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Journal articles on the topic 'Solutions cloud'

Author: Grafiati

Published: 25 May 2024

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1

Kokhanovsky, A. A., and T. Nauss. "Reflection and transmission of solar light by clouds: asymptotic theory." Atmospheric Chemistry and Physics 6, no. 12 (December 11, 2006): 5537–45. http://dx.doi.org/10.5194/acp-6-5537-2006.

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Abstract. The authors introduce a radiative transfer model CLOUD for reflection, transmission, and absorption characteristics of terrestrial clouds and discuss the accuracy of the approximations used within the model. A Fortran implementation of CLOUD is available for download. This model is fast, accurate, and capable of calculating multiple radiative characteristics of cloudy media including the spherical and plane albedo, reflection and transmission functions, absorptance as well as global and diffuse transmittance. The approximations are based on the asymptotic solutions of the radiative transfer equations valid at cloud optical thicknesses larger than 5. While the analytic part of the solutions is treated in the code in an approximate way, the correspondent reflection function (RF) of a semi-infinite water cloud R∞ is calculated using numerical solutions of the radiative transfer equation in the assumption of Deirmendjian's cloud C1 model. In the case of ice clouds, the fractal ice crystal model is used. The resulting values of R∞ with respect to the viewing geometry are stored in a look-up table (LUT). The results obtained are of importance for quick estimations of main radiative characteristics of clouds and also for the solution of inverse problems.

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Phaltane, Saurabh, Anand Nahar, and Nikhil Garge. "Scalable Logging Solutions on Cloud." SIJ Transactions on Computer Science Engineering & its Applications (CSEA) 02, no. 06 (December 11, 2014): 07–11. http://dx.doi.org/10.9756/sijcsea/v2i6/0207710301.

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Patil, Dr Dipti D., Dr V. M. Wadhai Dr. V. M. Wadhai, and Bhagyashri D. Dangewar. "Cloud Security: Problems and Solutions." International Journal of Scientific Research 3, no. 4 (June 1, 2012): 498–500. http://dx.doi.org/10.15373/22778179/apr2014/178.

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4

Kokhanovsky, A. A., and T. Nauss. "Reflection and transmission of solar light by clouds: asymptotic theory." Atmospheric Chemistry and Physics Discussions 6, no. 4 (August 31, 2006): 8301–34. http://dx.doi.org/10.5194/acpd-6-8301-2006.

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Abstract. The authors introduce the radiative transfer model CLOUD for reflection, transmission, and absorption characteristics of terrestrial clouds and discuss the accuracy of the approximations used within the model. A Fortran implementation of CLOUD is available for download. This model is fast, accurate, and capable of calculating multiple raditiative transfer characteristics of cloudy media including the spherical and plane albedo, reflection and transmission functions, absorptance as well as global and diffuse transmittance. The approximations are based on the asymptotic solutions of the radiative transfer equations. While the analytic part of the solutions is treated in the code in an approximate way, the correspondent reflection function (RF) of a semi-infinite water cloud R∞ is calculated using numerical solutions of the radiative transfer equations in the assumption of Deirmendjian's cloud C1 model. In the case of ice clouds, the fractal ice crystal model is used. The resulting values of R∞ with respect to the viewing geometry are stored in a look-up table (LUT).

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Maria, Amia, and Dr Bhuvana J. "Hybrid Cloud Solutions: Bridging On-Premises and Cloud Infrastructure." International Journal of Research Publication and Reviews 5, no. 3 (March 9, 2024): 4052–56. http://dx.doi.org/10.55248/gengpi.5.0324.0789.

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Kaleem, Hassan, and Ijaz Ahmed. "Cloud Forensics: Challenges and Solutions (Blockchain Based Solutions)." Innovative Computing Review 1, no. 2 (December 26, 2021): 1–26. http://dx.doi.org/10.32350/icr.0102.01.

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Cloud computing is an on-demand service provided for computer resources, data storage and enhancing computing power. Digital forensics is used to help forensic investigators extract evidence against cloud/ cybercriminals and maintain the integrity and security of data stored in a cloud environment. Based on the prior research in this area concerning existing challenges and solutions, this survey focuses on exploring the problems and their proposed solutions on the basis of a detailed literature survey. It critically explores and reviews the prevailing challenges and solutions through an in-depth review of the cloud forensic area. The paper highlights all the current problems in cloud forensics and their solutions previously identified by the researchers to help investigators probe any criminal incident. The three categorization model explores the challenges and solutions of the existing methods and offers directions for future research in this area. Finally, this survey paper can be considered an initiative to carry out research and develop cloud forensic-able services for the cloud environment. INDEX TERMS: blockchain based solution, cloud forensics, cloud forensics challenges, cloud forensics methodologies, cloud forensics solutions

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Raut, Anjana, Anwesha Pattnaik, Rupsa Rani Sahu, and Avni Rana. "Cloud Solutions in Global Health Solutions." International Journal of Inventive Engineering and Sciences 10, no. 1 (January 30, 2023): 1–5. http://dx.doi.org/10.35940/ijies.a1074.0110123.

