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Journal articles on the topic 'CLOUD FRAMEWORK'

Author: Grafiati

Published: 11 September 2023

Last updated: 25 July 2025

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1

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

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Context. Understanding of clouds is instrumental in interpreting current and future spectroscopic observations of exoplanets. Modeling clouds consistently is complex, since it involves many facets of chemistry, nucleation theory, condensation physics, coagulation, and particle transport. Aims. We aim to develop a simple physical model for cloud formation and transport, efficient and versatile enough that it can be used, in modular fashion for parameter optimization searches of exoplanet atmosphere spectra. In this work we present the cloud model and investigate the dependence of key parameters

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Zhao, X., Z. Gao, W. Sun, and F. Wen. "A COARSE-TO-FINE BAND REGISTRATION FRAMEWORK FOR MULTI/HYPERSPECTRAL REMOTE SENSING IMAGES CONSIDERING CLOUD INFLUENCE." ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences V-3-2020 (August 3, 2020): 201–8. http://dx.doi.org/10.5194/isprs-annals-v-3-2020-201-2020.

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Abstract. Band registration is one of the most critical steps in the production of multi/hyperspectral images and determines the accuracy of applications directly. Because of the characteristics of imaging devices in some multi/hyperspectral satellites, there may be a time difference between bands during push-broom imaging, which leads to displacements of moving clouds with respect to the ground. And a large number of feature points may gather around cloud contours due to the high contrast and rich texture, resulting in building a transformation more suitable for moving clouds and making groun

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Vijaya, Aparna, and Neelanarayanan V. "A Model Driven Framework for Portable Cloud Services." International Journal of Electrical and Computer Engineering (IJECE) 6, no. 2 (2016): 708. http://dx.doi.org/10.11591/ijece.v6i2.8270.

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<p class="Abstract">Cloud Computing is an evolving technology as it offers significant benefits like pay only for what you use, scale the resources according to the needs and less in-house staff and resources. These benefits have resulted in tremendous increase in the number of applications and services hosted in the cloud which inturn has resulted in increase in the number of cloud providers in the market. Cloud service providers have a lot of heterogeneity in the resources they use. They have their own servers, different cloud infrastructures, API’s and methods to access the cloud reso

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Vijaya, Aparna, and Neelanarayanan V. "A Model Driven Framework for Portable Cloud Services." International Journal of Electrical and Computer Engineering (IJECE) 6, no. 2 (2016): 708. http://dx.doi.org/10.11591/ijece.v6i2.pp708-716.

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<p class="Abstract">Cloud Computing is an evolving technology as it offers significant benefits like pay only for what you use, scale the resources according to the needs and less in-house staff and resources. These benefits have resulted in tremendous increase in the number of applications and services hosted in the cloud which inturn has resulted in increase in the number of cloud providers in the market. Cloud service providers have a lot of heterogeneity in the resources they use. They have their own servers, different cloud infrastructures, API’s and methods to access the cloud reso

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Aazam, Mohammad, and Eui-Nam Huh. "Framework of Resource Management for Intercloud Computing." Mathematical Problems in Engineering 2014 (2014): 1–9. http://dx.doi.org/10.1155/2014/108286.

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There has been a very rapid increase in digital media content, due to which media cloud is gaining importance. Cloud computing paradigm provides management of resources and helps create extended portfolio of services. Through cloud computing, not only are services managed more efficiently, but also service discovery is made possible. To handle rapid increase in the content, media cloud plays a very vital role. But it is not possible for standalone clouds to handle everything with the increasing user demands. For scalability and better service provisioning, at times, clouds have to communicate

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Chang, Victor, Yen-Hung Kuo, and Muthu Ramachandran. "Cloud computing adoption framework: A security framework for business clouds." Future Generation Computer Systems 57 (April 2016): 24–41. http://dx.doi.org/10.1016/j.future.2015.09.031.

