Relevant bibliographies by topics / CLOUD FRAMEWORK

Contents

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

Academic literature on the topic 'CLOUD FRAMEWORK'

Author: Grafiati
Published: 11 September 2023
Last updated: 25 July 2025

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Journal articles on the topic "CLOUD FRAMEWORK"

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Ormel, Chris W., and Michiel Min. "ARCiS framework for exoplanet atmospheres." Astronomy & Astrophysics 622 (February 2019): A121. http://dx.doi.org/10.1051/0004-6361/201833678.

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Context. Understanding of clouds is instrumental in interpreting current and future spectroscopic observations of exoplanets. Modeling clouds consistently is complex, since it involves many facets of chemistry, nucleation theory, condensation physics, coagulation, and particle transport. Aims. We aim to develop a simple physical model for cloud formation and transport, efficient and versatile enough that it can be used, in modular fashion for parameter optimization searches of exoplanet atmosphere spectra. In this work we present the cloud model and investigate the dependence of key parameters
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Zhao, X., Z. Gao, W. Sun, and F. Wen. "A COARSE-TO-FINE BAND REGISTRATION FRAMEWORK FOR MULTI/HYPERSPECTRAL REMOTE SENSING IMAGES CONSIDERING CLOUD INFLUENCE." ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences V-3-2020 (August 3, 2020): 201–8. http://dx.doi.org/10.5194/isprs-annals-v-3-2020-201-2020.

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Abstract. Band registration is one of the most critical steps in the production of multi/hyperspectral images and determines the accuracy of applications directly. Because of the characteristics of imaging devices in some multi/hyperspectral satellites, there may be a time difference between bands during push-broom imaging, which leads to displacements of moving clouds with respect to the ground. And a large number of feature points may gather around cloud contours due to the high contrast and rich texture, resulting in building a transformation more suitable for moving clouds and making groun
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Vijaya, Aparna, and Neelanarayanan V. "A Model Driven Framework for Portable Cloud Services." International Journal of Electrical and Computer Engineering (IJECE) 6, no. 2 (2016): 708. http://dx.doi.org/10.11591/ijece.v6i2.8270.

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<p class="Abstract">Cloud Computing is an evolving technology as it offers significant benefits like pay only for what you use, scale the resources according to the needs and less in-house staff and resources. These benefits have resulted in tremendous increase in the number of applications and services hosted in the cloud which inturn has resulted in increase in the number of cloud providers in the market. Cloud service providers have a lot of heterogeneity in the resources they use. They have their own servers, different cloud infrastructures, API’s and methods to access the cloud reso
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Vijaya, Aparna, and Neelanarayanan V. "A Model Driven Framework for Portable Cloud Services." International Journal of Electrical and Computer Engineering (IJECE) 6, no. 2 (2016): 708. http://dx.doi.org/10.11591/ijece.v6i2.pp708-716.

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<p class="Abstract">Cloud Computing is an evolving technology as it offers significant benefits like pay only for what you use, scale the resources according to the needs and less in-house staff and resources. These benefits have resulted in tremendous increase in the number of applications and services hosted in the cloud which inturn has resulted in increase in the number of cloud providers in the market. Cloud service providers have a lot of heterogeneity in the resources they use. They have their own servers, different cloud infrastructures, API’s and methods to access the cloud reso
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Aazam, Mohammad, and Eui-Nam Huh. "Framework of Resource Management for Intercloud Computing." Mathematical Problems in Engineering 2014 (2014): 1–9. http://dx.doi.org/10.1155/2014/108286.

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There has been a very rapid increase in digital media content, due to which media cloud is gaining importance. Cloud computing paradigm provides management of resources and helps create extended portfolio of services. Through cloud computing, not only are services managed more efficiently, but also service discovery is made possible. To handle rapid increase in the content, media cloud plays a very vital role. But it is not possible for standalone clouds to handle everything with the increasing user demands. For scalability and better service provisioning, at times, clouds have to communicate
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Chang, Victor, Yen-Hung Kuo, and Muthu Ramachandran. "Cloud computing adoption framework: A security framework for business clouds." Future Generation Computer Systems 57 (April 2016): 24–41. http://dx.doi.org/10.1016/j.future.2015.09.031.

