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Articles de revues sur le sujet « Clod computing »

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Auteur : Grafiati
Publié le 14 mars 2023

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1

Et. al., Pavithra G,. « A Novel Watermarking and Re-Encryption Approach to Avoid Illegal Content Sharing In Cloud ». Turkish Journal of Computer and Mathematics Education (TURCOMAT) 12, no 2 (10 avril 2021) : 2603–9. http://dx.doi.org/10.17762/turcomat.v12i2.2229.

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Cloud computing is a set of information stored in a cloud, it can be accessed by the user whenever there is a need to access. Cloud computing is a combination of large interconnected computers. Importance of clod computing are storage and processing power to run application. Information can be access from anywhere .Data management is also one importance of the cloud computing. It improves performance. And also a lower infrastructure cost. Lower bandwidth does not support. Another important disadvantage is security thread. Cloud computing requires a constant internet connection. By using watermarking and re-encryption technique we can overcome the problem of security thread in the cloud. In this article we briefly discuss about the above mentioned technique for implementing to overcome the security thread in the cloud computing.
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Odhiambo, Fredrick, Thomas Mose et Tobias Mwalili. « Precursors of Cloud Computing Adoption in Selected Banks in Kenya ». International Journal of Technology and Systems 7, no 2 (27 octobre 2022) : 56–94. http://dx.doi.org/10.47604/ijts.1676.

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Purpose: The study analyzed the precursors of adoption of cloud computing in selected banks in Kenya. Specifically, the study sought to establish the effect of data security on adoption of cloud computing in selected banks in Kenya, to establish how organizational culture affects adoption of cloud computing in selected banks in Kenya, to establish how supplier lock- in affects adoption of cloud computing in selected banks in Kenya and to establish how regulatory policy affects adoption of cloud computing in selected banks in Kenya. Methodology: The study employed descriptive research design and inferential statistics. The target population was 366 ICT staff from 3 selected banks namely NCBA, KCB Bank and Equity bank. The selected banks had the largest market share according to published CBK supervisory report for year 2020. The sample size was 191 respondents. A structured questionnaire was used to collect the data. Responses in the questionnaires were tabulated, coded and processed by use of a computer statistical package for social sciences version 28 (SPSS) program to analyze the data. The responses from the open-ended questions were listed to obtain proportions appropriately and then reported by descriptive narrative. Descriptive statistics like mean, standard deviation were used. The ANOVA test was used to establish the findings from the study and results presented in graphs and charts. Findings: Cloud computing adoption was evaluated for the select commercial banks across three areas namely core-banking systems, middle office and compliance systems and back-office, data science and innovation systems over a period of five years. The respondents indicated that no more than one cloud computing project was either in planning, implementation, failed or completed stages, indicating that despite the perceived benefits of cloud computing there are precursors that need to be addressed if the commercial banks are to fully embrace cloud computing. Unique contribution to theory, practice and policy: In terms of policy, the findings of the study will be important to regulators like CA, CBK and other institutions that regulate financial institutions in coming up with relevant guidelines when it comes to handling customer data within Cloud Computing environment. It gives banking sector perspective of some of the issues that require attention if the envisaged benefits of clod computing are to be fully realized. This is important not only to the policy makers but also to the cloud service providers . Additionally, the findings give a theoretical basis of validating the antecedents of cloud computing adoption in the banking sector in Kenya and this can be extended to the rest of the world. The findings give a practical perspective of the real concerns the banks have to contend with from a practical perspective and therefore very critical in advancement of cloud computing technologies.
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Et. al., Krishan Tuli ,. « Comparisons of Energy Efficiency Management Techniques in Cloud Based Environment ». Turkish Journal of Computer and Mathematics Education (TURCOMAT) 12, no 2 (11 avril 2021) : 491–99. http://dx.doi.org/10.17762/turcomat.v12i2.858.

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Cloud computing has been transforming large part of various IT services into virtualization which are made available as a utility services and scheduling plays a vital role here to get maximum utilization from various physical resources. Cloud Computing has been offering its virtual resources and services anywhere and anytime on pay-as-you-go basis. So, Cloud Computing becomes a backbone in the various fields of Industry and Academia for providing the storage backups, load balancing and most importantly providing the dynamic resource scheduling on a real-time basis. Therefore, energy consumption will be very high by the various clod data centers which lead to very high amount of operational cost and harm the environment as well. Hence, there is a requirement of Green Computing for the sustainability and ensuring the energy efficiency by energy efficient techniques. In present scenario, various energy efficient algorithms have been proposed by the researchers which reduce the energy efficiency of cloud environment. But all these algorithms have been evaluated using the same experimental environment which gives the related results and it becomes difficult for the researchers to choose the best algorithm among them. So to provide the better understanding on the various algorithms and helps researchers for choosing the best suitable algorithm, we have compared the various state of art energy efficient algorithm in more detailed way considering various prospective. Along with the comparison, we have also done studied the overview of investigated algorithm. Finally, we have the literature survey of various others related to different parameters and techniques. From the same literature survey, we have come to the conclusion of each author’s statement.
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ALEXANDER, E. B. « BULK DENSITY EQUATIONS FOR SOUTHERN ALASKA SOILS ». Canadian Journal of Soil Science 69, no 1 (1 février 1989) : 177–80. http://dx.doi.org/10.4141/cjss89-017.