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

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

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

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Abstract Visible and near-infrared reflected radiances have been used to estimate the cloud optical depth and effective radius of cloud-filled global area coverage (GAC) pixels from the Advanced Very High Resolution Radiometer (AVHRR) for two cases in the North Atlantic Ocean. One is representative of clouds having low concentrations of cloud condensation nuclei (CCN), while the other is an example of maritime clouds forming in continental air, in this case, intruding from Europe around a cutoff low pressure system. It is shown that an estimate of the cloud drop concentration can be obtained f

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Satwinder, Singh Rupra* Dr. Amos Omamo. "A FRAMEWORK FOR IMPROVING SECURITY IN CLOUD COMPUTING FOR SMES (FISCCS) USING SECURITY INDEX." Global Journal of Engineering Science and Research Management 6, no. 5 (2019): 1–11. https://doi.org/10.5281/zenodo.2703162.

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

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Sharma, Puneet, Peter Dalin, and Ingrid Mann. "Towards a Framework for Noctilucent Cloud Analysis." Remote Sensing 11, no. 23 (2019): 2743. http://dx.doi.org/10.3390/rs11232743.

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In this paper, we present a framework to study the spatial structure of noctilucent clouds formed by ice particles in the upper atmosphere at mid and high latitudes during summer. We studied noctilucent cloud activity in optical images taken from three different locations and under different atmospheric conditions. In order to identify and distinguish noctilucent cloud activity from other objects in the scene, we employed linear discriminant analysis (LDA) with feature vectors ranging from simple metrics to higher-order local autocorrelation (HLAC), and histogram of oriented gradients (HOG). F

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Sun, Rui Qi, Jie Yang, Zhan Gao, and Zhi Qiang He. "A Framework of Automatic Deployment for Cloud Management Platforms." Applied Mechanics and Materials 631-632 (September 2014): 218–21. http://dx.doi.org/10.4028/www.scientific.net/amm.631-632.218.

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With the widespread adoption of Cloud infrastructure, there are many famous open source Cloud management platforms, but it is not a trivial task to build Infrastructure as a Service Clouds using them. Moreover, during the developing and testing phase, Cloud platforms need to be built frequently. Existing automatic deployment tools require users to have programming skills using high-level programming language. However, many Cloud administrators are not related programming experience. Therefore, they must repeatedly manually deploy the Cloud platforms step by step. In this paper, we propose a vi

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Kuang, Ye, Jiangchuan Tao, Hanbing Xu, et al. "Theoretical framework for measuring cloud effective supersaturation fluctuations with an advanced optical system." Atmospheric Chemistry and Physics 25, no. 2 (2025): 1163–74. https://doi.org/10.5194/acp-25-1163-2025.

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Abstract. Supersaturation is crucial in cloud physics, determining aerosol activation and influencing cloud droplet size distributions, yet its measurement remains challenging and poorly constrained. This study proposes a theoretical framework to simultaneously observe critical activation diameter and hygroscopicity of activated aerosols through direct measurements of scattering and water-induced scattering enhancement of interstitial and activated aerosols, enabling effective supersaturation measurements. Advanced optical systems based on this framework allow minute- to second-level effective

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Dr.S.M., Jagateesan1 V.M.Pavithra2. "A SURVEY ON BIGDATA SCHEDULING ON CLOUD FRAMEWORK." INTERNATIONAL JOURNAL OF ENGINEERING SCIENCES & RESEARCH TECHNOLOGY 6, no. 7 (2017): 922–27. https://doi.org/10.5281/zenodo.834614.

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Computational science workflows have been successfully run on traditional High Performance Computing (HPC) systems like clusters and Grids for many years. Now a day, users are interested to execute their workflow applications in the Cloud to exploit the economic and technical benefits of this new rising technology. The deployment and management of workflows over the current existing heterogeneous and not yet interoperable Cloud providers, is still a challenging task for the workflow developers. The Pointer Gossip Content Addressable Network Montage Framework allows an automatic selection of th

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Mahdavi-Hezavehi, S., Y. Alimardani, and R. Rahmani. "An Efficient Framework for a Third Party Auditor in Cloud Computing Environments." Computer Journal 63, no. 9 (2019): 1285–97. http://dx.doi.org/10.1093/comjnl/bxz045.

