Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/253278
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dc.coverage.spatialOptimized virtual machine selection And scheduling techniques for Resource allocation in cloud
dc.date.accessioned2019-08-20T10:42:06Z-
dc.date.available2019-08-20T10:42:06Z-
dc.identifier.urihttp://hdl.handle.net/10603/253278-
dc.description.abstractSplicing become an inevitable process in the production of knotless newlineyarn in the staple fibre spinning process. Though there are different splicing newlinemethods, the pneumatic splicing is the widely used method to join the yarn newlinewithout a knot using compressed air. The function of the Pneumatic Splicer newlineis to untwist and retwist the overlapped yarn ends. Untwisting and retwisting newlineare the sequential operations in any pneumatic splicer and are independent to newlineeach other. It is well known fact that the optimum untwisting followed by newlinethe proper retwisting yields better Retained Splice Strength (RSS) and newlineRetained Splice Appearance (RSA). In addition to the yarn and fibre newlineparameters, air pressure, untwisting airflow and untwisting time are the newlinesplicer parameters in untwisting. Likewise, overlapping length, air pressure, newlineretwisting airflow and retwisting time are the retwisting splicer parameters. newlineIn order to study the influence and interactive effect of all splicer newlinevariables, they are made it as two groups based on their functionality namely newlineuntwisting and retwisting variables to study them separately. The studies of newlineinfluencing splicer parameters had been carried out under three-factor threelevel newlineBox-Behnken design on three different combed cotton yarn counts newlinenamely Ne 20/1, Ne 40/1 and Ne 60/1 produced by Ring Spinning. newlineInteractive effects of the parameters had been analysed through contour plots newlineand optimization analysis had been done using a statistical software called newlineMinitab. Based on the observations and outcomes of the studies of newlineinfluencing splicer parameters, a new improved splicer has been designed. newlineThe new design has been verified using Computational Fluid Dynamics newline(CFD) with respect to airflow pattern, airflow balancing between nozzles and newlinethe behaviour of yarn under the influence of compressed air. newline newline
dc.format.extentxxii, 180p.
dc.languageEnglish
dc.relationp.171-179
dc.rightsuniversity
dc.titleOptimized virtual machine selection and scheduling techniques for resource allocation in cloud
dc.title.alternative
dc.creator.researcherDhanya D
dc.subject.keywordcloud
dc.subject.keywordEngineering and Technology,Computer Science,Computer Science Information Systems
dc.subject.keywordvirtual machine
dc.description.note
dc.contributor.guideArivudainambi D
dc.publisher.placeChennai
dc.publisher.universityAnna University
dc.publisher.institutionFaculty of Information and Communication Engineering
dc.date.registeredn.d.
dc.date.completed2018
dc.date.awarded30/12/2018
dc.format.dimensions21cm
dc.format.accompanyingmaterialNone
dc.source.universityUniversity
dc.type.degreePh.D.
Appears in Departments:Faculty of Information and Communication Engineering

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01_title.pdfAttached File24.79 kBAdobe PDFView/Open
02_certificates.pdf542.47 kBAdobe PDFView/Open
03_abstract.pdf125.61 kBAdobe PDFView/Open
04_acknowledgment.pdf244.55 kBAdobe PDFView/Open
05_contents.pdf247.19 kBAdobe PDFView/Open
06_chapter1.pdf246.73 kBAdobe PDFView/Open
07_chapter2.pdf835.25 kBAdobe PDFView/Open
08_chapter3.pdf385.32 kBAdobe PDFView/Open
09_chapter4.pdf869.63 kBAdobe PDFView/Open
10_chapter5.pdf726.17 kBAdobe PDFView/Open
11_chapter6.pdf1 MBAdobe PDFView/Open
12_conclusion.pdf132.44 kBAdobe PDFView/Open
13_references.pdf163.06 kBAdobe PDFView/Open
14_publications.pdf14.52 kBAdobe PDFView/Open


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