Relevant bibliographies by topics / Multi-Clouds

Contents

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

Academic literature on the topic 'Multi-Clouds'

Author: Grafiati
Published: 3 June 2025
Last updated: 31 July 2025

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Journal articles on the topic "Multi-Clouds"

1

Park, Minjun. "Proposal of Blockchain based New Framework for Multi Clouds." International Journal of Science and Research (IJSR) 12, no. 5 (2023): 1983–87. http://dx.doi.org/10.21275/sr23523073004.

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Yin, Kai Ze, and Hai Hang Wang. "MCACM: A Cloud Storage Access Control Model for Multi-Clouds Environment Based on XACML." Applied Mechanics and Materials 713-715 (January 2015): 2451–54. http://dx.doi.org/10.4028/www.scientific.net/amm.713-715.2451.

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Cloud storage as a popular application in cloud services, are developing from single cloud service provider towards multiple cloud service providers. As a consequence, users need to manage their files from different sources and share in multi-clouds. While the conventional access control models are no longer suitable in multi-clouds environment. Therefore, a multi-clouds access control model based on XACML, named MCACM, is proposed here to implement access control in multi-clouds environment. In this model, cross-clouds access control is enabled through extending standard XACML framework. At l
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Wang, Yuanmou, Chunmei Hu, Zhi Ding, Zhiyi Wang, and Xuguang Tang. "All-Day Cloud Classification via a Random Forest Algorithm Based on Satellite Data from CloudSat and Himawari-8." Atmosphere 14, no. 9 (2023): 1410. http://dx.doi.org/10.3390/atmos14091410.

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It remains challenging to accurately classify complicated clouds owing to the various types of clouds and their distribution on multiple layers. In this paper, multi-band radiation information from the geostationary satellite Himawari-8 and the cloud classification product of the polar orbit satellite CloudSat from June to September 2018 are investigated. Based on sample sets matched by two types of satellite data, a random forest (RF) algorithm was applied to train a model, and a retrieval method was developed for cloud classification. With the use of this method, the sample sets were inverte
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Ratsamee, Photchara, Pudit Tempattarachoke, Laphonchai Jirachuphun, Masafumi Miwa, and Komsoon Somprasong. "Point Cloud Estimation During Aerial-Aquatic Transition in Monocular Camera-Based Localization and Mapping." Journal of Robotics and Mechatronics 35, no. 6 (2023): 1645–54. http://dx.doi.org/10.20965/jrm.2023.p1645.

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This paper presents a multi-box interpolation method to estimate point clouds during aerial-aquatic transition. Our proposed method is developed based on an investigation of noise characteristics of aerial point clouds and aquatic point clouds. To evaluate the performance of realistic point cloud estimation, we compare the interpolation method with the Gaussian mixture method. We also investigate how single-box and multi-box approaches deal with noise in point cloud estimation. The simulation and the experimental results show that the estimated point cloud is accurate even when the aerial and
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Sreeja, C. "Multi Clouds in Video Service Hosting." International Journal of Digital Contents and Applications for Smart Devices 4, no. 1 (2017): 19–26. http://dx.doi.org/10.21742/ijdcasd.2016.4.1.04.

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Sreeja, C. "Multi Clouds in Video Service Hosting." International Journal of Digital Contents and Applications for Smart Devices 4, no. 1 (2017): 19–26. http://dx.doi.org/10.21742/ijdcasd.2017.4.1.04.

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Chuang, Tzu-Yi, and Jen-Jer Jaw. "Multi-Feature Registration of Point Clouds." Remote Sensing 9, no. 3 (2017): 281. http://dx.doi.org/10.3390/rs9030281.

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Grajek, Zofia, and Wiktoria Dyszy. "Przestrzenna i czasowa zmienność rodzajów chmur nad Polską w latach 1996-2020." Badania Fizjograficzne Seria A - Geografia Fizyczna 13, A 73 (2023): 79–103. http://dx.doi.org/10.14746/bfg.2022.13.5.

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The subject of the study is a comprehensive qualitative and quantitative analysis of the type of cloud cover over Poland in 1996–2020. The analysis was based on the characteristics of particular types of clouds at three levels, based on hourly measurement data from 36 meteorological stations (IMWM-NRI). The variability of the share of cloud types was analysed on three levels in the multi-annual, annual and daily course. Maps of spatial distribution for selected clouds were plotted. In the study of the multi-year period, clouds of the low-level were observed most frequently, and the most numero
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Ojha, Pranav. "Enhanced Cloud Computing Security Based on Single to Multi Cloud Systems." Journal of Research in Science and Engineering 6, no. 8 (2024): 52–56. http://dx.doi.org/10.53469/jrse.2024.06(08).12.