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Abstract Cloud Service Providers supply services to clients in terms of their demands. They need to be constantly under monitoring for their services with respect to consensus agreements between clients and service providers. A Third Party Auditor or TPA as a trusted organization appears to be necessary to monitor executing agreements of cloud services. Using a third party as an extra component creates cost overheads for clients in a cloud environment. Thus, introducing a cost efficient framework for a cloud environment which includes a third party is an eminent achievement to make a TPA feasi

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Szczap, F., Y. Gour, T. Fauchez, et al. "A flexible three-dimensional stratocumulus, cumulus and cirrus cloud generator (3DCLOUD) based on drastically simplified atmospheric equations and Fourier transform framework." Geoscientific Model Development Discussions 7, no. 1 (2014): 295–337. http://dx.doi.org/10.5194/gmdd-7-295-2014.

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Abstract. The 3DCLOUD algorithm for generating stochastic three-dimensional (3-D) cloud fields is described in this paper. The generated outputs are 3-D optical depth (τ) for stratocumulus and cumulus fields and 3-D ice water content (IWC) for cirrus clouds. This model is designed to generate cloud fields that share some statistical properties observed in real clouds such as the inhomogeneity parameter ρ (standard deviation normalized by the mean of the studied quantity), the Fourier spectral slope β close to −5/3 between the smallest scale of the simulation to the outer Lout (where the spectr

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Achar, Sandesh. "Network Security Framework, Techniques, and Design for Hybrid Cloud." Engineering International 9, no. 2 (2021): 141–52. http://dx.doi.org/10.18034/ei.v9i2.642.

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Network security is a framework that deals with issuing procedures and policies that will be used to establish and maintain security protocols in a particular organization. The functions related to the network security framework are oriented toward insulating the specific organization from external cyber threats and adversaries. On the other hand, a hybrid cloud is a type of cloud whose function is to allow the running and operating of different applications in various and different environments. The primary technique associated with developing hybrid clouds is the conjunctions between private

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K., Arul Jothy, Sivakumar K., and Delsey M.J. "Distributed System Framework for Mobile Cloud Computing." Bonfring International Journal of Research in Communication Engineering 8, no. 1 (2018): 05–09. http://dx.doi.org/10.9756/bijrce.8357.

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Szczap, F., Y. Gour, T. Fauchez, et al. "A flexible three-dimensional stratocumulus, cumulus and cirrus cloud generator (3DCLOUD) based on drastically simplified atmospheric equations and the Fourier transform framework." Geoscientific Model Development 7, no. 4 (2014): 1779–801. http://dx.doi.org/10.5194/gmd-7-1779-2014.

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Abstract. The 3DCLOUD algorithm for generating stochastic three-dimensional (3-D) cloud fields is described in this paper. The generated outputs are 3-D optical depth (τ) for stratocumulus and cumulus fields and 3-D ice water content (IWC) for cirrus clouds. This model is designed to generate cloud fields that share some statistical properties observed in real clouds such as the inhomogeneity parameter ρ (standard deviation normalized by the mean of the studied quantity), the Fourier spectral slope β close to −5/3 between the smallest scale of the simulation to the outer Lout (where the spectr

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Bathini, Ravinder, and Naresh Vurukonda. "A survey to build framework for optimize and secure migration and transmission of cloud data." Bulletin of Electrical Engineering and Informatics 13, no. 2 (2024): 812–20. http://dx.doi.org/10.11591/eei.v13i2.5181.

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In the recent era of computational technologies, the internet is needed daily. The data generated is enormous and primarily stored on dedicated servers or clouds. Data migration and transfer are significant tasks for maintaining consistency and updating data. The data is the most critical component in any cloud service. There are various methods to protect data, like secure transfer, encryption, and authentication. These techniques are used as per need and transmission of the data. As data grows on a server or cloud, it must be migrated securely. Here, the exhaustive survey is provided for bui

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Liu, K., and J. Boehm. "A New Framework For Interactive Segmentation of Point Clouds." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XL-5 (June 6, 2014): 357–62. http://dx.doi.org/10.5194/isprsarchives-xl-5-357-2014.

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Point cloud segmentation is a fundamental problem in point processing. Segmenting a point cloud fully automatically is very challenging due to the property of point cloud as well as different requirements of distinct users. In this paper, an interactive segmentation method for point clouds is proposed. Only two strokes need to be drawn intuitively to indicate the target object and the background respectively. The draw strokes are sparse and don't necessarily cover the whole object. Given the strokes, a weighted graph is built and the segmentation is formulated as a minimization problem. The pr

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Rao, P. Ravinder, and V. Sucharita. "A secure cloud service deployment framework for DevOps." Indonesian Journal of Electrical Engineering and Computer Science 21, no. 2 (2021): 874–85. https://doi.org/10.11591/ijeecs.v21.i2.pp874-885.

