Academic literature on the topic 'Cloud burst'

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Journal articles on the topic "Cloud burst"

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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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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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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 concentrations of 0.1 to 3.5 micromolar aqueous OH ([OH]aq). The source of this burst is previously unrecognized chemistry between iron(II) and peracids. The contribution of the “OH burst” to total OH in droplets varies widely, but it ranges up to a factor of 5 larger than previously known sources. Thus, this new process will substantially enhance the impact of clouds on aerosol properties.
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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 handling, is completely automated. On-premises cloud resources can be utilised and at times of peak demand burst onto external clouds. In addition to the traditional “cloud-bursting” onto a single cloud, Prominence allows for bursting across many clouds in a hierarchical manner. Job requirements are taken into account, so jobs with special requirements, e.g. high memory or access to GPUs, are sent only to appropriate clouds. Here we describe Prominence, its architecture, the challenges of using many clouds opportunistically and report on our experiences with several fusion use cases.
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Issawi, S. F., A. Al Halees, 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. http://dx.doi.org/10.48084/etasr.554.

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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 them neglect the problem of bursty workloads. Motivated by this problem, this paper proposes a new burstness-aware load balancing algorithm which can adapt to the variation in the request rate by adopting two load balancing algorithms: RR in burst and Random in non-burst state. Fuzzy logic is used in order to assign the received request to a balanced VM. The algorithm has been evaluated and compared with other algorithms using Cloud Analyst simulator. Results show that the proposed algorithm improves the average response time and average processing time in comparison with other algorithms.
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Chen, Junjie, Xiaomin Zhu, Weidong Bao, Guanlin Wu, Hui Yan, and Xiongtao Zhang. "TRIERS: traffic burst oriented adaptive resource provisioning in cloud." Journal of Physics: Conference Series 1168 (February 2019): 032061. http://dx.doi.org/10.1088/1742-6596/1168/3/032061.

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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." Symposium - International Astronomical Union 115 (1987): 170–71. http://dx.doi.org/10.1017/s0074180900095292.

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We have observed the CS (J = 1-0), C34S (J = 1-0) and H51α emission toward the W49A molecular cloud complex in an area of 3'x 2′ (α x δ) with an angular resolution of 33″. The CS emitting region is 100″ x 80″ or 6.7 pc x 5.4 pc (α x δ) at the half maximum level. Although the CO emission is self-absorbed due to the foreground cold gas, the CS optical depth of the foreground gas is found to be small. Therefore, the two CS peaks at VLSR = 4 km s−1 and 12 km s−1 imply the presence of two dense molecular clouds toward W49A. The brighter 12 km s−1 cloud peaks 35″ southeast of W49A IRS, the infrared and H2O/OH maser sources associated with the compact H II region, while the 4 km s−1 cloud has a peak at W49A IRS. The hydrogen column density through the c34S emitting region is (0.3-1.7) x 1024 cm−2. The estimated core mass of the W49A molecular cloud is (0.5-2.5) x 104 M⊙. This mass is closely packed in a small region of 3.4 pc in diameter, and is about an order of magnitude larger than the virial mass of the system. The massive core will collapse within 10 years unless there is some special supporting mechanism. There was a sudden increase in the star formation rate 104– 105 years ago, suggesting a triggered burst of star formation in the core of W49A. The collision of two velocity clouds might have triggered the formation of this massive core and the burst of star formation.
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Hunter, Christopher, Adam D. Maxwell, Bryan W. Cunitz, Barbrina Dunmire, and Wayne Kreider. "Thresholds for sustained bubble cloud generation in burst wave lithotripsy." Journal of the Acoustical Society of America 140, no. 4 (2016): 3310. http://dx.doi.org/10.1121/1.4970541.

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Youn, Young-Sun, Su-Kyung Yoon, and Shin-Dug Kim. "Cloud computing burst system (CCBS): for exa-scale computing system." Journal of Supercomputing 73, no. 9 (2017): 4020–41. http://dx.doi.org/10.1007/s11227-017-1998-6.