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Cloud computing has increased rapidly in many organizations and then it's utilized. Cloud computing provides safe data. Cloud computing provides many advantages in terms of low cost and accessibility of data. Ensuring the security of cloud computing is a major factor in the cloud computing environment, as users often store sensitive information with cloud storage providers but these providers may be untrusted. Dealing with "single cloud" providers is predicted to become less popular with customers due to risks of service availability failure and the possibility of malicious insiders in the sin
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Zhang, Le, Jian Sun, and Qiang Zheng. "3D Point Cloud Recognition Based on a Multi-View Convolutional Neural Network." Sensors 18, no. 11 (2018): 3681. http://dx.doi.org/10.3390/s18113681.

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The recognition of three-dimensional (3D) lidar (light detection and ranging) point clouds remains a significant issue in point cloud processing. Traditional point cloud recognition employs the 3D point clouds from the whole object. Nevertheless, the lidar data is a collection of two-and-a-half-dimensional (2.5D) point clouds (each 2.5D point cloud comes from a single view) obtained by scanning the object within a certain field angle by lidar. To deal with this problem, we initially propose a novel representation which expresses 3D point clouds using 2.5D point clouds from multiple views and t
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Dissertations / Theses on the topic "Multi-Clouds"

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Kessaci, Yacine. "Ordonnancement multi-critère sur Clouds." Phd thesis, Université des Sciences et Technologie de Lille - Lille I, 2013. http://tel.archives-ouvertes.fr/tel-00915043.

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Le cloud computing a émergé au cours de la dernière décennie pour être largement adopté aujourd'hui dans plusieurs domaines de l'informatique. Il consiste à proposer des ressources axées, ou non, sur le marché sous forme de services qui peuvent être consommés de manière souple et transparente. Dans cette thèse, nous traitons le problème d'ordonnancement, un des enjeux majeurs du cloud. Selon la configuration de cloud ciblée, nous avons identifié trois niveaux d'ordonnancement : niveau service, niveau tâche et niveau machine virtuelle. Nous revisitons la modélisation du problème, la conception
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Espling, Daniel. "Metadata Management in Multi-Grids and Multi-Clouds." Licentiate thesis, Umeå universitet, Institutionen för datavetenskap, 2011. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-51159.

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Grid computing and cloud computing are two related paradigms used to access and use vast amounts of computational resources. The resources are often owned and managed by a third party, relieving the users from the costs and burdens of acquiring and managing a considerably large infrastructure themselves. Commonly, the resources are either contributed by different stakeholders participating in shared projects (grids), or owned and managed by a single entity and made available to its users with charging based on actual resource consumption (clouds). Individual grid or cloud sites can form collab
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Lin, Wenjie. "Secure Multi-party Authorization in Clouds." The Ohio State University, 2015. http://rave.ohiolink.edu/etdc/view?acc_num=osu1429041745.

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Amedro, Brian. "Optimizing an active object framework from multi-cores to multi-clouds." Nice, 2010. http://www.theses.fr/2010NICE4092.

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Les processeurs modernes tendent à devenir massivement multi-coeurs, tandis que les clusters s’ouvrent vers l’Internet pour devenir des "Clouds". Ainsi, d’ici à quelques années, nous par- lerons peut-être de Cloud Haute Performance. Cette ouverture rend les plateformes de calcul plus accessibles et induit un intérêt croissant pour les langages de programmation adaptés à ces architectures hybrides où l’on rencontre aussi bien des espaces mémoire partagé que distribués. Cette thèse de doctorat s’inscrit dans ce contexte et présente ainsi la conception, l’implémentation et l’évaluation de différe
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Lakew, Ewnetu Bayuh. "Managing Resource Usage and Allocations in Multi-Cluster Clouds." Licentiate thesis, Umeå universitet, Institutionen för datavetenskap, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-87580.

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The emergence of large-scale Internet services has fueled a trend toward large-scale systems composed of geographically distributed clusters. Managing resource allocations and resource usage is an important task for such services. Resource allocations and resource usage management mechanisms for services running across clusters play vital roles in the performance of the entire system, economical sustainability of the provider, and level of customers satisfaction provided by the system. However, when providing the utmost customer satisfaction the service provider ought to make sure not to over-
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Koch, Dorothy, Yves Balkanski, Susanne E. Bauer, et al. "Soot microphysical effects on liquid clouds, a multi-model investigation." Universitätsbibliothek Leipzig, 2015. http://nbn-resolving.de/urn:nbn:de:bsz:15-qucosa-184919.