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The advancements in cloud computing and leveraging the benefits from cloud computing to the service providers have increased the deployment of traditional applications to the cloud. The applications once deployed on the cloud, due to various reasons, need migration from development infrastructure to operational infrastructure, one operational instance to other operational instances due to load balancing and the cycle continues due to the use of DevOps as development strategies for cloud computing applications. Advocates of hybrid and public clouds observe cloud computing makes it possible for

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Zhao, Yan, Jiahui Deng, Qinghong Gao, and Xiao Zhang. "SGRTmreg: A Learning-Based Optimization Framework for Multiple Pairwise Registrations." Sensors 24, no. 13 (2024): 4144. http://dx.doi.org/10.3390/s24134144.

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Point cloud registration is a fundamental task in computer vision and graphics, which is widely used in 3D reconstruction, object tracking, and atlas reconstruction. Learning-based optimization and deep learning methods have been widely developed in pairwise registration due to their own distinctive advantages. Deep learning methods offer greater flexibility and enable registering unseen point clouds that are not trained. Learning-based optimization methods exhibit enhanced robustness and stability when handling registration under various perturbations, such as noise, outliers, and occlusions.

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Yao, Yulin. "Cloud Computing." International Journal of Organizational and Collective Intelligence 5, no. 3 (2015): 32–43. http://dx.doi.org/10.4018/ijoci.2015070103.

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This paper provides an overview of Cloud Computing between Year 2009 and Year 2015. It presents the past and current literature and practices for Cloud Computing. Literatrue review is undertaken to identify key areas relevant to current Cloud Computing development. Review on frameworks for Cloud computing has also been presented to illustrate the good use of structured and valid framework approaches. Topics of discussion demonstrate that Cloud computing can provide added values not only to businesses but also Higher Education. Future directions and conclusion have been presented and acknowledg

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Wang, Keyan, Jia Jia, Peicheng Zhou, et al. "Efficient On-Board Compression for Arbitrary-Shaped Cloud-Covered Remote Sensing Images via Adaptive Filling and Controllable Quantization." Remote Sensing 16, no. 18 (2024): 3431. http://dx.doi.org/10.3390/rs16183431.

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Due to the fact that invalid cloud-covered regions in remote sensing images consume a considerable quantity of coding bit rates under the limited satellite-to-ground transmission rate, existing image compression methods suffer from low compression efficiency and poor reconstruction quality, especially in cloud-free regions which are generally regarded as regions of interest (ROIs). Therefore, we propose an efficient on-board compression method for remote sensing images with arbitrary-shaped clouds by leveraging the characteristics of cloudy images. Firstly, we introduce two novel spatial prepr

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Ravinder, Rao, and V. Sucharita. "A secure cloud service deployment framework for DevOps." Indonesian Journal of Electrical Engineering and Computer Science 21, no. 2 (2021): 874. http://dx.doi.org/10.11591/ijeecs.v21.i2.pp874-885.

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<span>The advancements in cloud computing and leveraging the benefits from cloud computing to the service providers have increased the deployment of traditional applications to the cloud. The applications once deployed on the cloud, due to various reasons, need migration from development infrastructure to operational infrastructure, one operational instance to other operational instances due to load balancing and the cycle continues due to the use of DevOps as development strategies for cloud computing applications. Advocates of hybrid and public clouds observe cloud computing makes it p

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Schmidt, Clinton T., and Timothy J. Garrett. "A Simple Framework for the Dynamic Response of Cirrus Clouds to Local Diabatic Radiative Heating." Journal of the Atmospheric Sciences 70, no. 5 (2013): 1409–22. http://dx.doi.org/10.1175/jas-d-12-056.1.

