Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/454423
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dc.coverage.spatialMulti biometric key based clustering approaches for secured transmission in wireless sensor networks
dc.date.accessioned2023-01-30T06:28:25Z-
dc.date.available2023-01-30T06:28:25Z-
dc.identifier.urihttp://hdl.handle.net/10603/454423-
dc.description.abstractCloud Computing has emerged as a successful technological newlineparadigm by providing successful and on demand provisioning of resources newlinesatisfying a large number of customers. This provisioning is done with the newlinedeployment of very large data centers with multiple servers taking advantage newlineof the virtualization technology. These data centers deployed with multiple newlineserver leads to high energy consumption, communication and operating costs. newlineThe design of a virtualized data center requires efficient allocation of resources newlineto meet the customer requirements. As the services are offered through Virtual newlineMachines (VMs), efficient management of the Virtual Machines is the key to newlinethe success of the Cloud Computing technological paradigm. newlineThe quality and the resiliency of the services offered by any Cloud newlineService Provider (CSP) has gained its popularity and thus play a vital role in newlinethe current situation. With the advent of Software Defined Network (SDN) newlinetechnologies, great improvements are achieved in handling services offered by newlinethe cloud service providers as well as in the underlying cloud infrastructure. At newlinethe time of offering the services by the cloud computing environment, the newlineperformance parameters such as the service delay and jitter can be reduced by newlineallocating sufficient bandwidth. This is possible with the knowledge of the newlineunderlying cloud infrastructure. SDN technology has a centralized control over newlinethe underlying cloud infrastructure and thus greatly improves the efficiency of newlineservices through proper management of VMs. newline
dc.format.extentxv, 115p.
dc.languageEnglish
dc.relationp.103-114
dc.rightsuniversity
dc.titleMulti biometric key based clustering approaches for secured transmission in wireless sensor networks
dc.title.alternative
dc.creator.researcherPadmavathy T
dc.subject.keywordEngineering and Technology
dc.subject.keywordComputer Science
dc.subject.keywordComputer Science Artificial Intelligence
dc.subject.keywordCloud Computing
dc.subject.keywordResource Utilization
dc.subject.keywordBandwidth Allocation
dc.description.note
dc.contributor.guideAnitha R
dc.publisher.placeChennai
dc.publisher.universityAnna University
dc.publisher.institutionFaculty of Information and Communication Engineering
dc.date.registered
dc.date.completed2022
dc.date.awarded2022
dc.format.dimensions21 cm
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 File23.15 kBAdobe PDFView/Open
02_prelim pages.pdf1.87 MBAdobe PDFView/Open
03_content.pdf9.56 kBAdobe PDFView/Open
04_abstract.pdf10.47 kBAdobe PDFView/Open
05_chapter 1.pdf250.27 kBAdobe PDFView/Open
06_chapter 2.pdf80.38 kBAdobe PDFView/Open
07_chapter 3.pdf179.37 kBAdobe PDFView/Open
08_chapter 4.pdf264.58 kBAdobe PDFView/Open
09_chapter 5.pdf243.87 kBAdobe PDFView/Open
10_chapter 6.pdf371.66 kBAdobe PDFView/Open
11_annexures.pdf113.21 kBAdobe PDFView/Open
80_recommendation.pdf76.18 kBAdobe PDFView/Open


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