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Zbořil, Martin, and Vlasta Svatá. "Cloud Adoption Framework." Procedia Computer Science 207 (2022): 483–93. http://dx.doi.org/10.1016/j.procs.2022.09.103.

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Patil, Raj Kumar, and Rehaman Pasha. "A Framework for Cloud Information Accountability." International Journal of Scientific Research 2, no. 10 (2012): 1–4. http://dx.doi.org/10.15373/22778179/oct2013/51.

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Harshvardhan, Guang Guo, Robert N. Green, Zheng Qu, and Takashi Y. Nakajima. "Remotely Sensed Microphysical and Thermodynamic Properties of Nonuniform Water Cloud Fields." Journal of the Atmospheric Sciences 61, no. 21 (2004): 2574–87. http://dx.doi.org/10.1175/jas3301.1.

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Abstract Visible and near-infrared reflected radiances have been used to estimate the cloud optical depth and effective radius of cloud-filled global area coverage (GAC) pixels from the Advanced Very High Resolution Radiometer (AVHRR) for two cases in the North Atlantic Ocean. One is representative of clouds having low concentrations of cloud condensation nuclei (CCN), while the other is an example of maritime clouds forming in continental air, in this case, intruding from Europe around a cutoff low pressure system. It is shown that an estimate of the cloud drop concentration can be obtained f
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Satwinder, Singh Rupra* Dr. Amos Omamo. "A FRAMEWORK FOR IMPROVING SECURITY IN CLOUD COMPUTING FOR SMES (FISCCS) USING SECURITY INDEX." Global Journal of Engineering Science and Research Management 6, no. 5 (2019): 1–11. https://doi.org/10.5281/zenodo.2703162.

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Cloud computing plays a very important role in the development of business and competitive edge for many organizations including SMEs. Cloud computing is considered to be a very capable and able internet-based computing platform which offers numerous benefits like mobility, flexibility, reliability and cost effectiveness. Every cloud user continues to expect maximum service, and a critical aspect is cloud security which is one among other specific challenges hindering adoption of the cloud technologies. The absence of appropriate, standardized and self-assessing security frameworks of the clou
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Dissertations / Theses on the topic "CLOUD FRAMEWORK"

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Falk, Matthew D. "Cryptographic cloud storage framework." Thesis, Massachusetts Institute of Technology, 2013. http://hdl.handle.net/1721.1/85417.

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Thesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2013.<br>Cataloged from PDF version of thesis.<br>Includes bibliographical references (page 59).<br>The cloud prevents cheap and convenient ways to create shared remote repositories. One concern when creating systems that provide security is if the system will be able to remain secure when new attacks are developed. As tools and techniques for breaking security systems advance, new ideas are required to provide the security guarantees that may have been exploited. This project pre
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RODRIGUES, Thiago Gomes. "Cloudacc: a cloud-based accountability framework for federated cloud." Universidade Federal de Pernambuco, 2016. https://repositorio.ufpe.br/handle/123456789/18590.

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Submitted by Fabio Sobreira Campos da Costa (fabio.sobreira@ufpe.br) on 2017-04-19T15:09:08Z No. of bitstreams: 2 license_rdf: 1232 bytes, checksum: 66e71c371cc565284e70f40736c94386 (MD5) tgr_thesis.pdf: 4801672 bytes, checksum: ce1d30377cfe8fad52dbfd02d55554e6 (MD5)<br>Made available in DSpace on 2017-04-19T15:09:08Z (GMT). No. of bitstreams: 2 license_rdf: 1232 bytes, checksum: 66e71c371cc565284e70f40736c94386 (MD5) tgr_thesis.pdf: 4801672 bytes, checksum: ce1d30377cfe8fad52dbfd02d55554e6 (MD5) Previous issue date: 2016-09-08<br>The evolution of software service delivery has changed
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Aldakheel, Eman A. "A Cloud Computing Framework for Computer Science Education." Bowling Green State University / OhioLINK, 2011. http://rave.ohiolink.edu/etdc/view?acc_num=bgsu1322873621.

