Academic literature on the topic 'Cloud burst'

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Journal articles on the topic "Cloud burst"

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Li, Yangchao, Qiang Liu, Wei Liu, Wenshuang Xian, Feifei Li, and Kai Zhang. "The Study of Radioactive Fallout Source of Low-Equivalent Nuclear Bursts Based on Nuclear Cloud Simulation Using the CFD-DPM." Atmosphere 15, no. 12 (2024): 1421. http://dx.doi.org/10.3390/atmos15121421.

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The activity-height distribution of radioactive particles in the stabilization cloud of a nuclear burst plays a crucial role in the radioactive fallout prediction model, serving as the source for transport, diffusion, and dose rate calculation modules. A gas-particle multiphase flow solver was developed using the OpenFOAM Computational Fluid Dynamics (CFD) library and discrete phase method (DPM) library under a two-way coupling regime to simulate the U.S. standard atmosphere of 1976 with good stability. The accuracy of the numerical model was verified through low-equivalent nuclear weapons tes
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P, Amruth Raj. "Cloud Burst Prediction System." International Journal for Research in Applied Science and Engineering Technology 13, no. 5 (2025): 1872–80. https://doi.org/10.22214/ijraset.2025.70589.

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Abstract: The Cloudburst Forecasting System has been created to enhance the precision in cloudburst forecasting. By utilizing AI models, this system processes weather reports and satellite and radar imagery to gauge the potential for an impending cloudburst and issues adequate early warnings. Improved accuracy ensures less life and property being threatened. Having GIS technology support will assist in equitably allocating resources since decision-makers can then factor in some physical attributes of housing stock that influence the vulnerabilities of the affected group. This would further lea
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KT, Tejashwini. "Cloud Burst Prediction System”." INTERNATIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 05 (2025): 1–9. https://doi.org/10.55041/ijsrem47769.

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Abstract- Cloudbursts are an extremely short duration, high intensity rainfall events that straits to flash floods, landslides leading to loss of life and property particularly in mountainous and vulnerable regions. It is already difficult to predict such phenomena because of their spatially localized or short-lived nature. The present study introduces a Cloudburst Prediction System that combines instantaneous weather data, satellite-based observations to predict and provide early warning signals for an upcoming cloudburst. The system uses atmospheric pressure, humidity, temperature, wind flow
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Paulson, Suzanne E., Peter J. Gallimore, Xiaobi M. Kuang, Jie Rou Chen, Markus Kalberer, and David H. Gonzalez. "A light-driven burst of hydroxyl radicals dominates oxidation chemistry in newly activated cloud droplets." Science Advances 5, no. 5 (2019): eaav7689. http://dx.doi.org/10.1126/sciadv.aav7689.

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Aerosol particles and their interactions with clouds are one of the most uncertain aspects of the climate system. Aerosol processing by clouds contributes to this uncertainty, altering size distributions, chemical composition, and radiative properties. Many changes are limited by the availability of hydroxyl radicals in the droplets. We suggest an unrecognized potentially substantial source of OH formation in cloud droplets. During the first few minutes following cloud droplet formation, the material in aerosols produces a near-UV light–dependent burst of hydroxyl radicals, resulting in concen
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PUNIAH, K. B., and A. C. DE. "CLOUD BURST OVER CALCUTTA AIRPORT." MAUSAM 25, no. 3 (2022): 503–4. http://dx.doi.org/10.54302/mausam.v25i3.5266.

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Uppenbrink, J. "GEOPHYSICS: Gamma-Ray Cloud Burst." Science 287, no. 5453 (2000): 549d—549. http://dx.doi.org/10.1126/science.287.5453.549d.

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Issawi, S. F., Halees A. Al, and M. Radi. "An Efficient Adaptive Load Balancing Algorithm for Cloud Computing Under Bursty Workloads." Engineering, Technology & Applied Science Research 5, no. 3 (2015): 795–800. https://doi.org/10.5281/zenodo.18801.

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Cloud computing is a recent, emerging technology in the IT industry. It is an evolution of previous models such as grid computing. It enables a wide range of users to access a large sharing pool of resources over the internet. In such complex system, there is a tremendous need for an efficient load balancing scheme in order to satisfy peak user demands and provide high quality of services. One of the challenging problems that degrade the performance of a load balancing process is bursty workloads. Although there are a lot of researches proposing different load balancing algorithms, most of the
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Deshpande, N. R., D. R. Kothawale, Vinay Kumar, and J. R. Kulkarni. "Statistical characteristics of cloud burst and mini-cloud burst events during monsoon season in India." International Journal of Climatology 38, no. 11 (2018): 4172–88. http://dx.doi.org/10.1002/joc.5560.