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Digital innovations and their applications in healthcare have changed the current scenario of delivering healthcare services and storing data. Cloud computing is one such technological adjunct that has the capability of storing volumes of medical data that can be accessed anytime through internet from anywhere. Today all smart devices and health related apps designed for lifestyle changes and monitoring of medical problems use cloud-based programs. These applications result in positive reinforcement for inculcating regular monitoring and counselling. The paper critically discusses and summarizes the cloud-aided performance and applications in health and research. Moreover, it outlines the integration of cloud technology in handling drug theft and counterfeiting. The paper explores misconfigurations and associated risk of current technology to comprehend future scope and applications.

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Aouat, Asmaa, El Abbassia Deba, Abou El Hassan Benyamina, and Djilali Benhamamouch. "Deployment in Cloud Computing." International Journal of Distributed Systems and Technologies 11, no. 1 (January 2020): 27–37. http://dx.doi.org/10.4018/ijdst.2020010103.

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Although clouds have adopted common communication protocols such as HTTP and SOAP, interoperability, integration, and coordination of all clouds remain a concern. Instead, companies are looking for solutions to deploy an infrastructure that spans multiple instances of public and private clouds. Each of the proposed cloud solutions has its own limitations, management APIs, and development cycles that must be monitored and managed to provide a consistent set. The objective of the article is to answer the question: Is there a platform to deploy, run and manage applications in a multi-cloud environment and to ensure their availability, performance, and optimal use of resources?

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Kumar, N. Pradeep, and Mr Rahul Pawar. "Cloud-Based IoT Solutions for Smart Cities." International Journal of Research Publication and Reviews 5, no. 3 (March 9, 2024): 4378–85. http://dx.doi.org/10.55248/gengpi.5.0324.07111.

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Dumic, Emil, and Luis A. da Silva Cruz. "Point Cloud Coding Solutions, Subjective Assessment and Objective Measures: A Case Study." Symmetry 12, no. 12 (November 26, 2020): 1955. http://dx.doi.org/10.3390/sym12121955.

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This paper presents a summary of recent progress in compression, subjective assessment and objective quality measures of point cloud representations of three dimensional visual information. Different existing point cloud datasets, as well as discusses the protocols that have been proposed to evaluate the subjective quality of point cloud data. Several geometry and attribute point cloud data objective quality measures are also presented and described. A case study on the evaluation of subjective quality of point clouds in two laboratories is presented. Six original point clouds degraded with G-PCC and V-PCC point cloud compression and five degradation levels were subjectively evaluated, showing high inter-laboratory correlation. Furthermore, performance of several geometry-based objective quality measures applied to the same data are described, concluding that the highest correlation with subjective scores is obtained using point-to-plane measures. Finally, several current challenges and future research directions on point clouds compression and quality evaluation are discussed.

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Barabash, Kathy, David Breitgand, Etai Lev-Ran, Dean H. Lorenz, and Danny Raz. "A case for an open customizable cloud network." ACM SIGCOMM Computer Communication Review 52, no. 2 (April 30, 2022): 56–62. http://dx.doi.org/10.1145/3544912.3544919.

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Cloud computing is transforming networking landscape over the last few years. The first order of business for major cloud providers today is to attract as many organizations as possible to their own clouds. To that end cloud providers offer a new generation of managed network solutions to connect the premises of the enterprises to their clouds. To serve their customers better and to innovate fast, major cloud providers are currently on the route to building their own "private Internets", which are idiosyncratic. On the other hand, customers that do not want to stay locked by vendors and who want flexibility in using best-for-the-task services spanning multiple clouds and, possibly, their own premises, seek for solutions that will provide smart overlay connectivity across clouds. The result of these developments is a multiplication of closed idiosyncratic solutions rather than an open standardized ecosystem. In this editorial note we argue for desirability of such an ecosystem, outline the main requirements and sketch possible solutions. We focus on enterprise as our primary use case and illustrate the main ideas through it, but the same principles apply to various different use cases.

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Vegesna, Dr Vinod Varma. "Methodologies for Enhancing Data Integrity and Security in Distributed Cloud Computing with Techniques to Implement Security Solutions." Asian Journal of Applied Science and Technology 06, no. 02 (2022): 167–80. http://dx.doi.org/10.38177/ajast.2022.6217.

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Usually, cloud infrastructure is used individually by businesses, whereas the hybrid cloud would be a blend of two or many kinds of clouds. Because as clouds become increasingly common, safety issues also expanding. Because of such cybersecurity threats, numerous experts suggested procedures as well as ways to assure internet confidentiality. Providers of cloud-based services were accountable for the complete safety of cloud information. Nevertheless, since the clouds are accessible (easily accessible over the World wide web), much research has been conducted on cloud storage cybersecurity. This paper describes methods for enhancing security and reliability in decentralized cloud-based solutions, as well as suggests a few security solution methods of implementation.