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Smith, Rowan J., Robin G. Treß, Mattia C. Sormani, et al. "The Cloud Factory I: Generating resolved filamentary molecular clouds from galactic-scale forces." Monthly Notices of the Royal Astronomical Society 492, no. 2 (2019): 1594–613. http://dx.doi.org/10.1093/mnras/stz3328.

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ABSTRACT We introduce a new suite of simulations, ‘The Cloud Factory’, which self-consistently forms molecular cloud complexes at high enough resolution to resolve internal substructure (up to 0.25 M⊙ in mass) all while including galactic-scale forces. We use a version of the arepo code modified to include a detailed treatment of the physics of the cold molecular ISM, and an analytical galactic gravitational potential for computational efficiency. The simulations have nested levels of resolution, with the lowest layer tied to tracer particles injected into individual cloud complexes. These tracer refinement regions are embedded in the larger simulation so continue to experience forces from outside the cloud. This allows the simulations to act as a laboratory for testing the effect of galactic environment on star formation. Here we introduce our method and investigate the effect of galactic environment on filamentary clouds. We find that cloud complexes formed after a clustered burst of feedback have shorter lengths and are less likely to fragment compared to quiescent clouds (e.g. the Musca filament) or those dominated by the galactic potential (e.g. Nessie). Spiral arms and differential rotation preferentially align filaments, but strong feedback randomizes them. Long filaments formed within the cloud complexes are necessarily coherent with low internal velocity gradients, which has implications for the formation of filamentary star-clusters. Cloud complexes formed in regions dominated by supernova feedback have fewer star-forming cores, and these are more widely distributed. These differences show galactic-scale forces can have a significant impact on star formation within molecular clouds.
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Dissertations / Theses on the topic "Cloud burst"