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Abstract This paper presents a simple analytical framework for the dynamic response of cirrus to a local radiative flux convergence, expressible in terms of three independent modes of cloud evolution. Horizontally narrow and tenuous clouds within a stable environment adjust to radiative heating by ascending gradually across isentropes while spreading sufficiently fast that isentropic surfaces stay nearly flat. Alternatively, optically dense clouds experience very concentrated heating, and if they are also very broad, they develop a convecting mixed layer. Along-isentropic spreading still occur

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Researcher. "EVALUATING CLOUD MIGRATION SECURITY RISKS: DEVELOPMENT AND VALIDATION OF AN ENTERPRISE-LEVEL ASSESSMENT FRAMEWORK." International Journal of Research In Computer Applications and Information Technology (IJRCAIT) 7, no. 2 (2024): 836–53. https://doi.org/10.5281/zenodo.14045253.

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This article presents a comprehensive risk assessment framework for organizations transitioning from traditional data centers to cloud environments, addressing the critical security challenges inherent in cloud migration. Through a mixed-method approach combining systematic literature review, expert interviews (n=45), and multiple case studies across diverse industries, we develop and validate a structured framework for evaluating and mitigating security risks in cloud migration initiatives. The framework encompasses four key dimensions: data security, technical infrastructure, operational con

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Yuan, T. "Cloud macroscopic organization: order emerging from randomness." Atmospheric Chemistry and Physics 11, no. 15 (2011): 7483–90. http://dx.doi.org/10.5194/acp-11-7483-2011.

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Abstract. Clouds play a central role in many aspects of the climate system and their forms and shapes are remarkably diverse. Appropriate representation of clouds in climate models is a major challenge because cloud processes span at least eight orders of magnitude in spatial scales. Here we show that there exists order in cloud size distribution of low-level clouds, and that it follows a power-law distribution with exponent γ close to 2. γ is insensitive to yearly variations in environmental conditions, but has regional variations and land-ocean contrasts. More importantly, we demonstrate thi

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Shuang, Liang. "The Design and Realization of Cloud Computing Framework Model Based on SOA." Advanced Materials Research 171-172 (December 2010): 696–701. http://dx.doi.org/10.4028/www.scientific.net/amr.171-172.696.

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Cloud computing is a system which provide hardware services, infrastructure services, platform services, software services, storage services to a variety of Internet applications, and SOA is a component model, it will rely on well-defined interfaces between services and linked contract applications. In this paper, combined cloud computing and SOA together closely to form a cloud computing framework model based on SOA, So that the clouds provide in a simple and flexible way to offer services. And it gives a realization of the model. Experiments show that the model is simple, practical and fully

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Abdulrahman, H. Altalhi1 Zailani Mohamed Sidek2 Norjihan Abdul Ghani3 Fazidah Othman4 and Maged Abdelkhaleq Al-Sheshtawil5. "ENHANCING THE SECURITY FRAMEWORK SECURECLOUD WITH THE SWIFT IDENTITY MANAGEMENT FRAMEWORK." International Journal on Cloud Computing: Services and Architecture(IJCCSA) 2, February (2018): 01–07. https://doi.org/10.5281/zenodo.1444289.

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SecureCloud is a comprehensive security framework for cloud computing environments consisting of different modules that handle the security and trust issues of key components. One of the modules is responsible for authentication and identity management (IDM). In SecureCloud, the author suggest, to implement the security solution for the Authentication and IDM module, it is important to ensure IDM services in the cloud can be integrated with the existing IDM framework. Existing techniques for use of pseudonyms and accommodating multiple identities to protect users’ privacy can help build

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Pasham, Sai Dikshit. "Hybrid Cloud Computing Models: A Framework for High-Performance Applications." Research and Analysis Journal 5, no. 2 (2022): 01–24. https://doi.org/10.18535/raj.v5i2.274.

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One of the most important models that have become significant for organizations with their IT service requirements is the hybrid cloud computing model. Hybrid models are defined as cloud computing combining smooth-running on-premises resources with public and private clouds, which can provide a solid flexible foundation to host various high-performance applications, including artificial intelligence, big data analysis, and essential business functions. This paper aims to identify the key decision criteria, advantages, and issues of using hybrid cloud computing with a focus on its places ineffi

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Khan, Noreen, Shahab Haider, Thar Baker, Ghulam Abbas, and Ziaul Haq Abbas. "MACRS: An Enhanced Directory-Based Resource Sharing Framework for Mobile Ad Hoc Networks." Electronics 11, no. 5 (2022): 725. http://dx.doi.org/10.3390/electronics11050725.