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Dodani, Mahesh H. "‘Architected’ Cloud Solutions Revealed." Journal of Object Technology 9, no. 2 (2010): 27. http://dx.doi.org/10.5381/jot.2010.9.2.c4.

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Mahadasa, Ravikiran, and Pavani Surarapu. "Toward Green Clouds: Sustainable Practices and Energy-Efficient Solutions in Cloud Computing." Asia Pacific Journal of Energy and Environment 3, no. 2 (December 17, 2016): 83–88. http://dx.doi.org/10.18034/apjee.v3i2.713.

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This article explores the imperative shift "Toward Green Clouds," investigating sustainable practices and energy-efficient solutions in cloud computing. Examining the environmental impact of traditional cloud infrastructures, the study identifies critical energy consumption patterns, carbon emissions, and resource depletion. Strategies for enhancing energy efficiency, including advanced cooling technologies, server virtualization, and renewable energy integration, are elucidated as pivotal components for mitigating environmental consequences. The article introduces conceptual frameworks rooted in ecological modernization and triple bottom line considerations, providing a structured roadmap for stakeholders. It underscores the significance of policy interventions, Green Cloud Certification Programs, and continuous improvement initiatives. The major findings highlight a transformative journey toward environmentally responsible cloud computing practices, emphasizing a balance between technological innovation and ecological stewardship for the realization of "Green Clouds."

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Al-Museelem, Waleed, and Chun Lin Li. "Data Security and Data Privacy in Cloud Computing." Advanced Materials Research 905 (April 2014): 687–92. http://dx.doi.org/10.4028/www.scientific.net/amr.905.687.

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Cloud computing has led to the development of IT to more sophisticated levels by improving the capacity and flexibility of data storage and by providing a scalable computation and processing power which matches the dynamic data requirements. Cloud computing has many benefits which has led to the transfer of many enterprise applications and data to public and hybrid clouds. However, many organizations refer to the protection of privacy and the security of data as the major issues which prevent them from adopting cloud computing. The only way successful implementation of clouds can be achieved is through effective enhancement and management of data security and privacy in clouds. This research paper analyzes the privacy and protection of data in cloud computing through all data lifecycle stages providing an overall perspective of cloud computing while highlighting key security issues and concerns which should be addressed. It also discusses several current solutions and further proposes more solutions which can enhance the privacy and security of data in clouds. Finally, the research paper describes future research work on the protection of data privacy and security in clouds.

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Khvorostyanov, Vitaly I., and Judith A. Curry. "Analytical Solutions to the Stochastic Kinetic Equation for Liquid and Ice Particle Size Spectra. Part I: Small-Size Fraction." Journal of the Atmospheric Sciences 65, no. 7 (July 1, 2008): 2025–43. http://dx.doi.org/10.1175/2007jas2484.1.

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Abstract The kinetic equation of stochastic condensation for cloud drop size spectra is extended to account for crystalline clouds and also to include the accretion–aggregation process. The size spectra are separated into small and large size fractions that correspond to cloud drops (ice) and rain (snow). In Part I of this two-part paper, analytical solutions are derived for the small-size fractions of the spectra that correspond to cloud drops and cloud ice particles that can be identified with cloud liquid water or cloud ice water content, and used in bulk microphysical schemes employed in cloud and climate models. Solutions for the small-size fraction have the form of generalized gamma distributions. Simple analytical expressions are found for parameters of the gamma distributions that are functions of quantities that are available in cloud and climate models: liquid or ice water content and its vertical gradient, mean particle radius or concentration, and supersaturation or vertical velocities. Equations for the gamma distribution parameters provide an explanation of the dependence of the observed spectra on atmospheric dynamics, cloud temperature, and cloud liquid water or ice water content. The results are illustrated with example calculations for a crystalline cloud. The analytical solutions and expressions for the parameters presented here can be used for parameterization of the small-size fraction size spectra in liquid and crystalline clouds and related quantities (e.g., optical properties, lidar, and radar reflectivities).

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STELEA, George-Alex, Radu CURPEN, Ștefania ȘURARIU, and Alexandru PAPOI. "PEER-TO-PEER REAL-TIME CLOUD COMMUNICATION SOLUTIONS." Review of the Air Force Academy 14, no. 2 (December 8, 2016): 99–108. http://dx.doi.org/10.19062/1842-9238.2016.14.2.12.

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Doronkina, Irina Gennadiyevna, Evgeny Efimovich Krasnovskiy, Elena Viktorovna Zakharova, Pavel Viktorovich Ulianishchev, and Liudmila Viktorovna Ulyanishcheva. "Academic Cloud Services: Innovative Solutions and International Practice." Journal of Advanced Research in Dynamical and Control Systems 11, no. 11-SPECIAL ISSUE (November 29, 2019): 65–72. http://dx.doi.org/10.5373/jardcs/v11sp11/20192930.