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A close relationship between organic-carbon content and bulk density was utilized to develop equations for predicting the bulk densities of inorganic soils around the Gulf of Alaska; for example[Formula: see text]where Db is the bulk density (Mg m−3) of fine-earth and OC is the organic carbon content (g kg−1). Adding discrete variables for soil texture (three classes):[Formula: see text]where A is 2.24 for loamy sands, 1.86 for sandy loams, and 1.73 for silt loams. Most of the samples used in developing these equations were from B and C horizons, but they appear to be applicable to other horizons too. They are not valid for (1) horizons with very low organic carbon content (C < 1 g kg−1); (2) organic soils; or (3) disturbed or compacted soils. Coarse fragments (particles > 2 mm) were considered in computing the bulk densities of whole soil horizons, because rock fragments are generally much denser than the bulk fine-earth. Key words: Clod samples, Podzolic soils, Spodosols, organic matter
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Sahare, Shubhangi, et Dr D. V. Rojatkar. « Cloud Computing ». International Journal of Trend in Scientific Research and Development Volume-1, Issue-6 (31 octobre 2017) : 786–89. http://dx.doi.org/10.31142/ijtsrd4685.

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Anjaneyulu, P., et Mr S. Srinivasa Reddy. « Cloud Computing Adoption Approach towards Securing Data in Cloud Computing ». International Journal of Trend in Scientific Research and Development Volume-2, Issue-4 (30 juin 2018) : 390–93. http://dx.doi.org/10.31142/ijtsrd12995.

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Kim, Dong-Ho, Jung-Hoon Lee et Yang-Pyo Park. « A Study of Factors Affecting the Adoption of Cloud Computing ». Journal of Society for e-Business Studies 17, no 1 (28 février 2012) : 111–36. http://dx.doi.org/10.7838/jsebs.2012.17.1.111.

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M, Arun Prasath, et Mrs T. Sathiyabama. « Virtualization in Cloud Computing ». International Journal of Trend in Scientific Research and Development Volume-2, Issue-6 (31 octobre 2018) : 875–77. http://dx.doi.org/10.31142/ijtsrd18665.

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Mathkunti, Nivedita M. « Cloud Computing : Security Issues ». International Journal of Computer and Communication Engineering 3, no 4 (2014) : 259–63. http://dx.doi.org/10.7763/ijcce.2014.v3.332.

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Zhang, Yan. « Web Data Mining Technology on Cloud Computing ». Applied Mechanics and Materials 543-547 (mars 2014) : 3490–93. http://dx.doi.org/10.4028/www.scientific.net/amm.543-547.3490.

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With the rapid development of cloud computing technology, the traditional centralized data mining technology becomes inappropriate for the growing huge amounts of data. Cloud computings Web data mining technology comes into use because it is a reliable and efficient method. This article introduces the meaning, characteristics, and the present situation of cloud computing, analyzes the advantage of Web data mining technology on the basis of the use of cloud computing technology, makes investigations and summaries of the present situation, challenges and problems of the current cloud computing Web data mining technology research, and puts forward the corresponding methods to solve these problems.
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Vachhani, Prof Milan Kantilal, et Dr Kishor H. Atkotiya. « Similarities and Contrast between Grid Computing and Cloud Computing ». Indian Journal of Applied Research 3, no 3 (1 octobre 2011) : 54–56. http://dx.doi.org/10.15373/2249555x/mar2013/19.

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Zhao, Wei, et Hong Tao Zhang. « E-Commerce Recommendation System Based on Cloud Computing ». Advanced Materials Research 926-930 (mai 2014) : 2570–73. http://dx.doi.org/10.4028/www.scientific.net/amr.926-930.2570.