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Falk, Sebastian, and Andriy Shyshka. "The Cloud Marketplace : A Capability-Based Framework for Cloud Ecosystem Governance." Thesis, Internationella Handelshögskolan, Högskolan i Jönköping, IHH, Informatik, 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:hj:diva-23968.

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Within the last five years, the market of cloud computing has shown rapid growth. However, despite the increasing popularity, researchers highlight numerous concerns regarding limited interoperability of systems hosted by different cloud providers as well as restricted customization of cloud solutions. In order to counter aforemen-tioned challenges, this study investigates the idea of introducing a marketplace for cloud services that leverage the service-oriented architecture (SOA) paradigm and of-fers software solutions, computing capabilities from cloud providers, components developed by thi
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Jallow, Alieu. "CLOUD-METRIC: A Cost Effective Application Development Framework for Cloud Infrastructures." Thesis, Uppsala universitet, Institutionen för informationsteknologi, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-300681.

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Classic application development model primarily focuses on two key objectives: scalable system architecture and best possible performance. However, This model of application development works well on the private resources, but with the growing amount of public IaaS it is essential to find a balance between the cost and the performance of an application. In this thesis, we have proposed CLOUD-METRIC: A Cost Effective Application Development for Cloud Infrastructures. The framework allows users to estimate the cost of running applications on public cloud infrastructures during the development ph
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Khan, Syeduzzaman. "A PROBABILISTIC MACHINE LEARNING FRAMEWORK FOR CLOUD RESOURCE SELECTION ON THE CLOUD." Scholarly Commons, 2020. https://scholarlycommons.pacific.edu/uop_etds/3720.

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The execution of the scientific applications on the Cloud comes with great flexibility, scalability, cost-effectiveness, and substantial computing power. Market-leading Cloud service providers such as Amazon Web service (AWS), Azure, Google Cloud Platform (GCP) offer various general purposes, memory-intensive, and compute-intensive Cloud instances for the execution of scientific applications. The scientific community, especially small research institutions and undergraduate universities, face many hurdles while conducting high-performance computing research in the absence of large dedicated cl
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Mengistu, Tessema Mindaye. "RESOURCE MANAGEMENT FRAMEWORK FOR VOLUNTEER CLOUD COMPUTING." OpenSIUC, 2018. https://opensiuc.lib.siu.edu/dissertations/1613.

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The need for high computing resources is on the rise, despite the exponential increase of the computing capacity of workstations, the proliferation of mobile devices, and the omnipresence of data centers with massive server farms that housed tens (if not hundreds) of thousands of powerful servers. This is mainly due to the unprecedented increase in the number of Internet users worldwide and the Internet of Things (IoTs). So far, Cloud Computing has been providing the necessary computing infrastructures for applications, including IoT applications. However, the current cloud infrastructures tha
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Zhang, Amy (Amy X. ). "A functional flow framework for cloud computing." Thesis, Massachusetts Institute of Technology, 2012. http://hdl.handle.net/1721.1/77453.

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Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2012.<br>Cataloged from PDF version of thesis.<br>Includes bibliographical references (p. 53).<br>This thesis covers a basic framework to calculate the maximum computation rate of a set of functions over a network. These functions are broken down into a series of computations, which are distributed among nodes of the network, with the output sent to the terminal node. We analyze two models with different types of computation costs, a linear computation cost model and a maximum computa
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Chaudhry, Nauman Riaz. "Workflow framework for cloud-based distributed simulation." Thesis, Brunel University, 2016. http://bura.brunel.ac.uk/handle/2438/14778.