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Singh Gurjit Singh, Sahibdeep. "Microservices Security Challenges and Solutions in Cloud Environment." International Journal of Science and Research (IJSR) 13, no. 3 (March 5, 2024): 201–5. http://dx.doi.org/10.21275/sr24303144734.

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Mouli, K. Chandra, and U. Seshadri. "Singleto Multi Clouds for Security in Cloud Computing by using Secret Key Sharing." INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY 10, no. 4 (August 15, 2013): 1539–45. http://dx.doi.org/10.24297/ijct.v10i4.3254.

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Now a day Cloud Computing is rapidly using computing technology. For low cost and high-end benefits this cloud computing is utilized. The major issue in this cloud computing is Ensuring the security, because the often store sensitive data with third party cloudproviders but these providers may beuntrusted.Working with single cloud is prevented, because in customerâ€™s perception the failure in service availability and thepossibility of viciousgang in single cloud. To overcome these types of failures, a recent and popular technology is emerged called cloud of clouds or multi clouds or inters clouds. In this paper we illustrated the recent research towards multi clouds from single cloud and addressed possible solutions in security concern.Here we used the SSS (Secret Key Sharing) technique to share the key between servers. From this we can found that there is less attention in the field of multi cloud security compare with single cloud providers. The main intention of this work is to reduce the security risks related to cloud users and to encourage theuse of cloud- of -clouds due to its ability.

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Ahmed Ibrahim Turki and Qasim Mohammed Hussein. "Solutions of diagnosis of security issues and attacks for storage in cloud computing." Tikrit Journal of Pure Science 23, no. 4 (August 5, 2018): 118–23. http://dx.doi.org/10.25130/tjps.v23i4.532.

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Cloud computing is technique cost-effective, flexible, and convenient in remote access to applications and storage services, making it easy to provide information technology services and business across the Internet. Nevertheless, the use of cloud computing is an additional source of security risk due to third-party outsourcing, as makes maintaining the privacy, availability and security of data is very difficult. Cloud computing has many of its supporting technologies (virtualization, Web 2.0, service-oriented architecture), which inherits many security issues and makes them susceptible to attacks. Most of the previous work focused on storing data in the cloud without taking security issues and attacks into consideration. In this paper, we provide an analysis of security issues in cloud storage and possible solutions. With regard to the attacks on the data stored in the clouds, parametric comparison including all the details and countermeasures are provided. Finally, this paper provides a significant contribution to building a secure cloud environment for data storage, its privacy and recovery in disaster situations.

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Zhu, You Chan, Peng Liu, and Jun Ting Wang. "Cloud Security Research in Cloud Computing." Applied Mechanics and Materials 198-199 (September 2012): 415–19. http://dx.doi.org/10.4028/www.scientific.net/amm.198-199.415.

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Brintha, N. C., and Shajulin Benedict. "A survey on cloud-based solutions for cloud manufacturing." International Journal of Computer Aided Engineering and Technology 10, no. 1/2 (2018): 126. http://dx.doi.org/10.1504/ijcaet.2018.088834.

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Brintha, N. C., and Shajulin Benedict. "A survey on cloud-based solutions for cloud manufacturing." International Journal of Computer Aided Engineering and Technology 10, no. 1/2 (2018): 126. http://dx.doi.org/10.1504/ijcaet.2018.10009688.

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Turab, Nidal M., Anas Abu Taleb, and Shadi R. Masadeh. "Cloud Computing Challenges And Solutions." International journal of Computer Networks & Communications 5, no. 5 (September 30, 2013): 209–16. http://dx.doi.org/10.5121/ijcnc.2013.5515.

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Potdar, Aarti, Pranav Patil, Raunak Bagla, and Rohitashwa Pandey. "Security Solutions for Cloud Computing." International Journal of Computer Applications 128, no. 16 (October 15, 2015): 17–21. http://dx.doi.org/10.5120/ijca2015906747.

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Agrawal, Rajeev, Anand Bedekar, Troels Kolding, and Vishnu Ram. "Cloud RAN challenges and solutions." Annals of Telecommunications 72, no. 7-8 (June 12, 2017): 387–400. http://dx.doi.org/10.1007/s12243-017-0584-5.

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Akyurek, Bengu Ozge, and Jan Kleissl. "Closed-Form Analytic Solution of Cloud Dissipation for a Mixed-Layer Model." Journal of the Atmospheric Sciences 74, no. 8 (July 25, 2017): 2525–56. http://dx.doi.org/10.1175/jas-d-16-0303.1.