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According to the Present Situations were that there is an urgent demand for large data analysis in Electronic Commerce, by using cloud computings advantage in storing and analyzing mass data, the solution of new project which can analysis data was proposed, based on the cloud computing. Firstly, aiming to the advantages of the cloud computing platform, the novel data-analysis architecture was designed, then the business flow chart by using cloud computing analysis on the architecture. Finally the project is validated by practical application and possesses certain reference meaning in data exchange based on cloud computing.
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Gupta, Pooja. « Cloud Computing- Issues and Challenges ». Indian Journal of Applied Research 4, no 3 (1 octobre 2011) : 100–102. http://dx.doi.org/10.15373/2249555x/mar2014/181.

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Labhade, Chetan Kumar Kashinath. « Cloud Computing Technologies : an Overview ». Journal of Advances and Scholarly Researches in Allied Education 15, no 7 (1 septembre 2018) : 43–48. http://dx.doi.org/10.29070/15/57787.

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Rajan, V. R., et S. Barathi. « Cloud Computing Applications in Libraries ». Indian Journal of Library and Information Science 10, no 3 (2016) : 267–70. http://dx.doi.org/10.21088/ijlis.0973.9548.10316.8.

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Shyam, Gopal K., et Mir Abdul Samim Ansari. « Security Concerns in Cloud Computing ». International Journal of Trend in Scientific Research and Development Volume-2, Issue-5 (31 août 2018) : 2296–301. http://dx.doi.org/10.31142/ijtsrd18306.

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D, Mahalakshmi, et Mrs T. Sathiyabama. « Security Issues in Cloud Computing ». International Journal of Trend in Scientific Research and Development Volume-2, Issue-6 (31 octobre 2018) : 881–83. http://dx.doi.org/10.31142/ijtsrd18674.

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Sumit, Sumit, Ms Kirti Bhatia et Ms Shalini Bhadola. « Cloud Computing using Mobile Phone ». International Journal of Trend in Scientific Research and Development Volume-3, Issue-3 (30 avril 2019) : 995–1000. http://dx.doi.org/10.31142/ijtsrd23145.

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Dutta, Sreejit. « Security Issues in Cloud Computing ». International journal of Emerging Trends in Science and Technology 04, no 11 (20 novembre 2016) : 4747–52. http://dx.doi.org/10.18535/ijetst/v3i11.04.

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Charles, P. Joseph. « Security Issues in Cloud Computing ». International journal of Emerging Trends in Science and Technology 05, no 06 (16 juin 2017) : 5253–56. http://dx.doi.org/10.18535/ijetst/v4i6.05.

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Jaskulski, Andrzej. « Cloud Computing in engineering practice ». Mechanik, no 5-6 (mai 2015) : 478–80. http://dx.doi.org/10.17814/mechanik.2015.5-6.207.

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Sabanayasmin, J., Dr S. Periyasamy et Dr K. Balamurugan. « Achieving Security for Cloud Computing ». Bonfring International Journal of Networking Technologies and Applications 6, no 2 (29 novembre 2019) : 01–04. http://dx.doi.org/10.9756/bijnta.9037.

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Krok, Ewa. « Cloud computing in management ». Zeszyty Naukowe Uniwersytetu Szczecińskiego. Studia Informatica 39 (2016) : 61–72. http://dx.doi.org/10.18276/si.2016.39-06.

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Nwobodo, Ikechukwu. « Cloud Computing : A Detailed Relationship to Grid and Cluster Computing ». International Journal of Future Computer and Communication 4, no 2 (avril 2015) : 82–87. http://dx.doi.org/10.7763/ijfcc.2015.v4.361.

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Das, Sayantan, Madhurima Mondal et Soumen Swarnakar. « A REVIEW ON CLOUD LOAD BALANCING TECHNIQUES ». International Journal of Advanced Research 10, no 07 (31 juillet 2022) : 1102–9. http://dx.doi.org/10.21474/ijar01/15135.

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Cloud computing simply means storing & accessing data and programs over the internet instead of your computers hard drive. The cloud is just a metaphor for the internet. An example of Cloud Computings process could also be Googles Gmail. Cloud computing is highly efficient, productive, safe & secure. Cloud computing consists of two terms One is Cloud which is a useful feature of computer technology to perform appropriate tasks. Computing may include computer hardware and software but must involve some form of a computer system. It is a type of operation of a computer that is fully dependent on exchanging computing resources rather than having local servers or personal devices to handle the appeal. Cloud refers to a public or semi-public space on transmission lines that exists between the endpoints of a transmission. Data that is transmitted across a WAN enters the network from one endpoint using a standard protocol.
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Zhang, Yi, et Yi Min Su. « Research on Resource Scheduling Algorithm in Cloud Computing Data Center ». Advanced Materials Research 926-930 (mai 2014) : 2050–53. http://dx.doi.org/10.4028/www.scientific.net/amr.926-930.2050.