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Habe, Asao, and Kanji Ohta. "Gravitational Instability Induced by a Cloud-Cloud Collision: The Case of Head-on Collisions between Clouds with Different Sizes and Densities." Publications of the Astronomical Society of Japan 44, no. 3 (1992): 203–26. https://doi.org/10.1093/pasj/44.3.203.

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Abstract In order to investigate star formation triggered by cloud-cloud collisions, we performed axisymmetric numerical hydrodynamic calculations of supersonic, head-on collisions between non-identical clouds. Using axisymmetric smoothed particle hydrodynamics, we studied the condition of the gravitational instability of clouds. Non-identical cloud-cloud collisions, that is, collisions between clouds with different sizes and densities, are more frequent in interstellar space. We assumed that a small cloud is denser than a large cloud, and that both small and large clouds are gravitationally s
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Lahiff, Andrew, Shaun de Witt, Miguel Caballer, Giuseppe La Rocca, Stanislas Pamela, and David Coster. "Running HTC and HPC applications opportunistically across private, academic and public clouds." EPJ Web of Conferences 245 (2020): 07032. http://dx.doi.org/10.1051/epjconf/202024507032.

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The Fusion Science Demonstrator in the European Open Science Cloud for Research Pilot Project aimed to demonstrate that the fusion community can make use of distributed cloud resources. We developed a platform, Prominence, which enables users to transparently exploit idle cloud resources for running scientific workloads. In addition to standard HTC jobs, HPC jobs such as multi-node MPI are supported. All jobs are run in containers to ensure they will reliably run anywhere and are reproduceable. Cloud infrastructure is invisible to users, as all provisioning, including extensive failure handlin
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Dissertations / Theses on the topic "Cloud burst"

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Sladescu, Matthew. "Proactive Event Aware Cloud Elasticity Control." Thesis, The University of Sydney, 2015. http://hdl.handle.net/2123/14185.

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An event that can attract the interest of a large internet populace, can bring about large bursts in demand for event-associated resources. This phenomenon is notorious for degrading the QoS of numerous web-applications overwhelmed with workload bursts that accompany events like online ticket releases, sales events and result announcements. Such reduced QoS can translate to reduced revenue and degraded reputation for application providers. While cloud computing has the potential to alleviate this problem by offering computing resources on an as-needed basis to match event-associated demand, im
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Henrich, Michael. "The influence of temporal rainfall distribution and storm movement on flood depth in urban pluvial cloud burst modeling." Thesis, KTH, Hållbar utveckling, miljövetenskap och teknik, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-265572.

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Pluvial floods are the most difficult and to date least investigated phenomena in urban hydrology. While efforts are being made to increase the knowledge base concerning this type of flooding, a large part of the difficulty lies in the nature of the precipitation. Convective storms represent most of the larger intensity short term rainfall in urban areas and is also the raintype, that is expected to increase the most in the future. The rain cells of this type have a more distinct boundary, larger intensity, a smaller extent and a shorter life span, than frontal rains. Combined with the low ava
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Centurion, Adriana Molina. "Impacto das rajadas no desempenho de serviços executados em ambientes em nuvens." Universidade de São Paulo, 2015. http://www.teses.usp.br/teses/disponiveis/55/55134/tde-10092015-144229/.

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Esta tese apresenta a caracterização de desempenho dos serviços executados em um ambiente em nuvem, quando são consideradas rajadas de diferentes origens, intensidades e variabilidades nas cargas de trabalho. Os resultados mostram que a presença de rajadas no processo de chegada das requisições e/ou nas demandas de serviço, ocasiona uma considerável degradação no desempenho dos serviços e, portanto, devem ser consideradas nos modelos de cargas de trabalhos e nas atividades voltadas para avaliação de desempenho em computação em nuvem. Considerando-se a grande influência das rajadas, é proposta
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Maeda, Kazuki. "Simulation, Experiments, and Modeling of Cloud Cavitation with Application to Burst Wave Lithotripsy." Thesis, 2018. https://thesis.library.caltech.edu/11007/7/fig2_9.mp4.

