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http://hdl.handle.net/10603/454007
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DC Field | Value | Language |
---|---|---|
dc.coverage.spatial | A new framework for optimizing the big data over scattered cloud information using cluster hadoop | |
dc.date.accessioned | 2023-01-30T04:42:51Z | - |
dc.date.available | 2023-01-30T04:42:51Z | - |
dc.identifier.uri | http://hdl.handle.net/10603/454007 | - |
dc.description.abstract | Big Data (BD) has its suggestion in various fields. In the medical care newlinefield, accomplishing the riches of wellbeing information, coordinating, newlinesharing alongside benefiting data are the fundamental assignments, which in newlinethe end request appropriated framework. By and by, privacy alongside the newlinewellbeing of the data is the subject of arrangement, as data is important to be newlinegotten to starting at a range of areas in the disseminated framework. Since big newlinedata contained the subjects individual subtleties and furthermore their newlinewellbeing history, it is critical for the database to be secured as of hacking, newlinedigital burglary, and phishing, where the taken data can well be sold for a newlinegigantic total. To vanquish such challenges, a solid system is proposed for newlinegetting to the BD over the dispersed cloud information focus. newlineThe main contribution is to design the schemes for the upgrades of newlinelead of the aide decline scheme when it is used for the iterative dealing with. newlineThe iterative dealing with has commonly used the spot. The information is newlinerestored ramblingly to imitate irrelevant acclimations to the data information newlineset. For restricting the deferments in reanalysis of unaltered information, newlinepronounces the schemes, which unequivocally evaluates the information newlineexactly when the information is changed. It fuses sprout screening. The newlineblossom screening is a space-effective information structure, which could newlinehave a careful possibility of affirmation whether or not the information is newlinechanged. The standard structures process the comprehensive information in a newlineunimportant degree or none of the information is changed. This is the time newlineoppressive, and it chugs the enormous number of CPU clock cycles. For newlinerestricting the usage of CPU clock cycles, the framework is arranged so the newlinescheme of execution uses blossom screening helps updating the direct of the newlineframework by practically 17% as surveyed to the conventional system. newline | |
dc.format.extent | xxi,196p. | |
dc.language | English | |
dc.relation | p.178-195 | |
dc.rights | university | |
dc.title | A new framework for optimizing the big data over scattered cloud information using cluster hadoop | |
dc.title.alternative | ||
dc.creator.researcher | Arunkumar K | |
dc.subject.keyword | Blooms Screening | |
dc.subject.keyword | Iterative Processing | |
dc.subject.keyword | Space Effective | |
dc.description.note | ||
dc.contributor.guide | Karthikeyan N | |
dc.publisher.place | Chennai | |
dc.publisher.university | Anna University | |
dc.publisher.institution | Faculty of Information and Communication Engineering | |
dc.date.registered | ||
dc.date.completed | 2022 | |
dc.date.awarded | 2022 | |
dc.format.dimensions | 21cm | |
dc.format.accompanyingmaterial | None | |
dc.source.university | University | |
dc.type.degree | Ph.D. | |
Appears in Departments: | Faculty of Information and Communication Engineering |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
01_title.pdf | Attached File | 31.42 kB | Adobe PDF | View/Open |
02_prelim pages.pdf | 1.95 MB | Adobe PDF | View/Open | |
03_content.pdf | 490.5 kB | Adobe PDF | View/Open | |
04_abstract.pdf | 15.06 kB | Adobe PDF | View/Open | |
05_chapter 1.pdf | 657.26 kB | Adobe PDF | View/Open | |
06_chapter 2.pdf | 270.57 kB | Adobe PDF | View/Open | |
07_chapter 3.pdf | 568.56 kB | Adobe PDF | View/Open | |
08_chapter 4.pdf | 512.8 kB | Adobe PDF | View/Open | |
09_chapter 5.pdf | 334.35 kB | Adobe PDF | View/Open | |
10_chapter 6.pdf | 477.93 kB | Adobe PDF | View/Open | |
11_annexures.pdf | 146.52 kB | Adobe PDF | View/Open | |
80_recommendation.pdf | 77.43 kB | Adobe PDF | View/Open |
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