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Although distributed simulation (DS) using parallel computing has received considerable research and development in a number of compute-intensive fields, it has still to be significantly adopted by the wider simulation community. According to scientific literature, major reasons for low adoption of cloud-based services for DS execution are the perceived complexities of understanding and managing the underlying architecture and software for deploying DS models, as well as the remaining challenges in performance and interoperability of cloud-based DS. The focus of this study, therefore, has been
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Li, Min. "A resource management framework for cloud computing." Diss., Virginia Tech, 2014. http://hdl.handle.net/10919/47804.

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The cloud computing paradigm is realized through large scale distributed resource management and computation platforms such as MapReduce, Hadoop, Dryad, and Pregel. These platforms enable quick and efficient development of a large range of applications that can be sustained at scale in a fault-tolerant fashion. Two key technologies, namely resource virtualization and feature-rich enterprise storage, are further driving the wide-spread adoption of virtualized cloud environments. Many challenges arise when designing resource management techniques for both native and virtualized data centers. Fi
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Books on the topic "CLOUD FRAMEWORK"

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Kaufman, Stephen. Pro Windows Server AppFabric. Apress, 2010.

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Mahmood, Zaigham, and Saqib Saeed, eds. Software Engineering Frameworks for the Cloud Computing Paradigm. Springer London, 2013. http://dx.doi.org/10.1007/978-1-4471-5031-2.

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Mahmood, Zaigham. Software Engineering Frameworks for the Cloud Computing Paradigm. Springer London, 2013.

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Gerald, Schimak, Denzer Ralf, and SpringerLink (Online service), eds. Environmental Software Systems. Frameworks of eEnvironment: 9th IFIP WG 5.11 International Symposium, ISESS 2011, Brno, Czech Republic, June 27-29, 2011. Proceedings. IFIP International Federation for Information Processing, 2011.

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Chang, Victor. Proposed Cloud Computing Business Framework. Nova Science Publishers, Incorporated, 2015.

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Data Classification Matrix and Cloud Assessment Framework: Cloud Assessment Framework and Evaluation Methodology. Washington, DC, 2023. http://dx.doi.org/10.1596/39550.

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Biswash, Sanjay Kumar, and Sourav Kanti Addya. Cloud Network Management: An IoT Based Framework. Taylor & Francis Group, 2020.

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Biswash, Sanjay Kumar, and Sourav Kanti Addya. Cloud Network Management: An IoT Based Framework. Taylor & Francis Group, 2020.

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Biswash, Sanjay Kumar, and Sourav Kanti Addya. Cloud Network Management: An IoT Based Framework. Taylor & Francis Group, 2020.

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Cloud Network Management: An IoT Based Framework. Taylor & Francis Group, 2020.

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Book chapters on the topic "CLOUD FRAMEWORK"

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Farooqui, Shamayel M. "Mastering the Cloud." In Enterprise DevOps Framework. Apress, 2018. http://dx.doi.org/10.1007/978-1-4842-3612-3_6.

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Kohne, Andreas. "Das FCS-Framework." In Cloud-Föderationen. Springer Fachmedien Wiesbaden, 2018. http://dx.doi.org/10.1007/978-3-658-20973-5_7.

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Farooqui, Shamayel M. "Hopping on the Cloud." In Enterprise DevOps Framework. Apress, 2018. http://dx.doi.org/10.1007/978-1-4842-3612-3_5.

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Das, Ravindra. "The Cloud." In Deploying the Zero Trust Framework in MSFT Azure. CRC Press, 2023. http://dx.doi.org/10.1201/9781003442578-1.

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Adepoju, Omoseni Oyindamola, Nnamdi Ikechi Nwulu, and Love Opeyemi David. "Cloud Computing." In Risk Management Framework for Fourth Industrial Revolution Technologies. CRC Press, 2024. http://dx.doi.org/10.1201/9781003522102-9.

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Dong, Bo, Qinghua Zheng, Mu Qiao, Jian Shu, and Jie Yang. "BlueSky Cloud Framework: An E-Learning Framework Embracing Cloud Computing." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-10665-1_55.

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Stanton, Brian, Mary Theofanos, and Karuna P. Joshi. "Framework for Cloud Usability." In Lecture Notes in Computer Science. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-20376-8_59.