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We use global models to explore the microphysical effects of carbonaceous aerosols on liquid clouds. Although absorption of solar radiation by soot warms the atmosphere, soot may cause climate cooling due to its contribution to cloud condensation nuclei (CCN) and therefore cloud brightness. Six global models conducted three soot experiments; four of the models had detailed aerosol microphysical schemes. The average cloud radiative response to biofuel soot (black and organic carbon), including both indirect and semi-direct effects, is −0.11Wm−2, comparable in size but opposite in sign to the re
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Koch, Dorothy, Yves Balkanski, Susanne E. Bauer, et al. "Soot microphysical effects on liquid clouds, a multi-model investigation." Copernicus Publication, 2011. https://ul.qucosa.de/id/qucosa%3A13767.

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We use global models to explore the microphysical effects of carbonaceous aerosols on liquid clouds. Although absorption of solar radiation by soot warms the atmosphere, soot may cause climate cooling due to its contribution to cloud condensation nuclei (CCN) and therefore cloud brightness. Six global models conducted three soot experiments; four of the models had detailed aerosol microphysical schemes. The average cloud radiative response to biofuel soot (black and organic carbon), including both indirect and semi-direct effects, is −0.11Wm−2, comparable in size but opposite in sign to the re
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Xhagjika, Vamis. "Resource, data and application management for cloud federations and multi-clouds." Doctoral thesis, Universitat Politècnica de Catalunya, 2017. http://hdl.handle.net/10803/409728.

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Distributed Real-Time Media Processing refers to classes of highly distributed, delay no-tolerant applications that account for the majority of the data traffic generated in the world today. Real-Time audio/video conferencing and live content streaming are of particular research interests as technology forecasts predict video traffic surpassing every other type of data traffic in the world in the near future. These applications are very sensitive to both communication properties such as latency, jitter, packet loss, bit rate as well as backend stream processing load profiles. In this work we
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Chen, Xi. "Diagnosing, predicting and managing application performance in virtualised multi-tenant clouds." Thesis, Imperial College London, 2016. http://hdl.handle.net/10044/1/42541.

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As the computing industry enters the cloud era, multicore architectures and virtualisation technologies are replacing traditional IT infrastructures for several reasons including reduced infrastructure costs, lower energy consumption and ease of management. Cloud-based software systems are expected to deliver reliable performance under dynamic workloads while efficiently allocating resources. However, with the increasing diversity and sophistication of the environment, managing performance of applications in such environments becomes difficult. The primary goal of this thesis is to gain insigh
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AlJahdali, Hussain Lafi H. "Improving multi-tenancy security by controlling resource allocation in IaaS public clouds." Thesis, University of Leeds, 2017. http://etheses.whiterose.ac.uk/21361/.

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In a world where the requirements of computing systems are rapidly changing, the need for a dynamic, yet a cost-effective system becomes urgent. Besides, the need of dynamically scale-up and scale-down, mobility, and reduce both individuals and enterprises share costs and expenses. Thus, such needs and more are fulfilled by Cloud Computing. Mostly, Cloud Computing is promoted as a new paradigm which offers a set of benefits for both providers and consumers. For service providers, it gives an ease of management, reduced maintenance and operational costs, better utilisation of resources, and ext
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Books on the topic "Multi-Clouds"

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Tuma, Petr. Multi Clouds 13 POD. Association for Computing Machinery, 2013.

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Proceedings of the 2013 International Workshop on Multi-Cloud Applications and Federated Clouds. Association for Computing Machinery, 2013.

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Multi-Cloud Strategy for Cloud Architects: Learn How to Adopt and Manage Public Clouds by Leveraging BaseOps, FinOps, and DevSecOps. de Gruyter GmbH, Walter, 2023.

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Multi-Cloud Strategy for Cloud Architects: Learn How to Adopt and Manage Public Clouds by Leveraging Baseops, Finops, and Devsecops. Packt Publishing, Limited, 2023.

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Brooding Clouds. Univ of Natal Pr, 2008.

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Cartwright, Diva Joan. Moon, Sun Showers, Rainbows and Whipped Cream Clouds. Lulu Press, Inc., 2008.

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Fuzzi, Sandro, and Dietmar Wagenbach. Cloud Multi-Phase Processes and High Alpine Air and Snow Chemistry: Ground-Based Cloud Experiments and Pollutant Deposition in the High Alps. Springer London, Limited, 2012.

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Fuzzi, Sandro, and Dietmar Wagenbach. Cloud Multi-Phase Processes and High Alpine Air and Snow Chemistry: Ground-Based Cloud Experiments and Pollutant Deposition in the High Alps. Springer Berlin / Heidelberg, 2012.

