Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/453027
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dc.coverage.spatialEnhancement of energy efficiency in Green cloud computing
dc.date.accessioned2023-01-25T07:27:19Z-
dc.date.available2023-01-25T07:27:19Z-
dc.identifier.urihttp://hdl.handle.net/10603/453027-
dc.description.abstractCloud computing is one of the prominent technology in the networking newlinearea. Cloud computing provides various types of services. Vast amounts of newlineresources are accommodated in the cloud data center. The cloud data center is one newlineof the most energy-consuming areas in cloud computing. Energy consumption is newlinecaused by inefficient resource utilization. The efficient Data Center topological newlinearchitecture may improve the efficiency of resource utilization and energy newlineefficiency. newlineThis research work focuses on the improvement of the energy newlineefficiency on the cloud data center servers. This research achieves energy newlineefficiency via proper resource utilization. This thesis contains the following newlineframework. newlineTo implement Energy Efficient Virtual Round Robin (EEVRR) newlinescheduling algorithm with FAT-Tree topological architecture. newlineTo implement Starvation aware scheduling, Shortest Round robin newlineVibrant Quantum (SRVQ) algorithm with DVFS. newlineTo implement Hybrid Artificial Bee Colony (HABC) algorithm with newlineCART flow scheduling. newlineTo implement the Adaptive Cache Replacement (ACR) algorithm to newlineimprove the energy efficiency in cloud storage such as (PACS). newlineThe EEVRR algorithm gives higher priority to the least timeconsuming newlineprocess, so it improves the QoS parameters as well as improves the newlineenergy efficiency. The EEVRR algorithm combined with the Threshold-based newlineload balancing technique; these are incorporated into the FAT-Tree topological newlinearchitecture. The FAT-Tree architecture cut off 50% of the power consumption in newlinecloud data centers. The experiments were carried out into the Cloud Sim newlinesimulator. The EEVRR algorithm provided the best results compared to other newlinealgorithms. newline
dc.format.extentxiv,145p.
dc.languageEnglish
dc.relationp.136-144
dc.rightsuniversity
dc.titleEnhancement of energy efficiency in Green cloud computing
dc.title.alternative
dc.creator.researcherJeevitha, J K
dc.subject.keywordEngineering and Technology
dc.subject.keywordComputer Science
dc.subject.keywordComputer Science Information Systems
dc.subject.keywordcloud computing
dc.subject.keywordload balancing
dc.subject.keywordEnergy efficiency
dc.description.note
dc.contributor.guideAthisha, G
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.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 File198.53 kBAdobe PDFView/Open
02_prelim pages.pdf2.71 MBAdobe PDFView/Open
03_content.pdf334.7 kBAdobe PDFView/Open
04_abstract.pdf301.11 kBAdobe PDFView/Open
05_chapter 1.pdf1.64 MBAdobe PDFView/Open
06_chapter 2.pdf1.12 MBAdobe PDFView/Open
07_chapter 3.pdf3.26 MBAdobe PDFView/Open
08_chapter 4.pdf2.03 MBAdobe PDFView/Open
09_annexures.pdf1.9 MBAdobe PDFView/Open
80_recommendation.pdf190.77 kBAdobe PDFView/Open


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