Cloud computing, emerging computing technology of new age

https://doi.org/10.53730/ijhs.v6nS1.7909

Authors

  • Bibhu Kalyan Mishra Assistant Professor, Department Of Computer Science, FOS, Controller of Examination, Sri Sri University
  • Ravi Hosur Assistant Professor, BLDEA’s V.P. Dr.P.G. Halakatti College of Engineering & Technology, Vijayapur, Karnataka (INDIA)
  • Priya Nandihal Associate professor, Department of AI/ML, Global Academy of Technology
  • Piyush Kumar Pareek Professor (CSE), Head (IPR Cell), Nitte Meenakshi Institute of Technology, Bengaluru

Keywords:

Cloud computing, service providers, technology

Abstract

Cloud computing is seen as an emerging technology highly utilized by different industries and businesses to optimize their processes conservation resources. Its popularity opens various loopholes and barriers, which are useful, especially when improving its overall performance. This study is conducted cloud computing further technological improvements suggested. This technology has been attractive developers and end-users because it provides both parties with an increased revenue opportunity. Entailed for and maintenance of physical hosting has been drastically eliminated from them for the end-user. Also true for the service providers since the increasing number integrating cloud computing to their systems increased revenue. However, the technology is facing challenges with security and privacy, workflow optimization, provisioning, cloud interoperability, data management, need or architecture modifications. These barriers inhibit cloud computing from achieving their maximum potential in terms of Service (QoS) and cost-effectiveness. Nevertheless, metrics monitored and measurements be done cloud computing's overall performance for of both the operation and economic aspects future studies is good & interesting.

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References

Abrishami, S., & Naghibzadeh, M. (2012). Deadline-constrained workflow scheduling in software as a service Cloud. Scientia Iranica, 19(3), 680-689.

Armbrust, M., Fox, A., Griffith, R., Joseph, A. D., Katz, R., Konwinski, A., Zaharia, M. (2010). A view od cloud computing. Communications of the ACM, 53(4), 50-58.

Arora, P., Wadhawan, R., & Ahuja, E. (2012). Cloud Computing Security Issues in Infrastructure as a Service. International Journal of Advanced Research in Computer Science and Software Engineering, 2(1).

Bhardwaj, S., Jain, L., & Jain, S. (2010). Cloud computing: A study of infrastructure as a service (IaaS).

International Journal of Engineering and Information Technology, 2(1), 60-63.

Espadas, J., Molina, A., Jiménez, G., Molina, M., Ramirez, R., & Concha, D. (2013). A tenant-based resource allocation model for scaling Software-as-a-Service applications over cloud computing infrastructures. Future Generation Computer Systems, 273-286.

Frankenfield, J. (2020, July 28). Cloud computing. Retrieved from Investopedia: https://www.investopedia.com/terms/c/cloud-computing.asp

Gartner. (2020). Architecture. Retrieved from Gartner: https://www.gartner.com/en/information- technology/glossary/architecture

Grobauer, B., Walloschek, T., & Stöcker, E. (2011). Understanding Cloud Computing Vulnerabilities. [9]. Jansen, W., & Grance, T. (2011). Guidelines on Security and Privacy in Public Cloud Computing.

Gaithersburg, MD: National Institute of Standards and Technology.

Kundra, V. (2010). State of Public Sector Cloud Computing. CIO Council.

Lee, J., Lee, J., Cheun, D., & Kim, S. (2009). A Quality Model for Evaluating Software-as-a-Service in Cloud Computing. 2009 Seventh ACIS International Conference on Software Engineering Research, Management, and Applications, (pp. 261-266).

Lewis, G. (2010). Basics About Cloud Computing. Software Engineering Institute, 1-7.

Mell, P., & Grance, T. (2011). The NIST Definition of Cloud Computing. Gaithersburg, MD: National Institute of Standards and Technology.

Strowd, H. D., & Lewis, G. A. (2010). T-Check in System-of-Systems Technologies: Cloud Computing. Software Engineering Institute, 1-43.

Thomas, D. (2008). Enabling Application Agility - Software as A Service, Cloud Computing and Dynamic Languages. Journal of Object Technology, 7(4), 29-32.

Vouk, M. A. (2008). Cloud Computing – Issues, Research and Implementations. Journal of Computing and Information Technology, 235-246.

Chandramma, P. Kumar Pareek, K. Swathi and P. Shetteppanavar, "An efficient machine translation model for Dravidian language," 2017 2nd IEEE International Conference on Recent Trends in Electronics, Information & Communication Technology (RTEICT), 2017, pp. 2101-2105, doi: 10.1109/RTEICT.2017.8256970.

G. B. Shettar, A. D. Devangavi and P. k. Pareek, "A Novel Architecture for Optimum Association of Cellular Phone Users to Multi Access Edge Computing (MAEC)," 2021 IEEE Madras Section Conference (MASCON), 2021, pp. 1-5, doi: 10.1109/MASCON51689.2021.9563261.