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(Editor), Sandro Fuzzi, and Dietmar Wagenbach (Editor), eds. Cloud Multi-phase Processes and High Alpine Air and Snow Chemistry: Ground-based Cloud Experiments and Pollutant Deposition in the High Alps (Transport ... of Pollutants in the Troposphere). Springer, 1997.

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Osenton, Tom. Boomer Destiny. Greenwood Publishing Group, Inc., 2009. http://dx.doi.org/10.5040/9798400620683.

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The U.S. experiences a major crisis about every eighty years, and the last big crisis started more than eighty years ago. If history is any indicator, argues author Tom Osenton, we are in the very early stages of the next major crisis—one that could make the Great Depression seem like a day at the beach. The storm clouds are on the horizon: A slowing U.S. economy, major banks failing, a weakening dollar, the subprime mortgage debacle, a widening gap between the wealthy and working class, credit delinquencies and bankruptcies on the rise, infrastructure crumbling, healthcare in crisis—the list
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Book chapters on the topic "Multi-Clouds"

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Mithila, Shifat P., Peter Franz, and Gerald Baumgartner. "Scheduling Many-Task Applications on Multi-clouds and Hybrid Clouds." In Asynchronous Many-Task Systems and Applications. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-32316-4_6.

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Petcu, Dana. "Service Quality Assurance in Multi-clouds." In Economics of Grids, Clouds, Systems, and Services. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-43177-2_6.

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Gong, Yi, and Yuan-Fang Wang. "Multi-View Stereo Point Clouds Visualization." In Advances in Visual Computing. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-24028-7_26.

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Shen, Lu, Shifang Feng, Jinjin Sun, Zhongwei Li, Gang Wang, and Xiaoguang Liu. "CloudS: A Multi-cloud Storage System with Multi-level Security." In Algorithms and Architectures for Parallel Processing. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-27137-8_51.

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Pflanzner, Tamas, Roland Tornyai, and Attila Kertesz. "Towards Enabling Clouds for IoT: Interoperable Data Management Approaches by Multi-clouds." In Computer Communications and Networks. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-33124-9_8.

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Sumathi, G., and S. Rajesh. "Mediator-Based Effective Resource Allotment on Multi-Clouds." In Operationalizing Multi-Cloud Environments. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-74402-1_8.

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Arshad, Junaid, Imran Ali Jokhio, and Mahmood Shah. "Intrusion Damage Assessment for Multi-stage Attacks for Clouds." In Communications in Computer and Information Science. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-28962-0_14.

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Oehler, Bastian, Joerg Stueckler, Jochen Welle, Dirk Schulz, and Sven Behnke. "Efficient Multi-resolution Plane Segmentation of 3D Point Clouds." In Intelligent Robotics and Applications. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-25489-5_15.

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Leite, Alessandro Ferreira, and Alba Cristina Magalhaes Alves de Melo. "Energy-Aware Multi-Agent Server Consolidation in Federated Clouds." In Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering. Springer International Publishing, 2013. http://dx.doi.org/10.1007/978-3-319-03874-2_8.

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Petri, Ioan, Javier Diaz-Montes, Omer Rana, Yacine Rezgui, Manish Parashar, and Luiz F. Bittencourt. "Coordinating Data Analysis and Management in Multi-layered Clouds." In Internet of Things. IoT Infrastructures. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-47063-4_37.

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Conference papers on the topic "Multi-Clouds"

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Shi, Chenglong, Wenjing Xiao, Miaojiang Chen, Rui Wang, Yixue Hao, and Long Hu. "Edgraph: Dynamic GNN Inference with Multi-edge Clouds Collaboration." In 2024 4th International Conference on Computer Science, Electronic Information Engineering and Intelligent Control Technology (CEI). IEEE, 2024. https://doi.org/10.1109/cei63587.2024.10871287.

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Mao, Longkun, De Xing, Xiaorong Zhang, and Guijuan Wang. "Domain Adaptation on Point Clouds via Multi-Modal Representation Learning." In 2024 17th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI). IEEE, 2024. https://doi.org/10.1109/cisp-bmei64163.2024.10906110.

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Lo, Yui, Yuqian Chen, Dongnan Liu, et al. "TractShapeNet: Efficient Multi-Shape Learning with 3D Tractography Point Clouds." In 2025 IEEE 22nd International Symposium on Biomedical Imaging (ISBI). IEEE, 2025. https://doi.org/10.1109/isbi60581.2025.10981095.

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"Multi-cloud and Multi-data Stores - The Challenges Behind Heterogeneous Data Models." In Special Session on Multi-Clouds. SCITEPRESS - Science and and Technology Publications, 2014. http://dx.doi.org/10.5220/0004974607030713.

