Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/565928
Title: Energy efficient task scheduling and resource management in a cloud environment using unique ranking and hsrlba approach
Researcher: Kalai Arasan K
Guide(s): Anandhakumar P
Keywords: Cloud Environment
Resource Management
Virtual Machines
University: Anna University
Completed Date: 2023
Abstract: Recently, the demand for processing and storing data has been newlinesignificantly raising in various domains such as government, finance, and newlinescience. Cloud and big data are considered major keystones in the era of data newlinescience. Therefore, a system that assists big data and holds them through newlinecloud computing has been established and utilized prominently. Big data is newlineaccountable for processing and storing the data, whereas the cloud is newlineresponsible for fault tolerant, reliable, and scalable environments in big data newlinedistributed management systems. Several social data accords to overall data newlinetraffic, and cloud storage is described as one of the methods employed for newlineassisting the big data components. However, in the cloud, due to centralized newlineproblems with job scheduling, Virtual Machines (VMs) are utilized to newlineschedule jobs. From a particular VM, waiting for a service reply or newlinetransferring to a large community from a far apart VM enhances the newlinecompletion time and cost of data traffic. newlineIn this work, a global proxy service model has been presented newlinecommonly for big data traffic, and it is termed as global service model newline(GloSM). Here, GloSM has certainly intercepted and served the big data newlinetraffic from various systems without interrupting other internet applications. newlineAlso, the local service model (LoSM) and GloSM are proposed merely to newlinesatisfy the service request from several hosts corresponding to service activity newlineand proximity. The main objective of LoSM and GloSM is to support users in newlinenavigating several jobs to active VMs. It is a novel method that searches and newlinestores unstructured data using several VMs. If there are any service misses in newlinethe network, the hybridrestoration assists in establishing service to the users. newline
Pagination: xiv,164p.
URI: http://hdl.handle.net/10603/565928
Appears in Departments:Faculty of Information and Communication Engineering

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01_title.pdfAttached File31.23 kBAdobe PDFView/Open
02_prelimpages.pdf559.48 kBAdobe PDFView/Open
03_contents.pdf25.14 kBAdobe PDFView/Open
04_abstracts.pdf22.03 kBAdobe PDFView/Open
05_chapter1.pdf871.25 kBAdobe PDFView/Open
06_chapter2.pdf642.93 kBAdobe PDFView/Open
07_chapter3.pdf642.93 kBAdobe PDFView/Open
08_chapter4.pdf847.69 kBAdobe PDFView/Open
09_chapter5.pdf745.09 kBAdobe PDFView/Open
10_annexures.pdf134.16 kBAdobe PDFView/Open
80_recommendation.pdf76.66 kBAdobe PDFView/Open
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