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Abstract Stratocumulus clouds play an important role in climate cooling and are hard to predict using global climate and weather forecast models. Thus, previous studies in the literature use observations and numerical simulation tools, such as large-eddy simulation (LES), to solve the governing equations for the evolution of stratocumulus clouds. In contrast to the previous works, this work provides an analytic closed-form solution to the cloud thickness evolution of stratocumulus clouds in a mixed-layer model framework. With a focus on application over coastal lands, the diurnal cycle of cloud thickness and whether or not clouds dissipate are of particular interest. An analytic solution enables the sensitivity analysis of implicitly interdependent variables and extrema analysis of cloud variables that are hard to achieve using numerical solutions. In this work, the sensitivity of inversion height, cloud-base height, and cloud thickness with respect to initial and boundary conditions, such as Bowen ratio, subsidence, surface temperature, and initial inversion height, are studied. A critical initial cloud thickness value that can be dissipated pre- and postsunrise is provided. Furthermore, an extrema analysis is provided to obtain the minima and maxima of the inversion height and cloud thickness within 24 h. The proposed solution is validated against LES results under the same initial and boundary conditions.

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Kumar, Indrajeet. "Cloud Computing-based Disaster Recovery." Turkish Journal of Computer and Mathematics Education (TURCOMAT) 11, no. 1 (April 30, 2020): 815–20. http://dx.doi.org/10.17762/turcomat.v11i1.13562.

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Cloud-based disaster recovery (DR) solutions help organisations recover from natural disasters and cyberattacks quickly and affordably. Cloud-based disaster recovery solutions improve recovery times, capital costs, scalability, and security. Yet, data security and DR strategy are still barriers to adoption. Only two issues. Besides these challenges, cloud-based catastrophe recovery looks promising. Cloud-based disaster recovery solutions will continue to grow as cloud technology improves. Hybrid cloud disaster recovery solutions, which integrate public and private cloud environments, will continue to grow in popularity, as will DRaaS, a cost-effective and flexible disaster recovery solution. As cloud-based disaster recovery solutions grow more prevalent, organisations must understand their disaster recovery needs, carefully analyse their cloud service providers' security and compliance procedures, and regularly test and update their disaster recovery plans and solutions. If organisations follow these measures, they may maximise the benefits of cloud-based disaster recovery solutions to safeguard their critical data and apps and ensure business continuity in a disaster.

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Catherine Kanini. "Cloud computing communication environment security and performance: Challenges and probable solutions." World Journal of Advanced Engineering Technology and Sciences 8, no. 1 (January 30, 2023): 110–27. http://dx.doi.org/10.30574/wjaets.2023.8.1.0024.

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The adoption of cloud computing has continued to grow, owing to its broad network access, remote accessibility, scalability, on demand self-service, rapid elasticity and resource pooling. In this environment, numerous devices are deployed to access the cloud data and services. This potentially increases the attack services, more so in public clouds. As such, the biggest challenge is the secure data exchange over insecure open network channels. This issue has seen the development of numerous security solutions over the recent past. In this paper, a survey of these security schemes, techniques and methods is provided. The findings indicate that majority of these methods have vulnerabilities that expose users to many attacks. Additionally, some of these security solutions have extremely high complexities that make the cloud communications inefficient.

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Bhansali, Aayushi. "Cloud Security and Privacy." International Journal for Research in Applied Science and Engineering Technology 11, no. 8 (August 31, 2023): 1539–42. http://dx.doi.org/10.22214/ijraset.2023.55416.

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Abstract: Over the last decade, cloud computing has grown and evolved significantly. It provides cost-effective solutions as well as a wide range of adaptable services. Many businesses are using cloud services. Users mostly use cloud services to save data in a virtual environment. Users have no knowledge of or influence over what happens in the cloud, and nothing in the cloud is visible to them, which raises security and privacy problems. Malicious administrators can mess with the integrity, privacy, virtual machines, and volatile confidentiality of cloud services. Clouds are vulnerable to hacking, and their integrity, availability, and data security are all in jeopardy.

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Muhammad Zulkifl Hasan, Zaka Ullah, Taimoor Hasan, and Noor ul Qamar. "Cloud Information Security Challenges and Accountable Solutions." Lahore Garrison University Research Journal of Computer Science and Information Technology 2, no. 1 (March 30, 2018): 31–36. http://dx.doi.org/10.54692/lgurjcsit.2018.020142.

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Cloud computing model is an advanced framework which utilizes consolidated idea of “utilitycomputing” and “software-as-a-service”, providing convenient and on-demand services torequested end users. Security in cloud figuring is a basic angle confronting a few issues that must bemulled over. Safety from any sort of external threats must be taken into care by the cloud serviceprovider and consumer so that any data theft issue is not faced by the customer afterwards. Aprobability emerges that a noxious customer can invade the cloud by having honest customers,therefore defiling the entire cloud and affecting various customers who are sharing the tainted cloudin the meantime. This exploration covers the parameters that impact the security of the cloud and itin this way it also examines cloud security issues looked by cloud expert centres and purchasers ofcloud, for instance, data integrity and other security issues.

