master's thesis, Vysoká škola ekonomická v Praze, 2011. http://www.nusl.cz/ntk/nusl-72541.

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Focus of this diploma thesis is on Cloud Computing -- a new delivery model of IS/ICT services for companies. Cloud Computing services are IT resources available to users via internet on pay-as-you-use basis. The aim of the thesis is define underlying Cloud Computing concepts and evaluate the current state of Cloud Computing adoption in the Czech Republic. We discuss the framework for definition of Cloud Computing concepts in the theoretical part of the thesis drawing on resources available in the literature. Cloud Computing survey is conducted using an online questionnaire and followsthe princ
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LUCREZIA, FRANCESCO. "Network Infrastructures for Highly Distributed Cloud-Computing." Doctoral thesis, Politecnico di Torino, 2018. http://hdl.handle.net/11583/2706032.

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Software-Defined-Network (SDN) is emerging as a solid opportunity for the Network Service Providers (NSP) to reduce costs while at the same time providing better and/or new services. The possibility to flexibly manage and configure highly-available and scalable network services through data model abstractions and easy-to-consume APIs is attractive and the adoption of such technologies is gaining momentum. At the same time, NSPs are planning to innovate their infrastructures through a process of network softwarisation and programmability. The SDN paradigm aims at improving the design, configura
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Zhang, Bo. "Self-optimization of infrastructure and platform resources in cloud computing." Thesis, Lille 1, 2016. http://www.theses.fr/2016LIL10207/document.

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L’élasticité est pensée comme une solution importante pour gérer des problèmes de performance dans les systèmes répartis. Toutefois, la plupart des recherches d’élasticité ne concernent que l’approvisionnement de ressources de manière automatique, mais ignorent toujours l’utilisation des ressources provisionnées. Cela pourrait conduire à des fuites de ressources, ce qui entraîne des dépenses inutiles. Pour éviter des problèmes, mes recherches se concentrent donc sur la maximisation de l’utilisation des ressources par l’auto-gestion des ressources. Dans cette thèse, en raison de divers problème
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Books on the topic "Cloud computing infrastructure"

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

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

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

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

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United States. Congress. House. Committee on Homeland Security. Subcommittee on Cybersecurity, Infrastructure Protection, and Security Technologies. Cloud computing: What are the security implications? : hearing before the Subcommittee on Cybersecurity, Infrastructure Protection, and Security Technologies of the Committee on Homeland Security, House of Representatives, One Hundred Twelfth Congress, first session, October 6, 2011. U.S. Government Printing Office, 2012.

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

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Millard, Christopher, ed. Cloud Computing Law. 2nd ed. Oxford University Press, 2021. http://dx.doi.org/10.1093/oso/9780198716662.001.0001.

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This book examines in detail the legal implications of cloud computing. In essence, 'the cloud' is a way of delivering computing resources as a utility service via the Internet. It is evolving very rapidly with substantial investments being made in infrastructure, platforms, and applications, all delivered 'as a service'. The demand for cloud resources is enormous, driven by such developments as the deployment on a vast scale of mobile apps and the rapid emergence of 'Big Data'. The book explains what cloud computing is and how it works; analyses contractual relationships between cloud service
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Lehr, William, Christopher S. Yoo, Jean-Francois Blanchette, Marjory S. Blumenthal, and Joe Weinman. Regulating the Cloud - Policy for Computing Infrastructure. MIT Press, 2015.

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Lehr, William, Christopher S. Yoo, Jean-Francois Blanchette, Marjory S. Blumenthal, and Joe Weinman. Regulating the Cloud - Policy for Computing Infrastructure. MIT Press, 2015.

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Enterprise cloud computing: Building Applications and Infrastructure in the Cloud. O'Reilly, 2009.

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Book chapters on the topic "Cloud computing infrastructure"

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Fox, Richard, and Wei Hao. "Cloud Computing." In Internet Infrastructure. CRC Press, 2017. http://dx.doi.org/10.1201/9781315175577-11.

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

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Hickey, Marianne, and Maher Rahmouni. "Modelling Cloud Computing Infrastructure." In Mechanisms for Autonomous Management of Networks and Services. Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-13986-4_15.