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In recent years, with the rapid development of Internet and virtualization technology, cloud computing, which providing users with on-demand services, has become a research hotspot. Under the environment of cloud computing, the datacenter, consisted by hardware and software, is a loosely coupled resource sharing architecture. The existing cloud computing's inadequacies are as following three aspects: 1. For lacking of real adequate and effective transaction of global bidirectional-way selection, the revenue of most of cloud resource provider is too low. 2. Since not fully considering the scheduling of multi-dimensional cloud resources, existing cloud computing's utilization for multi-dimensional cloud resource is too low. 3. Because existing cloud datacenter does not fully consider the energy consumption of communication between the cloud tasks, its energy consumption is too high. Resource scheduling is a major research direction of cloud computing. First, we make a in-depth investigation and analysis of the research status of cloud computing resource scheduling, and then focus on resource scheduling method to reduce the energy consumption of cloud computing data center. Finally we set an important future research direction of cloud computing resource management research in order to provide a useful reference for cloud computing research.
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Li, Bo. « Application of Cloud Computing in Walling Management ». Advanced Materials Research 756-759 (septembre 2013) : 1840–44. http://dx.doi.org/10.4028/www.scientific.net/amr.756-759.1840.

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Facing the current inadequacy of informatization in walling management, this paper focuses on the design to use cloud computings reliability, secure data storage, convenient web services and strong capability of calculation. In addition, this paper sets up a model based on cloud-computing for walling management in governments. Firstly, the paper briefly introduces cloud computing, and then analyzes the advantage of walling management platform. Moreover, this paper points out the key issues should be solved. It will bring the positive effect of walling management informatization to government of China.
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CH, Bilal Hussain. « Cloud Intrusion and Autonomic Management in Autonomic Cloud Computing ». International Journal of Trend in Scientific Research and Development Volume-2, Issue-6 (31 octobre 2018) : 28–32. http://dx.doi.org/10.31142/ijtsrd18378.

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Yupeng, Tuo, Xu Jie, Xu Zhikai et Ye Jianwei. « Job Security in the Cloud Computing ». International Journal of Future Computer and Communication 4, no 1 (février 2015) : 59–62. http://dx.doi.org/10.7763/ijfcc.2015.v4.356.

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Sridevi, Sridevi. « Benefits of IPV6 in cloud Computing ». International Journal of Scientific Research 2, no 6 (1 juin 2012) : 119–21. http://dx.doi.org/10.15373/22778179/june2013/38.

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Singla, Loveneesh, et Sahil Vashist. « Efficient Workload Management in Cloud Computing ». International Journal of Scientific Research 3, no 5 (1 juin 2012) : 154–57. http://dx.doi.org/10.15373/22778179/may2014/47.

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Nozdrina, L. « INNOVATIVE CLOUD COMPUTING : CHALLENGES FOR EDUCATION ». Information Technologies in Education 1, no 38 (mars 2019) : 19–50. http://dx.doi.org/10.14308/ite000691.

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K. Palanisamy, K. Palanisamy. « TPA Added Service in Cloud Computing ». Indian Journal of Applied Research 3, no 11 (1 octobre 2011) : 99–102. http://dx.doi.org/10.15373/2249555x/nov2013/32.

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Atrey, Ankita, Nikita Jain et N. Ch S. N. Iyengar. « A Study on Green Cloud Computing ». International Journal of Grid and Distributed Computing 6, no 6 (31 décembre 2013) : 93–102. http://dx.doi.org/10.14257/ijgdc.2013.6.6.08.

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Beri, Rydhm, et Veerawali Behal. « Cloud Computing : A Survey on Cloud Computing ». International Journal of Computer Applications 111, no 16 (18 février 2015) : 19–22. http://dx.doi.org/10.5120/19622-1385.

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Zadworny, Waldemar, et Marcin Kłak. « Charakterystyka i obszary zastosowań chmur obliczeniowych Cloud Computing w nowoczesnym modelowaniu biznesu ». Współczesne Problemy Zarządzania 7, no 2 (15) (31 décembre 2019) : 93–106. http://dx.doi.org/10.52934/wpz.40.

