Please use this identifier to cite or link to this item:
http://hdl.handle.net/10603/457279
Title: | A Study on Operating System Resource Virtualization and Performance Measurements |
Researcher: | Bharath, M B |
Guide(s): | Ashoka, D V |
Keywords: | Computer Science Computer Science Software Engineering Engineering and Technology |
University: | Visvesvaraya Technological University, Belagavi |
Completed Date: | 2018 |
Abstract: | Virtualization in computing world is very fascinating. It started very early in 60 s as a newlinebetter may of using high-end main frame servers. But it did not get the prominence till newlineearly 2000. As the processing power increased, and new hardware support for the virtual newlinemachine started coming in, dramatically changed the perception towards server newlinevirtualization as a technology. As more and more organizations started embracing the newlinetechnology, more research started focusing on the virtualization as technology to solve newlinesome of the today s Information technology world problems. Our effort is toward this newlinepath. Our research try to address four key unanswered questions in this field. Starting newlinewith, mapping different elements in a large virtualized environment by statistically newlineidentifying the co-relation and then try to make sense of those mapping to solve the newlinelogical path between physical to virtual elements relationship. This research also newlineexplored some of the key challenges in collecting performance and failure alerts in newlinedistribute large virtual environment and come up with a new model, which has newlinecentralized repository and dashboard to address some of the reporting need of the newlineadmins. Our effort was is to try using data analytical tools to collect, filter, normalized, newlinegroup and then report on the heterogeneous data in virtualized environment. Our aim is newlineto use some of the existing analytical and statistical tools to solve the virtualized newlineenvironment monitoring, management and performance data collection problems. newline |
Pagination: | 82 |
URI: | http://hdl.handle.net/10603/457279 |
Appears in Departments: | Department of Computer Science and Engineering |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
01_title.pdf | Attached File | 225.73 kB | Adobe PDF | View/Open |
02_prelim pages.pdf | 92.98 kB | Adobe PDF | View/Open | |
03_content.pdf | 434.26 kB | Adobe PDF | View/Open | |
04_abstract.pdf | 41.58 kB | Adobe PDF | View/Open | |
05_chapter 1.pdf | 409.18 kB | Adobe PDF | View/Open | |
06_chapter 2.pdf | 330.71 kB | Adobe PDF | View/Open | |
07_chapter 3.pdf | 878.28 kB | Adobe PDF | View/Open | |
08_chapter 4.pdf | 761.1 kB | Adobe PDF | View/Open | |
09_chapter 5.pdf | 770.59 kB | Adobe PDF | View/Open | |
10_annexures.pdf | 485.81 kB | Adobe PDF | View/Open | |
11_chapter 6.pdf | 246.76 kB | Adobe PDF | View/Open | |
80_recommendation.pdf | 91.08 kB | Adobe PDF | View/Open |
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