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<p>Modeling, numerical simulations, and experiments are used to investigate the dynamics of cavitation bubble clouds induced by strong ultrasound waves.</p> <p>A major application of this work is burst wave lithotripsy (BWL), recently proposed method of lithotripsy that uses pulses (typically 10 wavelengths each) of highintensity, focused ultrasound at a frequency of <i>O</i>(100) kHz and an amplitude of <i>O</i>(1) MPa to break kidney stones. BWL is an alternative to standard shockwave lithotripsy (SWL), which uses much higher amplitude shock waves delivered at a typically much lower rate.
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Nina, Leonor Martins Durão Pereira. "Salesforce (CRM): An ever-growing industry or a bubble about to burst?" Master's thesis, 2020. http://hdl.handle.net/10362/115568.

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This thesis is an equity research on software-as-a -service company, Salesforce. It explores the impact of trends in the macroeconomic market, namely the rise in demand for multi- device cloud services, internet of things (IoT) and artificial intelligence (AI). An analysis of the company’s microeconomic factors such as its margins, its CAPEX, NWC and cash conversion cycle enabled us to better assess the evolution of the company, given a benchmark of tier 1 comparable companies; Adobe Inc and SAP SE within the industry. These features helped determine projections for forecast
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Wang, Yu-Jie, and 王裕傑. "An Adaptive Load Balancing in Cloud Computing During Bursty Traffic." Thesis, 2013. http://ndltd.ncl.edu.tw/handle/52059329792218884701.

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碩士<br>國立中正大學<br>電機工程研究所<br>101<br>In recent years, due to the explosive growth of Internet applications and services, the population of Internet increases rapidly. Popular websites may have many users per second while browsing caused the back-end server denial of service. With the rapid development of cloud computing, users need more services and better qualities. Therefore, we have to think for how to enhance the performance of cloud computing and provide users more and better services. Most servers utilize the cluster architecture to solve this problem. Take advantage of many servers to shar
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Huang, Yu-han, and 黃郁涵. "Analysis of a Two-Threshold Hysteresis Power Saving Mechanism in Cloud Computing with Bursty Arrivals." Thesis, 2013. http://ndltd.ncl.edu.tw/handle/01304609310009315677.

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碩士<br>國立臺灣科技大學<br>電機工程系<br>101<br>In recent years, cloud computing has been more and more popular all over the world as it greatly lowers the threshold for deploying and maintaining web applications. Cloud computing infrastructure is so huge that energy consumption is very significant. On the other hand, energy efficiency has become one of the most prevalent global issues due to the concerns on greenhouse gas emissions and climate change. In this thesis, we study the power saving mechanism for cloud computing. We propose a two-threshold hysteresis power saving mechanism based on the buffer occ
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Books on the topic "Cloud burst"

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Safety, American Institute of Chemical Engineers Center for Chemical Process. Guidelines for vapor cloud explosion, pressure vessel burst, BLEVE, and flash fire hazards. 2nd ed. Wiley, 2010.

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Alan, Stern S., and United States. National Aeronautics and Space Administration., eds. Gamma-ray burst constraints on the galactic frequency of extra-solar Oort clouds. National Aeronautics and Space Administration, 1994.

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Alan, Stern S., and United States. National Aeronautics and Space Administration., eds. Gamma-ray burst constraints on the galactic frequency of extra-solar Oort clouds. National Aeronautics and Space Administration, 1994.

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Mann, Christopher. Midnight Cloud Burst: A Collection of Modern Short Stories. Authors Choice Press, 2001.

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Guidelines for Vapor Cloud Explosion, Pressure Vessel Burst, BLEVE, and Flash Fire Hazards. John Wiley & Sons, Inc., 2010. http://dx.doi.org/10.1002/9780470640449.

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Safety), CCPS (Center for Chemical Process. Guidelines for Vapor Cloud Explosion, Pressure Vessel Burst, BLEVE, and Flash Fire Hazards. American Institute of Chemical Engineers, 2011.

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Safety), CCPS (Center for Chemical Process. Guidelines for Vapor Cloud Explosion, Pressure Vessel Burst, BLEVE, and Flash Fire Hazards. American Institute of Chemical Engineers, 2011.