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Recent technological developments have caused a rapid increase in the use of portable devices around the globe. However, these devices comprise limited processing resources that restrict their performance. To overcome this issue, the existing literature provides several frameworks that enable resource sharing through ad hoc clouds. However, these frameworks lack the ability to cater to the omni-directional movements of devices, which adversely affects the cloud stability, thereby, restricting the resource sharing process. To this end, this paper proposes a novel framework, namely Mobility-awar

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Jones, William K., Matthew W. Christensen, and Philip Stier. "A semi-Lagrangian method for detecting and tracking deep convective clouds in geostationary satellite observations." Atmospheric Measurement Techniques 16, no. 4 (2023): 1043–59. http://dx.doi.org/10.5194/amt-16-1043-2023.

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Abstract. Automated methods for the detection and tracking of deep convective clouds in geostationary satellite imagery have a vital role in both the forecasting of severe storms and research into their behaviour. Studying the interactions and feedbacks between multiple deep convective clouds (DCC), however, poses a challenge for existing algorithms due to the necessary compromise between false detection and missed detection errors. We utilise an optical flow method to determine the motion of deep convective clouds in GOES-16 ABI imagery in order to construct a semi-Lagrangian framework for th

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Rosenfeld, D., E. Williams, M. O. Andreae, E. Freud, U. Pöschl, and N. O. Rennó. "The scientific basis for a satellite mission to retrieve CCN concentrations and their impacts on convective clouds." Atmospheric Measurement Techniques 5, no. 8 (2012): 2039–55. http://dx.doi.org/10.5194/amt-5-2039-2012.

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Abstract. The cloud-mediated aerosol radiative forcing is widely recognized as the main source of uncertainty in our knowledge of the anthropogenic forcing on climate. The current challenges for improving our understanding are (1) global measurements of cloud condensation nuclei (CCN) in the cloudy boundary layer from space, and (2) disentangling the effects of aerosols from the thermodynamic and meteorological effects on the clouds. Here, we present a new conceptual framework to help us overcome these two challenges, using relatively simple passive satellite measurements in the visible and in

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Kashif, Munir1 and Prof Dr. Sellapan Palaniappan2. "FRAMEWORK FOR SECURE CLOUD COMPUTING." International Journal on Cloud Computing: Services and Architecture (IJCCSA) 3, April (2018): 01–15. https://doi.org/10.5281/zenodo.1434571.

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Cloud computing has changed the entire process that distributed computing used to present e.g. Grid computing, server client computing. Cloud computing describes recent developments in many existing IT technologies and separates application and information resources from the underlying infrastructure. Cloud computing security is an important aspect of quality of service from cloud service providers. Security concerns arise as soon as one begins to run applications beyond the designated firewall and move closer towards the public domain. In violation of security in any component in the cloud ca

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Yuan, T. "Cloud macroscopic organization: order emerging from randomness." Atmospheric Chemistry and Physics Discussions 11, no. 1 (2011): 1105–19. http://dx.doi.org/10.5194/acpd-11-1105-2011.

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Abstract. Clouds play a central role in many aspects of the climate system and their forms and shapes are remarkably diverse. Appropriate representation of clouds in climate models is a major challenge because cloud processes span at least eight orders of magnitude in spatial scales. Here we show that there exists order in cloud size distribution of low-level clouds and it follows a power-law distribution with exponent γ close to 2. γ is insensitive to yearly variations in environmental conditions, but has regional variations and land-ocean contrasts. More importantly, we demonstrate this self

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Koushik S. and Annapurna P. Patil. "An Approach to Ensure Secure Inter-Cloud Data and Application Migration Using End-to-End Encryption and Content Verification." International Journal of Ambient Computing and Intelligence 13, no. 1 (2022): 1–21. http://dx.doi.org/10.4018/ijaci.293148.

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Cloud Computing is one of the most popular platforms in recent times and has many services to offer. The resources are deployed on the Cloud and are made available to cloud users over high-speed internet connectivity. Many enterprises think of migrating the data or application hosted from one Cloud to another based on the requirements. Migration from one Cloud to another Cloud requires security as it is vital for any data. This article presents a novel secure framework called ‘InterCloudFramework,’ considering well-established criteria to migrate various services across clouds with minimal sup

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Saadatdoost, Robab, Alex Tze Hiang Sim, Hosein Jafarkarimi, Jee Mei Hee, and Leila Saadatdoost. "Cloud Computing for Teaching Practice." International Journal of Web-Based Learning and Teaching Technologies 9, no. 4 (2014): 50–68. http://dx.doi.org/10.4018/ijwltt.2014100104.