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Yeluri, Raghu, and Enrique Castro-Leon. "Cloud Computing Basics." In Building the Infrastructure for Cloud Security. Apress, 2014. http://dx.doi.org/10.1007/978-1-4302-6146-9_1.

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Rao, K. Tirumala, Sujatha, and N. Leelavathy. "Infrastructure Resiliency in Cloud Computing." In Proceedings of International Conference on Computational Intelligence and Data Engineering. Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-99-0609-3_14.

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Comer, Douglas E. "Data Center Infrastructure And Equipment." In The Cloud Computing Book. Chapman and Hall/CRC, 2021. http://dx.doi.org/10.1201/9781003147503-6.

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Riley, Steve. "System and Infrastructure Lifecycle Management for the Cloud." In Auditing Cloud Computing. John Wiley & Sons, Inc., 2011. http://dx.doi.org/10.1002/9781118269091.ch4.

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Ashrafi, Tasnia H., Md Arshad Hossain, Sayed E. Arefin, Kowshik D. J. Das, and Amitabha Chakrabarty. "IoT Infrastructure: Fog Computing Surpasses Cloud Computing." In Intelligent Communication and Computational Technologies. Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-10-5523-2_5.

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Amini Salehi, Mohsen, and Xiangbo Li. "Computing Infrastructure for Multimedia Streaming Clouds (MSC)." In Multimedia Cloud Computing Systems. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-88451-2_5.

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Ye, Ming, and ZeHui Qu. "Cloud Computing Infrastructure and Application Study." In Information Computing and Applications. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-34062-8_47.

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Conference papers on the topic "Cloud computing infrastructure"

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Banumathi, S., E. Sivajothi, Indumathi G. S, Enku Yosef Kefyalew, J. Sivakumar, and V. Banu Priya. "Cloud Computing: Innovations and Impacts on Global Data Infrastructure." In 2025 International Conference on Computational, Communication and Information Technology (ICCCIT). IEEE, 2025. https://doi.org/10.1109/icccit62592.2025.10927743.

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Lupşe, CA, F. Fărcaş, J. Nagy, and MRC Truşcă. "Building and Managing Cloud Infrastructure with OpenStack." In 2024 International Conference on Advanced Scientific Computing (ICASC). IEEE, 2024. https://doi.org/10.1109/icasc63229.2024.10784653.

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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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Munhoz, Vanderlei, and Márcio Castro. "HPC@Cloud: A Provider-Agnostic Software Framework for Enabling HPC in Public Cloud Platforms." In Simpósio em Sistemas Computacionais de Alto Desempenho. Sociedade Brasileira de Computação, 2022. http://dx.doi.org/10.5753/wscad.2022.226528.

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The cloud computing paradigm democratized compute infrastructure access to millions of resource-strained organizations, applying economics of scale to massively reduce infrastructure costs. In the High Performance Computing (HPC) context, the benefits of using public cloud resources make it an attractive alternative to expensive on-premises clusters, however there are several challenges and limitations. In this paper, we present HPC@Cloud: a provideragnostic software framework that comprises a set of key software tools to assist in the migration, test and execution of HPC applications in publi
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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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Falfushinsky, Vladislav, Olena Skarlat, and Vadim Tulchinsky. "Cloud computing platform within Grid Infrastructure." In 2013 IEEE 7th International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS). IEEE, 2013. http://dx.doi.org/10.1109/idaacs.2013.6663018.

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Sohan Singh Yadav and Zeng Wen Hua. "CLOUD: A computing infrastructure on demand." In 2010 2nd International Conference on Computer Engineering and Technology. IEEE, 2010. http://dx.doi.org/10.1109/iccet.2010.5486068.

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Van der Merwe, Jacobus, K. K. Ramakrishnan, Michael Fairchild, et al. "Towards a ubiquitous cloud computing infrastructure." In Metropolitan Area Networks (LANMAN). IEEE, 2010. http://dx.doi.org/10.1109/lanman.2010.5507151.