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CCPS (Center for Chemical Process Safety). Guidelines for Vapor Cloud Explosion, Pressure Vessel Burst, Bleve and Flash Fire Hazards. Wiley & Sons, Incorporated, John, 2010.

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Guidelines for vapor cloud explosion, pressure vessel burst, BLEVE, and flash fire hazards. 2nd ed. Wiley, 2010.

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CCPS (Center for Chemical Process Safety). Guidelines for Vapor Cloud Explosion, Pressure Vessel Burst, BLEVE, and Flash Fire Hazards. American Institute of Chemical Engineers, 2010.

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Book chapters on the topic "Cloud burst"

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Yuan, David Yu, and Tony Wildish. "Bioinformatics Application with Kubeflow for Batch Processing in Clouds." In Lecture Notes in Computer Science. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-59851-8_24.

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Abstract Bioinformatics pipelines make extensive use of HPC batch processing. The rapid growth of data volumes and computational complexity, especially for modern applications such as machine learning algorithms, imposes significant challenges to local HPC facilities. Many attempts have been made to burst HPC batch processing into clouds with virtual machines. They all suffer from some common issues, for example: very high overhead, slow to scale up and slow to scale down, and nearly impossible to be cloud-agnostic. We have successfully deployed and run several pipelines on Kubernetes in OpenS
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Swarnakar, Soumen, Biplab Mal, Suchetana Ray, and Chandan Banerjee. "Burst Probability Based Dynamic Load Balancing Algorithm in Cloud Environment." In Learning and Analytics in Intelligent Systems. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-42363-6_87.

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Saraswat, Anjali, and Satish Pipralia. "Building Disaster Resilience to Cloud Burst Events in Uttrakhand, India." In 5th World Congress on Disaster Management. Routledge, 2022. http://dx.doi.org/10.4324/9781003341932-62.

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Miyawaki, Ryosuke, Masahiko Hayashi, and Tetsuo Hasegawa. "The Structure of the W49A Molecular Cloud Complex: Burst of Star Formation in the 105 M⊙ Core." In Star Forming Regions. Springer Netherlands, 1987. http://dx.doi.org/10.1007/978-94-009-4782-5_54.

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

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AbstractTraditional usage models of Supercomputing centres have been extended by High-Throughput Computing (HTC), High-Performance Data Analytics (HPDA) and Cloud Computing. The complexity of current compute platforms calls for solutions to simplify usage and conveniently orchestrate computing tasks. These enable also non-expert users to efficiently execute Big Data workflows. In this context, the LEXIS project (‘Large-scale EXecution for Industry and Society’, H2020 GA 825532, https://lexis-project.eu) sets up an orchestration platform for compute- and data-intensive workflows. Its main objec
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Lin, Yanying, Kejiang Ye, Yongkang Li, Peng Lin, Yingfei Tang, and Chengzhong Xu. "BBServerless: A Bursty Traffic Benchmark for Serverless." In Cloud Computing – CLOUD 2021. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-96326-2_4.

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Putri, Dinda Adelia, Syafriani, and Trismidianto. "Interaction of Westerly Wind Burst and Super Cloud Cluster in Improvement of the Heavy Rainfall in West Sumatra During MJO Active (Case Study; June 16, 2016)." In Springer Proceedings in Physics. Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-97-0740-9_34.

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Tolosana-Calasanz, Rafael, José Ángel Bañares, Congduc Pham, and Omer F. Rana. "Revenue-Based Resource Management on Shared Clouds for Heterogenous Bursty Data Streams." In Economics of Grids, Clouds, Systems, and Services. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-35194-5_5.

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Katz, Jonathan I. "Soft Gamma Repeaters." In The Biggest Bangs. Oxford University PressNew York, NY, 2002. http://dx.doi.org/10.1093/oso/9780195145700.003.0011.

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Abstract The year 1986 marked the high point of the view of gamma-ray bursts as a comparatively nearby phenomenon, probably occurring on magnetic neutron stars in our galaxy. Five separate lines of evidence and argument pointed in that direction: the complexity of their light curves, the compactness argument against excessively high luminosities, the identification of the super burst of March 5, 1979, with a supernova remnant in the Large Magellanic Cloud, the reports of lines in the gamma-ray spectra of bursts, and the apparent counterparts of bursts on archival sky photographs.
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"Vapor Cloud Explosions." In Guidelines for Vapor Cloud Explosion, Pressure Vessel Burst, BLEVE, and Flash Fire Hazards. John Wiley & Sons, Inc., 2010. http://dx.doi.org/10.1002/9780470640449.ch6.