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Zhao, Liang, Sherif Sakr, Anna Liu, and Athman Bouguettaya. "Performance Evaluation Framework of Cloud Platforms." In Cloud Data Management. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-04765-2_4.

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Sasmitha and A. Suresh. "Trusted Cloud Service Framework for Cloud Computing Security." In International Conference on Innovative Computing and Communications. Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-99-3315-0_13.

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Nguyen, Binh Minh, Viet Tran, and Ladislav Hluchy. "Development Framework for Cloud Services." In Communications in Computer and Information Science. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-35211-9_18.

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Conference papers on the topic "CLOUD FRAMEWORK"

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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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Neto, C. R. Lima, and V. C. Garcia. "Cloud testing framework." In the 17th International Conference. ACM Press, 2013. http://dx.doi.org/10.1145/2460999.2461037.

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Wu, Curt, and Steve Marotta. "Framework for Assessing Cloud Trustworthiness." In 2013 IEEE 6th International Conference on Cloud Computing (CLOUD). IEEE, 2013. http://dx.doi.org/10.1109/cloud.2013.76.

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Galante, Guilherme, and Luis Carlos E. de Bona. "Nebulous: A Framework for Scientific Applications Execution on Cloud Environments." In Simpósio em Sistemas Computacionais de Alto Desempenho. Sociedade Brasileira de Computação, 2011. http://dx.doi.org/10.5753/wscad.2011.17266.

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This paper presents a framework, called Nebulous, designed to simplify the execution of MPI and OpenMP parallel applications in computational clouds. The framework aims to automate the process of deployment and execution, avoiding the direct user interaction with the cloud. The framework is built on a cloud middleware layer (e.g. OpenNebula, Eucalyptus or Nimbus) and consists of three components: the Resource Description Block, an Application Programming Interface and the Executor. According to the results, Nebulous allows users to deploy applications over varying numbers of nodes in a simple
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Peng, Tao, and Satyandra K. Gupta. "A Computational Framework for Point Cloud Construction Using Digital Projection Patterns." In ASME 2006 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2006. http://dx.doi.org/10.1115/detc2006-99553.

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Many reverse engineering and inspection applications require generation of point clouds representing faces of physical objects. This paper describes a computational framework for constructing point clouds using digital projection patterns. The basic principle behind the approach is to project known patterns on the object using a digital projector. A digital camera is then used to take images of the object with the known projection patterns imposed on it. Due to the presence of 3-D faces of the object, the projection patterns appear distorted in the images. The images are analyzed to construct
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Hosono, Shigeru, He Huang, Tatsunori Hara, Yoshiki Shimomura, and Tamio Arai. "A Lifetime Supporting Framework for Cloud Applications." In 2010 IEEE International Conference on Cloud Computing (CLOUD). IEEE, 2010. http://dx.doi.org/10.1109/cloud.2010.63.

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Tunc, Cihan, Salim Hariri, Mheni Merzouki, et al. "Cloud Security Automation Framework." In 2017 IEEE 2nd International Workshops on Foundations and Applications of Self* Systems (FAS*W). IEEE, 2017. http://dx.doi.org/10.1109/fas-w.2017.164.

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Reixa, Miguel, Carlos Costa, and Manuela Aparicio. "Cloud services evaluation framework." In the Workshop. ACM Press, 2012. http://dx.doi.org/10.1145/2316936.2316948.

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Shankar, Laxman. "Bigonet Mobile Cloud Framework." In 2014 Sixth International Conference on Communication Systems and Networks (COMSNETS). IEEE, 2014. http://dx.doi.org/10.1109/comsnets.2014.6734915.

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Almorsy, Mohemed, John Grundy, and Amani S. Ibrahim. "Collaboration-Based Cloud Computing Security Management Framework." In 2011 IEEE 4th International Conference on Cloud Computing (CLOUD). IEEE, 2011. http://dx.doi.org/10.1109/cloud.2011.9.

