Shodhganga : a reservoir of Indian theses @ INFLIBNET
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Please use this identifier to cite or link to this item:
http://hdl.handle.net/10603/350199
| Title: | Machine Learning Techniques To Enhance The Performance Of Cloud Based Applications |
| Researcher: | Kumar, Sunil |
| Guide(s): | Karthikeyan, S And Singh, M. K |
| Keywords: | Computer programming Computer Science Computer Science Artificial Intelligence Engineering and Technology Machine-tools--Numerical control--Programming Software compatibility Systems programming (Computer science) |
| University: | Banaras Hindu University |
| Completed Date: | 2019 |
| Abstract: | The thesis is focused on Machine Learning Techniques to Enhance the Performance of Cloud Based Applications to solve the problems occurring in Cloud-based web services recommendation and Efficient Resource Utilization and Allocation. newlineThe First Chapter deals with the introduction of web services and their QoS parameters. Based on the web services and its QoS parameters how its assessments and recommendation is being carried out has been discussed in the later part of the chapter. Later in the chapter, we have described the use of statistical machine learning and cloud simulator in carrying out the experiments newline |
| Pagination: | |
| URI: | http://hdl.handle.net/10603/350199 |
| Appears in Departments: | Department of Computer Science |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| 01_title.pdf | Attached File | 148.63 kB | Adobe PDF | View/Open |
| 02_certificate.pdf | 214.28 kB | Adobe PDF | View/Open | |
| 03_content.pdf | 68.22 kB | Adobe PDF | View/Open | |
| 04_abstract.pdf | 131.56 kB | Adobe PDF | View/Open | |
| 05_acknowledgement.pdf | 91.04 kB | Adobe PDF | View/Open | |
| 06_abbreviations.pdf | 93.23 kB | Adobe PDF | View/Open | |
| 07_list of tables.pdf | 114.18 kB | Adobe PDF | View/Open | |
| 08_list of figures.pdf | 109.6 kB | Adobe PDF | View/Open | |
| 09_preface.pdf | 139.39 kB | Adobe PDF | View/Open | |
| 10_glossary.pdf | 101.46 kB | Adobe PDF | View/Open | |
| 11_chapter1.pdf | 400.49 kB | Adobe PDF | View/Open | |
| 12_chapter2.pdf | 144.3 kB | Adobe PDF | View/Open | |
| 13_chapter3.pdf | 612.61 kB | Adobe PDF | View/Open | |
| 14_chapter4.pdf | 529.88 kB | Adobe PDF | View/Open | |
| 15_chapter5.pdf | 461.72 kB | Adobe PDF | View/Open | |
| 16_chapter6.pdf | 171.83 kB | Adobe PDF | View/Open | |
| 17_bibliography.pdf | 300.38 kB | Adobe PDF | View/Open | |
| 18_appendices.pdf | 1.09 MB | Adobe PDF | View/Open | |
| 80_recommendation.pdf | 320.57 kB | Adobe PDF | View/Open |
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