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"A Multi-Cloud Framework for Measuring and Describing Performance Aspects of Cloud Services Across Different Application Types." In Special Session on Multi-Clouds. SCITEPRESS - Science and and Technology Publications, 2014. http://dx.doi.org/10.5220/0004975407140721.

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"Multi-dimensional Resource Allocation for Data-intensive Large-scale Cloud Applications." In Special Session on Multi-Clouds. SCITEPRESS - Science and and Technology Publications, 2014. http://dx.doi.org/10.5220/0004971906910702.

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"EU Project SeaClouds - Adaptive Management of Service-based Applications Across Multiple Clouds." In Special Session on Multi-Clouds. SCITEPRESS - Science and and Technology Publications, 2014. http://dx.doi.org/10.5220/0004979507580763.

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"HS4MC - Hierarchical SLA-based Service Selection for Multi-Cloud Environments." In Special Session on Multi-Clouds. SCITEPRESS - Science and and Technology Publications, 2014. http://dx.doi.org/10.5220/0004979707220734.

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"Preliminary Design of a Platform-as-a-Service to Provide Security in Cloud." In Special Session on Multi-Clouds. SCITEPRESS - Science and and Technology Publications, 2014. http://dx.doi.org/10.5220/0004979307520757.

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"Towards Bridging the Gap Between Scalability and Elasticity." In Special Session on Multi-Clouds. SCITEPRESS - Science and and Technology Publications, 2014. http://dx.doi.org/10.5220/0004975307460751.

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Reports on the topic "Multi-Clouds"

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Shields, Janet E., Monette E. Karr, Art R. Burden, et al. Research toward Multi-site Characterization of Sky Obscuration by Clouds. Defense Technical Information Center, 2009. http://dx.doi.org/10.21236/ada547055.

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Feingold, Graham, and Allison McComiskey. The Radiative Properties of Small Clouds: Multi-Scale Observations and Modeling. Office of Scientific and Technical Information (OSTI), 2013. http://dx.doi.org/10.2172/1093864.

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Sabo, N., A. Beaulieu, D. Bélanger, Y. Belzile, and B. Piché. The GeoHashTree: a multi-resolution data structure for the management of point clouds. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 2014. http://dx.doi.org/10.4095/293383.

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Wehr, Tobias, ed. EarthCARE Mission Requirements Document. European Space Agency, 2006. http://dx.doi.org/10.5270/esa.earthcare-mrd.2006.

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ESA's EarthCARE (Cloud, Aerosol and Radiation Explorer) mission - scheduled to be launched in 2024 - is the largest and most complex Earth Explorer to date and will advance our understanding of the role that clouds and aerosols play in reflecting incident solar radiation back into space and trapping infrared radiation emitted from Earth's surface. The mission is being implemented in cooperation with JAXA (Japan Aerospace Exploration Agency). It carries four scientific instruments. The Atmospheric Lidar (ATLID), operating at 355 nm wavelength and equipped with a high-spectral resolution and dep
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Xavier, Prince, Martin Willett, Tim Graham, et al. Assessment of the Met Office Global Coupled model version 4 (GC4) configurations. Met Office, 2024. http://dx.doi.org/10.62998/uzui3766.

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The Global Coupled model version 4 (GC4) is an upgraded configuration of the MetUM system, building upon its predecessor, GC3.0/3.1. It incorporates various improvements and changes in the atmospheric and land components (Global Atmosphere 8 and Global Land 9 - GA8GL9) while keeping the ocean component (Global Ocean 6 - GO6) unchanged, except for minor bug fixes. The GC4 model introduces several enhancements, such as the drag package for land surface and hydrology, improvements in radiation and large-scale precipitation parametrisations, advancements in the boundary layer and convection repres
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McKinnon, Mark, Sean DeCrane, and Steve Kerber. Four Firefighters Injured in Lithium-Ion Battery Energy Storage System Explosion -- Arizona. UL Firefighter Safety Research Institute, 2020. http://dx.doi.org/10.54206/102376/tehs4612.

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On April 19, 2019, one male career Fire Captain, one male career Fire Engineer, and two male career Firefighters received serious injuries as a result of cascading thermal runaway within a 2.16 MWh lithium-ion battery energy storage system (ESS) that led to a deflagration event. The smoke detector in the ESS signaled an alarm condition at approximately 16:55 hours and discharged a total flooding clean agent suppressant (Novec 1230). The injured firefighters were members of a hazardous materials (HAZMAT) team that arrived on the scene at approximately 18:28 hours. The HAZMAT team noted low-lyin
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