Please use this identifier to cite or link to this item: http://ir.juit.ac.in:8080/jspui/jspui/handle/123456789/5780
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dc.contributor.authorChauhan, Piyush-
dc.contributor.authorSehgal, Vivek [Guided by]-
dc.date.accessioned2022-08-12T09:57:05Z-
dc.date.available2022-08-12T09:57:05Z-
dc.date.issued2019-
dc.identifier.urihttp://ir.juit.ac.in:8080/jspui//xmlui/handle/123456789/5780-
dc.description.abstractCloud computing and DVFS appeared as emerging technology makes organizations use software, hardware, Applications with absence of increased cost through internet. Fog computing brought computer services like storage, processing etc near to the end user device. Implementing the DVFS technique in cloud computing we can achieve significant reduction in power consumption in cloud computing servers and devices. Cloud computing and fo computing provide reliable, stable and efficient computing environment for user, because of this more user tend to adapt cloud computing environment at their workplaces. Cloud computing along with fog computing develop new opportunities for the businesses and IT sector. Advancement of digital devices and networking technologies lead to implementation of data centric task. These factors leads for the need of energy efficient task scheduling scheme for data center. Task scheduling algorithm is very important in cloud computing environment. Till now tasks scheduling issue is crucial issues in cloud computing architecture. Critical challenge with cloud computing service provider, effectively & efficiently use the computing resources like cloud servers, network, storage, processors, bandwidth etc so that all computing resources are more efficiently used. For decreasing execution cost of the workload task scheduling within the specified time and cost, Advance task scheduling algorithm is deviseden_US
dc.language.isoenen_US
dc.publisherJaypee University of Information Technology, Solan, H.P.en_US
dc.subjectCloud computingen_US
dc.subjectHybrid public and private clouden_US
dc.subjectSaaSen_US
dc.subjectPaaSen_US
dc.titleEnergy Conservation using DVFS on Cloud and Fog for Power Cost Efficient IOT Devices Environmenten_US
dc.typeProject Reporten_US
Appears in Collections:Dissertations (M.Tech.)



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