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Qin, Guocheng, Yin Zhou, Kaixin Hu, Daguang Han, and Chunli Ying. "Automated Reconstruction of Parametric BIM for Bridge Based on Terrestrial Laser Scanning Data." Advances in Civil Engineering 2021 (January 7, 2021): 1–17. http://dx.doi.org/10.1155/2021/8899323.

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Building information modeling (BIM) in industrialized bridge construction is usually performed based on initial design information. Differences exist between the model of the structure and its actual geometric dimensions and features due to the manufacturing, transportation, hoisting, assembly, and load bearing of the structure. These variations affect the construction project handover and facility management. The solutions available at present entail the use of point clouds to reconstruct BIM. However, these solutions still encounter problems, such as the inability to obtain the actual geometric features of a bridge quickly and accurately. Moreover, the created BIM is nonparametric and cannot be dynamically adjusted. This paper proposes a fully automatic method of reconstructing parameterized BIM by using point clouds to address the abovementioned problems. An algorithm for bridge point cloud segmentation is developed; the algorithm can separate the bridge point cloud from the entire scanning scene and segment the unit structure point cloud. Another algorithm for extracting the geometric features of the bridge point cloud is also proposed; this algorithm is effective for partially missing point clouds. The feasibility of the proposed method is evaluated and verified using theoretical and actual bridge point clouds, respectively. The reconstruction quality of BIM is also evaluated visually and quantitatively, and the results show that the reconstructed BIM is accurate and reliable.

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Qin, Guocheng, Yin Zhou, Kaixin Hu, Daguang Han, and Chunli Ying. "Automated Reconstruction of Parametric BIM for Bridge Based on Terrestrial Laser Scanning Data." Advances in Civil Engineering 2021 (January 7, 2021): 1–17. http://dx.doi.org/10.1155/2021/8899323.

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Building information modeling (BIM) in industrialized bridge construction is usually performed based on initial design information. Differences exist between the model of the structure and its actual geometric dimensions and features due to the manufacturing, transportation, hoisting, assembly, and load bearing of the structure. These variations affect the construction project handover and facility management. The solutions available at present entail the use of point clouds to reconstruct BIM. However, these solutions still encounter problems, such as the inability to obtain the actual geometric features of a bridge quickly and accurately. Moreover, the created BIM is nonparametric and cannot be dynamically adjusted. This paper proposes a fully automatic method of reconstructing parameterized BIM by using point clouds to address the abovementioned problems. An algorithm for bridge point cloud segmentation is developed; the algorithm can separate the bridge point cloud from the entire scanning scene and segment the unit structure point cloud. Another algorithm for extracting the geometric features of the bridge point cloud is also proposed; this algorithm is effective for partially missing point clouds. The feasibility of the proposed method is evaluated and verified using theoretical and actual bridge point clouds, respectively. The reconstruction quality of BIM is also evaluated visually and quantitatively, and the results show that the reconstructed BIM is accurate and reliable.

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Khan, Humra. "Energy Management in Cloud Through Green Cloud Technologies." Journal of Management and Service Science (JMSS) 2, no. 2 (2022): 1–11. http://dx.doi.org/10.54060/jmss.v2i2.19.

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To address the issue of storage and processing of large-scale data, Cloud Computing has gained swift progression in the field of technology. Though offering solutions to many problems, cloud computing is still in the early stage of research and implementa-tion. It suffers from many challenges namely security, standardization and energy con-sumption. In this paper, we focus on the issue of energy consumption through cloud computing and the technology known as Green Cloud Computing to tackle the said issue. Green Cloud Computing plans to lessen the immense energy utilization, the re-quirement of physical equipment, destructive fossil fuel byproducts and so on. To shield our current circumstances from cloud technology’s adverse consequences, the cloud framework should be updated toward green registering. Green cloud computing broad-ly centers around the planning of effective clouds with green qualities like efficient en-ergy management, virtualization, load balancing, green servers, reusability, grid com-puting and recyclability.

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Bawa, H., Y. Gao, J. Moss, and K. Grimm. "Explore cloud solutions for ATLAS with $250,000 AWS cloud credits." Journal of Physics: Conference Series 1525 (April 2020): 012072. http://dx.doi.org/10.1088/1742-6596/1525/1/012072.

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Pańkowska, Małgorzata, Krzysztof Pyszny, and Artur Strzelecki. "Users’ Adoption of Sustainable Cloud Computing Solutions." Sustainability 12, no. 23 (November 27, 2020): 9930. http://dx.doi.org/10.3390/su12239930.