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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 availability of densely spaced rain gauge networks and also low temporal resolution of measurements in 15 minutes intervals at best, makes this rain type still very difficult to analyze and even harder to predict. The resolution of cloud radar images at 2x2km and taken every 15 minutes is too coarse and the error reduction algorithms for radar based precipitation (HIPRAD) images to analysera in patterns are not sufficient by them selves to analyze the characteristics of such rainfields and the processes occurring within these fields. The spatial variation of raincells, their development and decay, the distance between them, and the velocity and direction of their movement can however be investigated employing a combination of densely spaced rain gauges and radar images to reach a more realistic representation of short-term precipitation for the use of in hydraulic models. The movement of rain fields has been investigated with two main areas of focus: The influence of direction or directional bias, often with an interest in the most crucial case referred to as the resonance effect, and in context of areal reduction of point rainfall. Most of these studies have been carried out with statistical methods and in laboratory experiments. In this study a hydraulic model was built on the terrain model of a realcity, a 28 km area in the city of Falun, to test the recently gathered information about the temporal variation of five empirical hyetographs with different peak arrival times and peak intensities, which are representative of Swedish climate. The hyetographs were produced and provided by SMHI. The empirical rain types were derived from 20 years of rain gauge observations and confirmed by radar images. For reference purposes, a standard Chicago design storm (CDS) rain was modeled as well. The simulated scenarios were modeled as a MIKE 21 hydraulic model, as a stationary scenario and in four movement directions. It was foundthat the empirical rain types produced lower inundation depth than the CDS, in a range of 20 to 50 % lower. The effect of modeling rainfall in motion produced on average only about 4-20 % lower water depths than the corresponding non-moving scenario. In a few instances, in a single evaluation point, the moving scenarios resulted in a relative water depth of a maximum of just above 1%. It was concluded that the conceptual approach of areal reduction from movement seems to be accurate and could help improve modeling rainfall in general, and specifically for cloud burst scenarios of shorter durations in urban catchments. It was also found that further investigation of the physical processes in rainfields could serve to increase the accuracy in areal reduction of precipitation for more realistic hydraulic models and in turn reduce over design.<br>Pluviala översvämningar är den typen, som är både svårast att reda ut och samtidigt den minst utforskade fenomenen inom urban hydrologi. Medan ansträngningar görs för att förbättra kunskapsläget, ligger den största svårigheten i nederbördens skepnad. Det är konvektiva regn som utgör de flesta av de starkare korttids regntillfällen i urbana områden och är också regntypen som förväntas att öka mest i framtiden. Regncellerna har en tydligare avgränsning, en större intensitet, mindre utsträckning, och en kortare livscykel än frontala regn. I kombination med den låga tillgängligheten av regnmätarnätverk med hög täthet i positioneringen av mätare, samt den låga tidsupplösningen av mätningar i intervaller av 15 minuter gör att konvektiva regn fortfarande är svåra att analysera och ännu svårare att förutse. Upplösningen av molnradar bilder av 2x2 km som tas varje 15:de minut är för grova och algoritmer för felreducering av bilder från radarbaserad nederbördsdata (HIPRAD) för analys av regn mönster är inte tillräckligt noggranna, för sig, för att kunna analysera egenskaperna av sådana regnfält och de processerna som karakteriserar dessa. Den spatiala variationen inom regnceller, deras utveckling och förfall, avståndet mellan dem samt riktningen och hastigheten kan ändå undersökas med hjälp av kombinationen av regnmätarnätverk och radar bilder för att uppnå mer realistiska korttids nederbördsscenarier för användning i hydrauliska model. Studier, som har undersökt regn i rörelse har varit fokuserade på två huvudområden: Betydelsen av riktningen, i vilken regnet rör sig, där den största effekten som denna riktningsbias kan uppnå, har döpts resonans effekt och i samband med ytreducering (areal reduction) av punkt nederbörd. De flesta av dessa studier har genomförts med hjälp av statistiska metoder och laboratorieexperiment. I denna studie skapades en hydraulisk modell baserad på en realistisk terräng av ett existerade urbant område, en yta på 28 km i Falun, för att testa den nyligen utvärderade informationen om temporala intensitets fördelningen som representerar det svenska klimatet. Regndatat producerades och tillhandahölls av SMHI och representerar en mätserie från regnmätare över en period av 20 år. Som referens modellerades även ett Chicago regn (CDS). Med hjälp av en MIKE21 hydraulisk modell, simulerades ett stationärt scenario och fyra rörelseriktningar för varje empirisk hyetograf. Resultaten visade att de empiriska regntyperna skapade översvämningar med 20-50% lägre vattendjup än CDS regnet. Att modellera rörelsen resulterade i 4-20% lägre vattennivåer jämfört med respektive stationär scenario. I några enstaka tillfällen, i en av evalueringspunkterna, skapade de rörliga scenarierna större resultat, med lite över 1% i det största fallet. Det drogs slutsatsen att konceptet av areal reduction genom molnrörelse verkar vara korrekt och skulle kunna hjälpa att förbättra sättet att modellera regn generellt, men också specifikt för skyfalls scenarier med korta varaktigheter över urbana avrinningsområden. Man kom ytterligare till slutsatsen att framtida studier i samband med de fysiska processerna i regnceller skulle kunna användas för att höja noggrannheten av ytreducering av nederbörd för mer realistiska hydrauliska modeller, som i sin tur kunde minska överdesign.