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Recently researchers have shown an increased interest in cloud computing technology. It is becoming increasingly difficult to ignore cloud computing technology in education context. However rapid changes in information technology are having a serious effect on teaching framework designs. So far, however, there has been little discussion about cloud computing benefits in domains of teaching frameworks which propels us to study and redesign teaching frameworks considering cloud computing. The purpose of this paper is to review recent research into cloud computing and features which can be improv

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Ma, Kun, Runyuan Sun, and Ajith Abraham. "Toward a Module-centralized and Aspect-oriented Monitoring Framework in Clouds." JUCS - Journal of Universal Computer Science 19, no. (15) (2013): 2241–65. https://doi.org/10.3217/jucs-019-15-2241.

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Currently, monitoring plays an important role in managing the Cloud computing environment. However, the Cloud computing owners and tenants often lack the management and monitoring tools to ensure the performance, robustness, dependability, and security. To address this limitation, this paper describes the development of a lightweight module-centralized and aspect-oriented monitoring framework. This frame-work performs end-to-end measurements at virtual and physical machine instances, software and Web service in the Cloud. It monitors the quality of service (QoS) parameters of the IaaS and SaaS

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Abulaish, Muhammad, and Tarique Anwar. "A Keyphrase-Based Tag Cloud Generation Framework to Conceptualize Textual Data." International Journal of Adaptive, Resilient and Autonomic Systems 4, no. 2 (2013): 72–93. http://dx.doi.org/10.4018/jaras.2013040104.

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Tag clouds have become an effective tool to quickly perceive the most prominent terms embedded within textual data. Tag clouds help grasp the main theme of a corpus without exploring the pile of documents. However, the effectiveness of tag clouds to conceptualize text corpora is directly proportional to the quality of the tags. In this paper, the authors propose a keyphrase-based tag cloud generation framework. In contrast to existing tag cloud generation systems that use single words as tags and their frequency counts to determine the font size of the tags, the proposed framework identifies f

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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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Jarecka, Dorota, Wojciech W. Grabowski, and Hanna Pawlowska. "Modeling of Subgrid-Scale Mixing in Large-Eddy Simulation of Shallow Convection." Journal of the Atmospheric Sciences 66, no. 7 (2009): 2125–33. http://dx.doi.org/10.1175/2009jas2929.1.

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Abstract This paper discusses an extension of the approach proposed previously to represent the delay of cloud water evaporation and buoyancy reversal due to the cloud–environment mixing in bulk microphysics large-eddy simulation of clouds. In the original approach, an additional equation for the mean spatial scale of cloudy filaments was introduced to represent the progress toward microscale homogenization of a volume undergoing turbulent cloud–environment mixing, with the evaporation of cloud water allowed only when the filament scale approached the Kolmogorov microscale. Here, it is shown t

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Gautam, Pratiksha, Mohd Dilshad Ansari, and Surender Kumar Sharma. "Enhanced Security for Electronic Health Care Information Using Obfuscation and RSA Algorithm in Cloud Computing." International Journal of Information Security and Privacy 13, no. 1 (2019): 59–69. http://dx.doi.org/10.4018/ijisp.2019010105.

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Recently, the electronic heath record (EHR) has become the chosen method to maintain a patient's health information. The advancement of cloud computing enables users to access their data with flexibility, providing large storage capability at low costs, which encourages EHR maintainers to consider shifting from their own storage to the cloud. In cloud computing, it is no doubt that securing EHRs poses a gigantic challenge. Various security properties like access control, data privacy, and scalable access between different clouds needs to be satisfied. This article presents a secure and efficie

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Kumar, Harsh. "Cloud Compliance Security Optimization." INTERNATIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 06 (2025): 1–9. https://doi.org/10.55041/ijsrem49485.