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The paper is dedicated to factors influencing users’ adoption of sustainable cloud computing solutions. The article covers the important characteristics related to cloud computing. It also discusses how sustainable cloud computing is important for sustainability. The current state of their security and potential threats waiting for users is reviewed. The purpose of this study is to investigate the influence of perceived usefulness, security, availability, and satisfaction on users’ adoption of sustainable cloud computing solutions. The study tested and used the adapted Technology Acceptance Model (TAM) model in the context of cloud computing solutions. The partial least square method of structural equation modeling is employed to test the proposed research model. The study utilizes an online survey to obtain data from 252 cloud computing solutions users. The data set was analyzed using SmartPLS 3 software. Results showed that the best predictor of users’ perceived usefulness and system & service quality is perceived availability, followed by perceived security. Both perceived usefulness and system & service quality predict users’ attitude and intention to use of cloud computing solutions. The findings improve understanding regarding the adoption of cloud computing solutions, and this work is, therefore, of particular interest to the IT departments and cloud computing vendors.

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Liu, Yun Chang, and Chun Lin Li. "A Stratified Monitoring Model for Hybrid Cloud." Applied Mechanics and Materials 719-720 (January 2015): 900–906. http://dx.doi.org/10.4028/www.scientific.net/amm.719-720.900.

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Hybrid clouds integrate different cloud solutions. Its inherent complexity and short of standard urge for a careful analysis, systematizing and understanding of monitoring. In this context, this paper provides a deep insight into hybrid cloud monitoring. It proposes a layered monitoring model for hybrid clouds, identifying the multiple layers of monitoring, focusing on physical infrastructure layer, virtual infrastructure layer, network, application/service layer, while combining the perspectives of service providers and clients. This process involves the identification of relevant parameters and metrics for each layer. Due to its flexibiliity and intelligence, using Agent technology, an agent-based monitoring architecture is presented. It enables to eliminate the complexity among different cloud platforms.This study contributes to achieve a clearer and more efficient approach to hybrid cloud monitoring.

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Chhikara, Shashi, Iti Raghav, and Nitasha Hasteer. "Analyzing Security Solutions in Cloud Computing." International Journal of Computer Applications 68, no. 25 (April 18, 2013): 17–21. http://dx.doi.org/10.5120/11750-7247.

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Attitalla, Samah, Viraj Chocksi, and M. B. "IBM Cloud Solutions for Home Automation." International Journal of Computer Applications 164, no. 4 (April 17, 2017): 15–21. http://dx.doi.org/10.5120/ijca2017913610.

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Chmielecki, Przemysław. "Machine Learning Based on Cloud Solutions." Edukacja – Technika – Informatyka 27, no. 1 (2019): 132–38. http://dx.doi.org/10.15584/eti.2019.1.17.

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Dodani, Mahesh H. "The Practice of ‘Architecting’ Cloud Solutions." Journal of Object Technology 9, no. 1 (2010): 25. http://dx.doi.org/10.5381/jot.2010.9.1.c3.

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STEFAN, HENRY, and LIAKAT ALI Md. "CLOUD COMPUTING SECURITY THREATS AND SOLUTIONS." i-manager’s Journal on Cloud Computing 4, no. 2 (2017): 1. http://dx.doi.org/10.26634/jcc.4.2.14249.

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GHEORGHE, Mihaela. "Mobile Cloud Computing for Telemedicine Solutions." Informatica Economica 18, no. 4/2014 (December 30, 2014): 50–61. http://dx.doi.org/10.12948/issn14531305/18.4.2014.05.

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Gangadharan, G. R. "Open Source Solutions for Cloud Computing." Computer 50, no. 1 (January 2017): 66–70. http://dx.doi.org/10.1109/mc.2017.20.

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Tutunea, Mihaela Filofteia. "SMEs’ Perception on Cloud Computing Solutions." Procedia Economics and Finance 15 (2014): 514–21. http://dx.doi.org/10.1016/s2212-5671(14)00498-5.

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Lorünser, Thomas, Stephan Krenn, Christoph Striecks, and Thomas Länger. "Agile cryptographic solutions for the cloud." e & i Elektrotechnik und Informationstechnik 134, no. 7 (September 18, 2017): 364–69. http://dx.doi.org/10.1007/s00502-017-0519-x.

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Zhou, Daniel K., William L. Smith, Xu Liu, Allen M. Larar, Stephen A. Mango, and Hung-Lung Huang. "Physically Retrieving Cloud and Thermodynamic Parameters from Ultraspectral IR Measurements." Journal of the Atmospheric Sciences 64, no. 3 (March 1, 2007): 969–82. http://dx.doi.org/10.1175/jas3877.1.

