Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/11159
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dc.coverage.spatialComputer Science Engineeringen_US
dc.date.accessioned2013-09-13T06:02:22Z-
dc.date.available2013-09-13T06:02:22Z-
dc.date.issued2013-09-13-
dc.identifier.urihttp://hdl.handle.net/10603/11159-
dc.description.abstractWith the explosive development of the Information and Communication Technology (ICT) devices, the increase in energy consumption and heat dissipation by these devices poses the problem of an energy crisis and exacerbation of the greenhouse gas problem with global warming. Recently, ongoing focus on the environmental sustainability proliferating in various domains and sustainable computing/green computing has been getting increased attention. The principle aspects of sustainable computing is the reduction of energy requirement for running any computing infrastructure, energy longevity of computing equipment to reduce need for their replacement and ensuring energy consumption within the energy available from the renewable energy sources in the environment. Therefore, these factors are getting more attention and a lot of work has been carried out on “Green computing”, which represents an environmentally responsible way for the above discussed scenario by reducing the energy consumption, and also address to various environmental related issues such as waste management, greenhouse gases etc. An emerging issue of the power dissipation has imposed a very significant question on the system and software design and it is well understood that in the future, there will be a great demand for energy-sustainable software. Therefore, the vision of a sustainable planet and minimization of the energy consumed by computer systems motivated us to find more energy-sustainable computing methods for personal computers. Earlier, the computer systems were extremely inefficient with low computing power and high energy consumption. In newer computer systems, the average power requirements are decreased by almost 50% (nearly 100 watts to 50 watts) and standby power consumption stayed relatively constant at approximately 25 watts. The overall computer system power consumption is increasing however, the standby power consumption is decreasing.en_US
dc.format.extent125p.en_US
dc.languageEnglishen_US
dc.relation251en_US
dc.rightsuniversityen_US
dc.titleEnergy sustainable user centric framework and algorithms to minimize power consumption by personal computersen_US
dc.creator.researcherGupta, Pradeep Kumaren_US
dc.subject.keywordAlgorithmsen_US
dc.subject.keywordCentric Frameworken_US
dc.description.noteReferences p. 102-125en_US
dc.contributor.guideSingh, Ghanshyamen_US
dc.publisher.placeSolanen_US
dc.publisher.universityJaypee University of Information Technology, Solanen_US
dc.publisher.institutionDepartment of Computer Science Engineeringen_US
dc.date.registered8-1-2009en_US
dc.date.completed07/11/2012en_US
dc.date.awarded09/05/2013en_US
dc.format.dimensions--en_US
dc.format.accompanyingmaterialNOneen_US
dc.source.universityUniversityen_US
dc.type.degreePh.D.en_US
Appears in Departments:Department of Computer Science Engineering

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01_title.pdfAttached File77.06 kBAdobe PDFView/Open
02_certificate.pdf82.58 kBAdobe PDFView/Open
03_acknowledgement.pdf147.6 kBAdobe PDFView/Open
04_contents.pdf208.11 kBAdobe PDFView/Open
05_list of tables figures.pdf251.32 kBAdobe PDFView/Open
06_chapter 1.pdf1.95 MBAdobe PDFView/Open
07_chapter 2.pdf2.66 MBAdobe PDFView/Open
08_chapter 3.pdf1.89 MBAdobe PDFView/Open
09_chapter 4.pdf2.13 MBAdobe PDFView/Open
10_chapter 5.pdf1.87 MBAdobe PDFView/Open
11_chapter 6.pdf466.62 kBAdobe PDFView/Open
12_references.pdf2.83 MBAdobe PDFView/Open


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