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Marin, Dramnescu, and Vladimir Enachescu. "THE ADVANTAGES OF USING CLOUD COMPUTING IN EDUCATIONAL ENVIRONMENT." In eLSE 2017. Carol I National Defence University Publishing House, 2017. http://dx.doi.org/10.12753/2066-026x-17-057.

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Cloud services are understood and analyzed more technical perspective, and less in terms of benefits and changes that can bring them this new model for education. Current technology trends indicate that the future of the web will be oriented towards Cloud technologies. Cloud will be provided "as a service" and the Internet of the future will be a tight connection between humans, electronic devices and services. CWS concept (Cloud-based Web Services) describes a platform that connects multiple data storage centers and generate new ways to unify distributed web services. For this reason, the CWS
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Zhou, Larry, Jordan Lambert, Yanyan Zheng, et al. "Distributed Scalable Edge Computing Infrastructure for Open Metaverse." In 2023 IEEE Cloud Summit. IEEE, 2023. http://dx.doi.org/10.1109/cloudsummit57601.2023.00007.

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Reports on the topic "Cloud computing 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. Defense Technical Information Center, 2010. http://dx.doi.org/10.21236/ada545050.

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Pasupuleti, Murali Krishna. Securing AI-driven Infrastructure: Advanced Cybersecurity Frameworks for Cloud and Edge Computing Environments. National Education Services, 2025. https://doi.org/10.62311/nesx/rrv225.

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Abstract: The rapid adoption of artificial intelligence (AI) in cloud and edge computing environments has transformed industries by enabling large-scale automation, real-time analytics, and intelligent decision-making. However, the increasing reliance on AI-powered infrastructures introduces significant cybersecurity challenges, including adversarial attacks, data privacy risks, and vulnerabilities in AI model supply chains. This research explores advanced cybersecurity frameworks tailored to protect AI-driven cloud and edge computing environments. It investigates AI-specific security threats,
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Hsieh, Chung-Chu (George). Building a Cloud Computing and Big Data Infrastructure for Cybersecurity Research and Education. Defense Technical Information Center, 2015. http://dx.doi.org/10.21236/ad1001077.

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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.], 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
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Ambiel, Suzanne. The Case for Confidential Computing: Delivering Business Value Through Protected, Confidential Data Processing. The Linux Foundation, 2024. https://doi.org/10.70828/iynl6589.

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As the collection, storage, and analysis of data becomes increasingly important across industries, businesses are looking for solutions that keep data secure and processes compliant with regulations. Confidential computing is one of these solutions, involving the use of a trusted execution environment that runs on shared infrastructure but processes data away from unauthorized users. This use case report interviewed members of the confidential computing community on the ways they have implemented the technology and what they believe its future holds. The report looks at the use of confidential
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Coyner, Kelley, and Jason Bittner. Automated Vehicles and Infrastructure Enablers: Cybersecurity. SAE International, 2024. http://dx.doi.org/10.4271/epr2024018.

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&lt;div class="section abstract"&gt;&lt;div class="htmlview paragraph"&gt;While weaponizing automated vehicles (AVs) seems unlikely, cybersecurity breaches may disrupt automated driving systems’ navigation, operation, and safety—especially with the proliferation of vehicle-to-everything (V2X) technologies. The design, maintenance, and management of digital infrastructure, including cloud computing, V2X, and communications, can make the difference in whether AVs can operate and gain consumer and regulator confidence more broadly. Effective cybersecurity standards, physical and digital security
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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
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Belcher, Stephen. Weather and climate science services in a changing world: research and innovation strategy. Met Office, 2022. https://doi.org/10.62998/crmi4887.

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Weather and climate science and services have never been more important. The risks from high-impact weather events, and how they might change in our changing climate, rank high in many national and corporate risk registers. Better forecasts, with longer lead times, tailored to impacts help to minimise the damage and realise the opportunities. At the same time enabling technology is changing at an ever-increasing pace: novel supercomputers promise enormous power if harnessed effectively; public sector cloud-based technology offers profoundly new ways of analysing data; and data sciences and art
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A Decision-Making Method for Connected Autonomous Driving Based on Reinforcement Learning. SAE International, 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
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