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Conference papers on the topic "Cloud burst"

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S, Herin Shani, and G. Nagappan. "Cloud Burst Prediction System using Machine Learning." In 2024 OPJU International Technology Conference (OTCON) on Smart Computing for Innovation and Advancement in Industry 4.0. IEEE, 2024. http://dx.doi.org/10.1109/otcon60325.2024.10687554.

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S, Jagadeeshwaran, Srinivasan Rama Krishnan, Vignesh Kumar A, and Raja Priya D. "Improving Cloud Burst Prediction with Meteorological Analysis Driven by Machine Learning." In 2024 International Conference on Smart Technologies for Sustainable Development Goals (ICSTSDG). IEEE, 2024. https://doi.org/10.1109/icstsdg61998.2024.11026751.

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Ibrahim, S. P. Siddique, N. Venkata Harika, N. Mohitha Reddy, K. Srija, P. Shiva Sahithi, and A. Kohima. "Application of Machine Learning and Data Mining Techniques for Accurate Cloud Burst Prediction." In 2024 International Conference on IoT Based Control Networks and Intelligent Systems (ICICNIS). IEEE, 2024. https://doi.org/10.1109/icicnis64247.2024.10823388.

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Rakov, V. A., M. A. Uman, G. R. Hoffman, and M. Brook. "Electric Field Pulse Bursts in Cloud-to-Ground Lightning Discharges." In 11th International Zurich Symposium and Technical Exhibition on Electromagnetic Compatibility. IEEE, 1995. https://doi.org/10.23919/emc.1995.10784231.

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Thomaz, Guilherme A., João Pedro M. F. Ferreira, Thierno Barry, Matteo Sammarco, and Miguel Elias M. Campista. "UBOTA Protocol - UDP Bursts for Over-the-Air Secure Vehicular Software Updates." In 2024 IEEE 13th International Conference on Cloud Networking (CloudNet). IEEE, 2024. https://doi.org/10.1109/cloudnet62863.2024.10815818.

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Maeda, Kazuki, Adam Maxwell, Tim Colonius, Wayne Kreider, and Michael Bailey. "Video: Cloud cavitation in burst wave lithotripsy." In 71th Annual Meeting of the APS Division of Fluid Dynamics. American Physical Society, 2018. http://dx.doi.org/10.1103/aps.dfd.2018.gfm.v0100.

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Kikuchi, Shinji, and Yasuhide Matsumoto. "What will happen if cloud management operations burst out?" In 2011 IFIP/IEEE International Symposium on Integrated Network Management (IM 2011). IEEE, 2011. http://dx.doi.org/10.1109/inm.2011.5990679.

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Enache, Dragos, Oana Chenaru, Loretta Ichim, and Dan Popescu. "Residual Water Burst Detection Using WSN Measurements and Cloud Analysis." In 2018 26th Mediterranean Conference on Control and Automation (MED). IEEE, 2018. http://dx.doi.org/10.1109/med.2018.8442869.

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Kirci, Pinar, and A. Halim Zaim. "A Novel Multicasting Innovation with Optical Burst Switching." In 2015 3rd International Conference on Future Internet of Things and Cloud (FiCloud). IEEE, 2015. http://dx.doi.org/10.1109/ficloud.2015.58.

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Birke, Robert, Mathias Bjoerkqvist, Evangelia Kalyvianaki, and Lydia Y. Chen. "Meeting Latency Target in Transient Burst: A Case on Spark Streaming." In 2017 IEEE International Conference on Cloud Engineering (IC2E). IEEE, 2017. http://dx.doi.org/10.1109/ic2e.2017.17.

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Reports on the topic "Cloud burst"

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Chang, A. Scaling Law for Cloud-Rise Velocity vs. Scaled Height of Burst (SHOB). Office of Scientific and Technical Information (OSTI), 2020. http://dx.doi.org/10.2172/1658701.

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Paulson, Suzanne, Jiaqi Shen, and Catherin Banach. Cloud Water Chemistry and Aerosol Processing: Assessing the Hydroxyl Radical Burst in Newly Formed Cloud Droplets Field Campaign Report. Office of Scientific and Technical Information (OSTI), 2024. http://dx.doi.org/10.2172/2349010.

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