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Reports on the topic "CLOUD FRAMEWORK"

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Stanton, Brian C., Mary F. Theofanos, and Karun P. Joshi. Framework for Cloud Usability. National Institute of Standards and Technology, 2015. http://dx.doi.org/10.6028/nist.sp.500-316.

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Arellano, Lawrence, Steven Arroyo, Gerald Giese, Philip Cox, and G. Rogers. Cloud computing strategic framework (FY13 - FY15). Office of Scientific and Technical Information (OSTI), 2012. http://dx.doi.org/10.2172/1097208.

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Stolworthy, Remy, Julia Morgan, and Emma Stewart. Use Case-Informed Framework for Utility Cloud Migration. Office of Scientific and Technical Information (OSTI), 2024. http://dx.doi.org/10.2172/2439373.

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Ackerman, Thomas P. Evaluating and Improving Cloud Processes in the Multi-Scale Modeling Framework. Office of Scientific and Technical Information (OSTI), 2015. http://dx.doi.org/10.2172/1171707.

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Xu, Kuan-Man, and Anning Cheng. Evaluation and improvement of the cloud resolving model component of the multi-scale modeling framework. Office of Scientific and Technical Information (OSTI), 2009. http://dx.doi.org/10.2172/1136726.

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Pasupuleti, Murali Krishna. Next-Generation Extended Reality (XR): A Unified Framework for Integrating AR, VR, and AI-driven Immersive Technologies. National Education Services, 2025. https://doi.org/10.62311/nesx/rrv325.

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Abstract: Extended Reality (XR), encompassing Augmented Reality (AR), Virtual Reality (VR), and Mixed Reality (MR), is evolving into a transformative technology with applications in healthcare, education, industrial training, smart cities, and entertainment. This research presents a unified framework integrating AI-driven XR technologies with computer vision, deep learning, cloud computing, and 5G connectivity to enhance immersion, interactivity, and scalability. AI-powered neural rendering, real-time physics simulation, spatial computing, and gesture recognition enable more realistic and adap
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Pincus, Robert. Final report for grant DE-FG02-06ER64182: "Evaluation and Improvement of the Cloud Resolving Model Component of the Multi-Scale Modeling Framework". Office of Scientific and Technical Information (OSTI), 2009. http://dx.doi.org/10.2172/1108698.

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Ma, Po Lun, and Panagiotis Stinis. Developing a simulator-based satellite dataset for using machine learning techniques to derive aerosol-cloud-precipitation interactions in models and observations in a consistent framework. Office of Scientific and Technical Information (OSTI), 2020. http://dx.doi.org/10.2172/1984697.

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Lytvynova, Svitlana H. Хмаро орієнтоване навчальне середовище загальноосвітнього навчального закладу. [б. в.], 2018. http://dx.doi.org/10.31812/0564/2451.

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Research goals: to outline the state of secondary education to implement a cloud-oriented learning environment (COLE), establishing research objectives: to determine the readiness of students to the introduction of COLE, to develop a conceptual framework of cooperation in COLE at the level of the institution, identify the actors interact COLE. The object of research supports the learning environment secondary schools; subject – a cloud-oriented learning environment of secondary schools. Research methods used: analysis of statistics and publications. Experimental research and conducted in secon
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Mitra, Sayan. Continuous Integration and Deployment Infrastructure for Rapid Testing of Autonomous Transportation Systems. Illinois Center for Transportation, 2024. http://dx.doi.org/10.36501/0197-9191/24-017.

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This project has led to the creation of an automated-testing infrastructure for autonomy code. The framework uses Jenkins, AWS Lambda, Docker, Kubernetes, and other open-source technologies. It was utilized and evaluated both for the Generalized Racing Intelligence Competition (GRAIC) and for evaluating student programming assignments for the principles of safe autonomy course (ECE484). This infrastructure has improved our capability to evaluate (autograde) student design assignments, and students can also receive precise feedback on their work as they progress through various design challenge
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You might also be interested in the extended bibliographies on the topic 'CLOUD FRAMEWORK' for particular source types:
Journal articles Dissertations / Theses Books
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