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Abstract— Managing compliance with diverse regulatory standards in cloud environments poses considerable operational challenges for modern enterprises. Manual processes, duplicated efforts, and lack of traceability often complicate the audit lifecycle, especially when multiple frameworks like PCI DSS, ISO 27001, SOC 1, SOC 2, and C5 are involved. This paper introduces a scalable compliance optimization framework developed and deployed within Enterprise internal audit ecosystem to streamline audit readiness and control management. The framework integrates tools such as Compliance manager, Signa

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Marinou, Eleni, Kalliopi Artemis Voudouri, Ioanna Tsikoudi, et al. "Geometrical and Microphysical Properties of Clouds Formed in the Presence of Dust above the Eastern Mediterranean." Remote Sensing 13, no. 24 (2021): 5001. http://dx.doi.org/10.3390/rs13245001.

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In this work, collocated lidar–radar observations are used to retrieve the vertical profiles of cloud properties above the Eastern Mediterranean. Measurements were performed in the framework of the PRE-TECT experiment during April 2017 at the Greek atmospheric observatory of Finokalia, Crete. Cloud geometrical and microphysical properties at different altitudes were derived using the Cloudnet target classification algorithm. We found that the variable atmospheric conditions that prevailed above the region during April 2017 resulted in complex cloud structures. Mid-level clouds were observed in

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Iqbal, Ahmed. "Technology organization environment framework in cloud computing." TELKOMNIKA Telecommunication, Computing, Electronics and Control 18, no. 2 (2020): 716–25. https://doi.org/10.12928/TELKOMNIKA.v18i2.13871.

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Cloud Computing is a rapidly emerging technology over the last few years, that has abolished the burden of purchasing heavy hardware and software. Cloud computing has been advantageous to Small and Medium-sized Enterprises (SMEs), though many SMEs have not adopted to delve into its appealing benefits. To increase the cloud adoption rate in these Enterprises, the most important thing is to understand the aspects which influence the cloud adoption. The article focuses on these factors, which influence the use of cloud services by establishing the three layer hierarchical framework based on the g

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Diamond, Michael S., Amie Dobracki, Steffen Freitag, et al. "Time-dependent entrainment of smoke presents an observational challenge for assessing aerosol–cloud interactions over the southeast Atlantic Ocean." Atmospheric Chemistry and Physics 18, no. 19 (2018): 14623–36. http://dx.doi.org/10.5194/acp-18-14623-2018.

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Abstract. The colocation of clouds and smoke over the southeast Atlantic Ocean during the southern African biomass burning season has numerous radiative implications, including microphysical modulation of the clouds if smoke is entrained into the marine boundary layer. NASA's ObseRvations of Aerosols above CLouds and their intEractionS (ORACLES) campaign is studying this system with aircraft in three field deployments between 2016 and 2018. Results from ORACLES-2016 show that the relationship between cloud droplet number concentration and smoke below cloud is consistent with previously reporte

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Han, Jungsu, Sun Park, and JongWon Kim. "Dynamic OverCloud: Realizing Microservices-Based IoT-Cloud Service Composition over Multiple Clouds." Electronics 9, no. 6 (2020): 969. http://dx.doi.org/10.3390/electronics9060969.

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With the expansion of cloud-leveraged Information and Communications Technology (ICT) convergence trend, cloud-native computing is starting to be the de-facto paradigm together with MSA(Microservices Architecture)-based service composition for agility and efficiency. Moreover, by bridging the Internet of Things (IoT) and cloud together, a variety of cloud applications are explosively emerging. As an example, the so-called IoT-Cloud services, which are cloud-leveraged inter-connected services with distributed IoT devices, dynamically utilize geographically-distributed multiple clouds since mobi

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Xu, Dongmei, Thomas Auligné, Gaël Descombes, and Chris Snyder. "A method for retrieving clouds with satellite infrared radiances using the particle filter." Geoscientific Model Development 9, no. 11 (2016): 3919–32. http://dx.doi.org/10.5194/gmd-9-3919-2016.

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Abstract. Ensemble-based techniques have been widely utilized in estimating uncertainties in various problems of interest in geophysical applications. A new cloud retrieval method is proposed based on the particle filter (PF) by using ensembles of cloud information in the framework of Gridpoint Statistical Interpolation (GSI) system. The PF cloud retrieval method is compared with the Multivariate Minimum Residual (MMR) method that was previously established and verified. Cloud retrieval experiments involving a variety of cloudy types are conducted with the PF and MMR methods with measurements

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