Please use this identifier to cite or link to this item:
http://hdl.handle.net/10603/430893
Title: | An empirical study on optimal Resource scheduling techniques for Cloud infrastructure services |
Researcher: | Peer mohamed ziyath S |
Guide(s): | Senthilkumar S |
Keywords: | Engineering and Technology Computer Science Computer Science Software Engineering Cloud infrastructure optimal Resource |
University: | Anna University |
Completed Date: | 2021 |
Abstract: | Cloud computing is the provider of computing services ranging from applications to storage, infrastructure and processing power usually over the internet. In present computing world, cloud computing is an emerging concept in distributed computing that provides computing facilities, development platform, and applications as services. Cloud computing means IT outsourcing ; others describes the cloud computing as any computing service provided over the internet or a similar network. newlineIt is better for the enterprises to access anything from applications to storage from a cloud service provider on rent than possessing their own computing infrastructure or data centres. So that enterprises can stay away from the direct cost and difficulty of maintaining their own IT infrastructure, and the enterprises simply use the services and pay rent for what they use. newline |
Pagination: | xiv,124p. |
URI: | http://hdl.handle.net/10603/430893 |
Appears in Departments: | Faculty of Information and Communication Engineering |
Files in This Item:
File | Description | Size | Format | |
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01_title.pdf | Attached File | 25.25 kB | Adobe PDF | View/Open |
02_prelim pages.pdf | 497.86 kB | Adobe PDF | View/Open | |
03_content.pdf | 379.56 kB | Adobe PDF | View/Open | |
04_abstract.pdf | 286.03 kB | Adobe PDF | View/Open | |
05_chapter 1.pdf | 877.97 kB | Adobe PDF | View/Open | |
06_chapter 2.pdf | 497.45 kB | Adobe PDF | View/Open | |
07_chapter 3.pdf | 931.53 kB | Adobe PDF | View/Open | |
08_chapter 4.pdf | 865.07 kB | Adobe PDF | View/Open | |
09_chapter 5.pdf | 736.77 kB | Adobe PDF | View/Open | |
10_annexures.pdf | 187.03 kB | Adobe PDF | View/Open | |
80_recommendation.pdf | 158.44 kB | Adobe PDF | View/Open |
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