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Abstract A physical inversion scheme has been developed dealing with cloudy as well as cloud-free radiance observed with ultraspectral infrared sounders to simultaneously retrieve surface, atmospheric thermodynamic, and cloud microphysical parameters. A fast radiative transfer model, which applies to the clouded atmosphere, is used for atmospheric profile and cloud parameter retrieval. A one-dimensional (1D) variational multivariable inversion solution is used to improve an iterative background state defined by an eigenvector-regression retrieval. The solution is iterated in order to account for nonlinearity in the 1D variational solution. It is shown that relatively accurate temperature and moisture retrievals can be achieved below optically thin clouds. For optically thick clouds, accurate temperature and moisture profiles down to cloud-top level are obtained. For both optically thin and thick cloud situations, the cloud-top height can be retrieved with relatively high accuracy (i.e., error <1 km). National Polar-orbiting Operational Environmental Satellite System (NPOESS) Airborne Sounder Testbed Interferometer (NAST-I) retrievals from the The Observing-System Research and Predictability Experiment (THORPEX) Atlantic Regional Campaign are compared with coincident observations obtained from dropsondes and the nadir-pointing cloud physics lidar (CPL). This work was motivated by the need to obtain solutions for atmospheric soundings from infrared radiances observed for every individual field of view, regardless of cloud cover, from future ultraspectral geostationary satellite sounding instruments, such as the Geosynchronous Imaging Fourier Transform Spectrometer (GIFTS). However, this retrieval approach can also be applied to the ultraspectral sounding instruments to fly on polar satellites, such as the Infrared Atmospheric Sounding Interferometer (IASI) on the European MetOp satellite, the Cross-track Infrared Sounder (CrIS) on the NPOESS Preparatory Project, and the follow-on NPOESS series of satellites.

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Chen, Chih-Yung, and Jih-Fu Tu. "A Novel Cloud Computing Algorithm of Security and Privacy." Mathematical Problems in Engineering 2013 (2013): 1–6. http://dx.doi.org/10.1155/2013/871430.

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The emergence of cloud computing has simplified the flow of large-scale deployment distributed system of software suppliers; when issuing respective application programs in a sharing clouds service to different user, the management of material becomes more complex. Therefore, in multitype clouds service of trust environment, when enterprises face cloud computing, what most worries is the issue of security, but individual users are worried whether the privacy material will have an outflow risk. This research has mainly analyzed several different construction patterns of cloud computing, and quite relevant case in the deployment construction security of cloud computing by fit and unfit quality, and proposed finally an optimization safe deployment construction of cloud computing and security mechanism of material protection calculating method, namely, Global Authentication Register System (GARS), to reduce cloud material outflow risk. We implemented a system simulation to test the GARS algorithm of availability, security and performance. By experimental data analysis, the solutions of cloud computing security, and privacy derived from the research can be effective protection in cloud information security. Moreover, we have proposed cloud computing in the information security-related proposals that would provide related units for the development of cloud computing security practice.

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Vaïtilingom, M., T. Charbouillot, L. Deguillaume, R. Maisonobe, M. Parazols, P. Amato, M. Sancelme, and A. M. Delort. "Atmospheric chemistry of carboxylic acids: microbial implication versus photochemistry." Atmospheric Chemistry and Physics Discussions 11, no. 2 (February 9, 2011): 4881–911. http://dx.doi.org/10.5194/acpd-11-4881-2011.

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Abstract. Clouds are multiphasic atmospheric systems in which the dissolved organic compounds, dominated by carboxylic acids, are subject to multiple chemical transformations in the aqueous phase. Among them, solar radiation, by generating hydroxyl radicals (•OH), is considered as the main catalyzer of the reactivity of organic species in clouds. We investigated to which extent the active biomass existing in cloud water represents an alternative route to the chemical reactivity of carboxylic acids. Pure cultures of seventeen bacterial strains (Arthrobacter, Bacillus, Clavibacter, Frigoribacterium, Pseudomonas, Sphingomonas and Rhodococcus), previously isolated from cloud water and representative of the viable community of clouds were first individually incubated in two artificial bulk cloud water solutions at 17 °C and 5 °C. These solutions mimicked the chemical composition of cloud water from "marine" and "continental" air masses, and contained the major carboxylic acids existing in the cloud water (i.e. acetate, formate, succinate and oxalate). The concentrations of these carboxylic compounds were monitored over time and biodegradation rates were determined. In average, they ranged from 2 ×10−19 for succinate to 1 × 10−18 mol cell−1 s−1 for formate at 17 °C and from 4 × 10−20 for succinate to 6 × 10−19 mol cell−1 s−1 for formate at 5 °C, with no significant difference between "marine" and "continental" media. In parallel, irradiation experiments were also conducted in these two artificial media to compare biodegradation and photodegradation of carboxylic compounds. To complete this comparison, the photodegradation rates of carboxylic acids by •OH radicals were calculated from literature data. Inferred estimations suggested a significant participation of microbes to the transformation of carboxylic acids in cloud water, particularly for acetate and succinate (up to 90%). Furthermore, a natural cloud water sample was incubated (including its indigenous microflora); the rates of biodegradation were determined and compared to the photodegradation rates involving •OH radicals. The biodegradation rates in "natural" and "artificial" cloud water were in the same order of magnitude; this confirms the significant role of the active biomass in the aqueous reactivity of clouds.

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