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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 e validada uma metodologia que permite monitorar uma carga de trabalho e determinar a ocorrência de rajadas tanto nas taxas de chegadas de requisições quanto nas demandas de serviços. A metodologia utilizada na condução deste trabalho consta de diferentes modelos de cargas de trabalho com rajadas de diferentes variabilidades e intensidades, desenvolvidos e integrados à arquitetura CloudSim-BEQoS proposta nesta tese. Utilizando-se essa arquitetura é possível executar um conjunto de experimentos que possibilitam a obtenção dos resultados que caracterizam o desempenho dos serviços quando são criadas condições de rajadas nas cargas de trabalho submetidas à nuvem.<br>This thesis presents the performance characterization of the services executed in a cloud environment, when bursts are considered from different sources, intensity and variability in the workload. The results show that the presence of bursts in the arrival process of requests and/or in service demands, causes a significant degradation in the performance of services and therefore should belong to the models of workloads and in the activities considered for performance evaluation in cloud computing. Considering the great influence of bursts, a methodology to monitor a workload and predict the occurrence of bursts in both the rates of request arrivals and the service demands is proposed and validated. The methodology used in the conduction of this work consists in different types of workloads with bursts of different variability and intensity, developed and integrated into the CloudSim-BEQoS architecture proposed in this thesis. By using this architecture it is possible to execute a set of experiments that enable the achievement of the results that characterize the performance of services when bursts conditions are created in the workload submitted to the cloud.
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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. In both SWL and BWL, the tensile component of the pressure can nucleate cavitation bubbles in the human body. For SWL, cavitation is a significant mechanism in stone communition, but also causes tissue injury. By contrast, little is yet known about cavitation in BWL.</p> <p>To investigate cloud cavitation in BWL, two numerical tools are developed: a model of ultrasound generation from a medical transducer, and a method of simulating clouds of cavitation bubbles in the focal region of the ultrasound. The numerical tools enable simulation of the cavitation growth and collapse of individual bubbles, their mutual interactions, and the resulting bubble-scattered acoustics. The numerics are implemented in a massively parallel framework to enable large-scale, three-dimensional simulations. Next, the numerical tools are applied to bubble clouds associated with BWL. Additionally, laboratory experiments are conducted <i>in vitro</i> in order to calibrate and validate the simulations. A major feature of the resulting bubble clouds is that the cloud size is similar to the ultrasound wavelength. This results in an anisotropic structure where the bubbles closest to the wave source grow to larger size and oscillate more rapidly. A new scaling parameter is introduced to characterize the nonlinear bubble cloud dynamics that generalizes the cloud interaction parameter of d'Agostino and Brennen (1989) defined for weak (linearized), bubble cloud dynamics excited uniformly by long-wavelength pressure waves. The mechanisms leading to the observed bubble dynamics are identified. The results further show that bubble clouds can scatter a large portion of incident ultrasound and consequently shield distal regions, including kidney stones, from irradiation. This energy shielding is quantified, and the simulations show that even a thin layer of bubbles can scatter up to 90% of the incident wave energy. A strong correlation is identified between the magnitude of energy shielding and the amplitude of the bubble-scattered acoustics. The correlation may be of use to control cavitation in the human body in real time by ultrasound monitoring for better outcomes of BWL.</p>
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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 forecasts of Salesforce, in order to price the company and establish a recommendation. As such, we found that Salesforce is a market leader in terms of revenues in its respective markets; it is investing heavily in cross-selling and upgrading current features of services whilst also expanding into other areas; the company is operating under a poor cash conversion cycle with plenty of room for negotiation opportunities; and the industry is becoming very vigorous in terms of market competition. Considering our findings, we predict that Salesforce would withstand any adverse market conditions, due to its competitive advantage as a cloud only operator and outperform market expectations given its vigorous growth strategy. We believe Salesforce is a good buy, as it is currently under priced relative to its growth opportunities. Salesforce has a track-record of outperforming analysts’ revenue estimates, and operational efficiencies coupled with favourable market conditions will help bolster this appreciation to a share price of $178.5.
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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 share loading and decrease server response time. In addition to this, load balancing is a very important technology to enhance the performance of cluster architecture. In this thesis, we proposed a load balancing algorithm based on HTTP redirection architecture. Using different algorithms in normal situation and burst situation. We use weighted round robin algorithm in normal situation and use round robin in burst situation. Experiment result shows our proposed scheme can really optimize the back-end server loading and response time.
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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 occupancy for a cloud computing center. To emulate the realistic traffic, a 2-state MMPP call arrival process is assumed. The system of interest is modeled as a 3-dimensional Markov chain. An iterative algorithm is proposed to find the steady state probability distribution and the performance measures. The performance measures of interest are the mean number of customers in the system, blocking probability, probability of immediate service, the system delay, the power saving, and the total cost. We study the effect of different system parameters, i.e., MMPP transition rate, call arrival rate, upper and lower thresholds, number of active servers, and relative importance of power saving to blocking, on the performance measures. After extensive numerical experiments, we make the following observations. First, the more bursty the arrival process is, the larger the total cost. Second, the upper and lower thresholds do not affect the mean number of customers in system, the blocking probability, the probability of immediate service, and the system delay. Third, the larger the average number of active servers is, the larger the total cost. The greater the relative importance of power saving to blocking is, the larger the total cost. Last but not least, we verify the accuracy of the analytical results by the simulation program written in C. In most cases studied, the analytical results are close to the simulation results.
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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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Mann, Christopher. Midnight Cloud Burst: A Collection of Modern Short Stories. Authors Choice Press, 2001.