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Rozwój Cloud Computingu to z całą pewnością najsilniejszy trend na rynku usług IT i rewolucja w technologii i outsourcingu usług. Korzyści wynikające z szerokiego zakresu zastosowania chmur obliczeniowych potwierdzają, iż staje się ona technologią kluczową dla przedsiębiorstw, mającą ogromny wpływ na tworzenie nowych modeli biznesowych i przemianę organizacyjną firm. Cloud Computing daje swoim użytkownikom ogromne możliwości szczególnie w zakresie skalowalności oferowanych usług oraz dużej elastyczności w ich dopasowaniu do indywidualnych potrzeb. Celem niniejszego artykułu jest przedstawienie problematyki zastosowania technologii chmury obliczeniowej jako stymulatora tworzenia nowych modeli biznesu w przedsiębiorstwach. W artykule przedstawiono model przetwarzania w chmurze obliczeniowej (Cloud Computing) oraz wskazano obszary jego zastosowania w przedsiębiorstwach. Omówiono również korzyści i bariery oraz ryzyko związane z implementacją Cloud Computing.
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B. Patel, Prof Hiral, et Prof Nirali Kansara. « Cloud Computing Deployment Models : A Comparative Study ». International Journal of Innovative Research in Computer Science & ; Technology 9, no 2 (mars 2021) : 45–50. http://dx.doi.org/10.21276/ijircst.2021.9.2.8.

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Aiyer, Viswanath, Rohit Bhutkar, Sagar Anvekar et Dinesh Chavan. « Guaranteeing Data Storage Security in Cloud Computing ». International Journal of Engineering Research 4, no 5 (1 mai 2015) : 231–34. http://dx.doi.org/10.17950/ijer/v4s5/504.

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Panhwar, Muhammad Aamir. « Workflow-based Approach in Cloud Computing Environment ». Journal of Advanced Research in Dynamical and Control Systems 12, no 7 (20 juillet 2020) : 815–22. http://dx.doi.org/10.5373/jardcs/v12i7/20202066.

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Yen Huang, Jia. « Feature Selection for Cloud Computing Patents Classification ». International Journal of Social Science and Humanity 6, no 7 (juillet 2016) : 541–46. http://dx.doi.org/10.7763/ijssh.2016.v6.707.

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Lakshmi, V. Naga, et Shameena Begum. « Security Issues & ; Controls in Cloud Computing ». Indian Journal of Applied Research 1, no 5 (1 octobre 2011) : 38–40. http://dx.doi.org/10.15373/2249555x/feb2012/15.

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Pažun, Brankica. « Cloud Computing influence on modern business ». Serbian Journal of Engineering Management 3, no 2 (2018) : 60–66. http://dx.doi.org/10.5937/sjem1802060p.

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Esbel, Ousama, et Ng Ah Ngan Mike Christian. « Hardware/Software Verification Process through Cloud Computing ». Lecture Notes on Software Engineering 4, no 2 (mai 2016) : 123–28. http://dx.doi.org/10.7763/lnse.2016.v4.236.

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Jain, Chakrawati, et Prof Avinash Sharma. « Retrieval Process in Cloud Computing : An Assessment ». International Journal of Trend in Scientific Research and Development Volume-2, Issue-4 (30 juin 2018) : 1706–9. http://dx.doi.org/10.31142/ijtsrd14474.

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Bankar, Suyog. « Cloud Computing Using Amazon Web Services AWS ». International Journal of Trend in Scientific Research and Development Volume-2, Issue-4 (30 juin 2018) : 2156–57. http://dx.doi.org/10.31142/ijtsrd14583.

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S, Swetha, et Dr S. Venkatesh kumar. « Fault Detection and Prediction in Cloud Computing ». International Journal of Trend in Scientific Research and Development Volume-2, Issue-6 (31 octobre 2018) : 878–80. http://dx.doi.org/10.31142/ijtsrd18647.

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Malviya, Deepak Kumar, et Umesh Kumar Lilhore. « Survey on Security Threats in Cloud Computing ». International Journal of Trend in Scientific Research and Development Volume-3, Issue-1 (31 décembre 2018) : 1222–26. http://dx.doi.org/10.31142/ijtsrd19172.

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T, Vichare Dattatray. « Cloud Computing in Academic Libraries : A Review ». International Journal of Trend in Scientific Research and Development Special Issue, Special Issue-FIIIIPM2019 (20 mars 2019) : 201–2. http://dx.doi.org/10.31142/ijtsrd23101.

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Begum, Shameena, V. Ratna Vasuki et K. V. V. Srinivas K.V.V.Srinivas. « Data Security and Protection in Cloud Computing ». International Journal of Scientific Research 1, no 2 (1 juin 2012) : 31–34. http://dx.doi.org/10.15373/22778179/jul2012/9.

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Patel, Farheen. « Comparative Study of Grid and Cloud Computing ». International Journal of Scientific Research 3, no 7 (1 juin 2012) : 80–81. http://dx.doi.org/10.15373/22778179/july2014/28.

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