S. G. Gollagi, R. Srividya, G. Santhosh Kumar and P. K. Pareek, "A Novel Image Encryption Optimization Technique," 2021 International Conference on Forensics, Analytics, Big Data, Security (FABS), 2021, pp. 1-6, doi: 10.1109/FABS52071.2021

S. G. Gollagi, R. Srividya, G. Santhosh Kumar and P. K. Pareek, "A New Method of Secure Image Encryption by Using Enhanced RSA Algorithm," 2021 International Conference on Forensics, Analytics, Big Data, Security (FABS), 2021, pp. 1-5, doi: 10.1109/FABS52071.2021.9702550.

Chethana Sridhar, Piyush Kumar Pareek, R. Kalidoss, Sajjad Shaukat Jamal, Prashant Kumar Shukla, Stephen Jeswinde Nuagah, "Optimal Medical Image Size Reduction Model Creation Using Recurrent Neural Network and GenPSOWVQ", Journal of Healthcare Engineering, vol. 2022, Article ID 2354866, 8 pages, 2022. https://doi.org/10.1155/2022/2354866

Piyush Kumar Pareek, Chethana Sridhar, R. Kalidoss, Muhammad Aslam, Manish Maheshwari, Prashant Kumar Shukla, Stephen Jeswinde Nuagah, "IntOPMICM: Intelligent Medical Image Size Reduction Model", Journal of Healthcare Engineering, vol. 2022, Article ID 5171016, 11 pages, 2022. https://doi.org/10.1155/2022/5171016

M. Sathya, M. Jeyaselvi, Shubham Joshi, Ekta Pandey, Piyush Kumar Pareek, Sajjad Shaukat Jamal, Vinay Kumar, Henry Kwame Atiglah, "Cancer Categorization Using Genetic Algorithm to Identify Biomarker Genes", Journal of Healthcare Engineering, vol. 2022, Article ID 5821938, 12 pages, 2022. https://doi.org/10.1155/2022/5821938

Aditya Pai H., Khalid K. Almuzaini, Liaqat Ali, Ashir Javeed, Bhasker Pant, Piyush Kumar Pareek, Reynah Akwafo, "Delay-Driven Opportunistic Routing with Multichannel Cooperative Neighbor Discovery for Industry 4.0 Wireless Networks Based on Power and Load Awareness", Wireless Communications and Mobile Computing, vol. 2022, Article ID 5256133, 12 pages, 2022. https://doi.org/10.1155/2022/5256133

Khanna, A., Selvaraj, P., Gupta, D., Sheikh, T. H., Pareek, P. K., & Shankar, V. (2021). Internet of things and deep learning enabled healthcare disease diagnosis using biomedical electrocardiogram signals. Expert Systems, e12864. https://doi.org/10.1111/exsy.12864

Tommy, R., & Mohan, S. (2011, November). An approach for fully automating perspective images based on symmetry and line intersection. In 2011 International Conference on Image Information Processing (pp. 1-5). IEEE.

S. Mohan and Linda Mary Mani, "Construction of 3D models from single view images: A survey based on various approaches," 2011 International Conference on Emerging Trends in Electrical and Computer Technology, 2011, pp. 557-562, doi: 10.1109/ICETECT.2011.5760180.

V. Vani and S. Mohan. 2010. Interactive 3D class room: a framework for Web3D using J3D and JMF. In Proceedings of the 1st Amrita ACM-W Celebration on Women in Computing in India (A2CWiC '10). Association for Computing Machinery, New York, NY, USA, Article 24, 1–7. https://doi.org/10.1145/1858378.1858402

Mohan, S., Avinash, N., & Murali, S. (2008). Rectification of perspective distortion using camera parameters—a perspective geometry based approach. ICGST-GVIP J, 8(1), 1-7.

Rahman, W. Saleem and V. V. Iyer, "Driving Behavior Profiling and Prediction in KSA using Smart Phone Sensors and MLAs," 2019 IEEE Jordan International Joint Conference on Electrical Engineering and Information Technology (JEEIT), 2019, pp. 34-39, doi: 10.1109/JEEIT.2019.8717533

Vani, V., Pradeep Kumar, R., Mohan, S. (2013). Profiling User Interactions of 3D Complex Meshes for Predictive Streaming and Rendering. In: S, M., Kumar, S. (eds) Proceedings of the Fourth International Conference on Signal and Image Processing 2012 (ICSIP 2012). Lecture Notes in Electrical Engineering, vol 221. Springer, India. https://doi.org/10.1007/978-81-322-0997-3_41

Vani, V., R. Pradeep Kumar, and S. Mohan. "Predictive modeling of user interaction patterns for 3D mesh streaming." International Journal of Information Technology and Web Engineering (IJITWE) 7.4 (2012): 1-19.

Vani, V. "New approaches for 3D streaming and rendering based on predictive modeling." (2014).

Published

25-05-2022

How to Cite

Mishra, B. K., Hosur, R., Nandihal, P., & Pareek, P. K. (2022). Cloud computing, emerging computing technology of new age. International Journal of Health Sciences, 6(S1), 10997–11012. https://doi.org/10.53730/ijhs.v6nS1.7909

Issue

Section

Peer Review Articles

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