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

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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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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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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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Book chapters on the topic "Cloud burst"

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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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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 OpenStack, Google Cloud Platform and Amazon Web Services. In particular, we use Kubeflow on top of Kubernetes for more sophisticated job scheduling, workflow management, and first class support for machine learning. We choose Kubeflow/Kubernetes to avoid the overhead of provisioning of virtual machines, to achieve rapid scaling with containers, and to be truly cloud-agnostic in all cloud environments. Kubeflow on Kubernetes also creates some new challenges in deployment, data access, performance monitoring, etc. We will discuss the details of these challenges and provide our solutions. We will demonstrate how our solutions work across all three very different clouds for both classical pipelines and new ones for machine learning.
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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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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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"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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"Pressure Vessel Bursts." 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.ch7.

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Jakobczak, Dariusz Jacek, and Ahan Chatterjee. "The Rise of “Big Data” in the Field of Cloud Analytics." In Advances in Data Mining and Database Management. IGI Global, 2021. http://dx.doi.org/10.4018/978-1-7998-4706-9.ch008.

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Abstract:
The huge amount of data burst which occurred with the arrival of economic access to the internet led to the rise of market of cloud computing which stores this data. And obtaining results from these data led to the growth of the “big data” industry which analyses this humongous amount of data and retrieve conclusion using various algorithms. Hadoop as a big data platform certainly uses map-reduce framework to give an analysis report of big data. The term “big data” can be defined as modern technique to store, capture, and manage data which are in the scale of petabytes or larger sized dataset with high-velocity and various structures. To address this massive growth of data or big data requires a huge computing space to ensure fruitful results through processing of data, and cloud computing is that technology that can perform huge-scale and computation which are very complex in nature. Cloud analytics does enable organizations to perform better business intelligence, data warehouse operation, and online analytical processing (OLAP).
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"Appendix A. View Factors for Selected Configurations." 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.app1.

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"Appendix B. Tabulation of Some Gas Properties in Metric Units." 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.app2.

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"Appendix C. Conversion Factors to SI for Selected Quantities." 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.app3.

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Conference papers on the topic "Cloud burst"

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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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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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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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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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Sung, Hanul, Jiwoo Bang, Chungyong Kim, et al. "BBOS: Efficient HPC Storage Management via Burst Buffer Over-Subscription." In 2020 20th IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing (CCGRID). IEEE, 2020. http://dx.doi.org/10.1109/ccgrid49817.2020.00-79.

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Nutzel, Jurgen, and Frank Zimmermann. "Improved Burst Based Real-Time Event Detection Using Location Dependent Corpora." In 2015 3rd International Conference on Future Internet of Things and Cloud (FiCloud). IEEE, 2015. http://dx.doi.org/10.1109/ficloud.2015.131.

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Nutzel, Jurgen, and Frank Zimmermann. "Improved Burst Based Real-Time Event Detection Using Adaptive Reference Corpora." In 2015 3rd International Conference on Future Internet of Things and Cloud (FiCloud). IEEE, 2015. http://dx.doi.org/10.1109/ficloud.2015.42.

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Khazaei, H., J. Misic, and V. B. Misic. "Performance Analysis of Cloud Centers under Burst Arrivals and Total Rejection Policy." In 2011 IEEE Global Communications Conference (GLOBECOM 2011). IEEE, 2011. http://dx.doi.org/10.1109/glocom.2011.6133765.

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Yang, Lei, Ying Feng, and Kenli Li. "Optimization of Virtual Resources Provisioning for Cloud Applications to Cope with Traffic Burst." In 2017 IEEE International Symposium on Parallel and Distributed Processing with Applications and 2017 IEEE International Conference on Ubiquitous Computing and Communications (ISPA/IUCC). IEEE, 2017. http://dx.doi.org/10.1109/ispa/iucc.2017.00021.

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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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