Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/339357
Title: Efficient Approaches for Improved Datacentre Network Throughput by Solving TCP Incast Problem Using Machine Learning Algorithms
Researcher: Thiruvenkatam B
Guide(s): Mukesh Krishnan M B
Keywords: Automation and Control Systems
Computer Science
Engineering and Technology
University: SRM University
Completed Date: 2021
Abstract: The new data era has reached the heights of technical eminence. Including Cloud computing, Next-generation Networks (NGN), and the Internet of Things (IoT). The integration of cloud computing with IoT strives the new research doors for the universal network community. As the major players, iCloud, Dropbox, Face book and Amazon EMR have built up an outstanding escalation in recent years on the planet cloud showcase. Current, approaches use batch processing to monitor network traffic in their middlebox layers newline
Pagination: 
URI: http://hdl.handle.net/10603/339357
Appears in Departments:Department of Computer Science Engineering

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chapter 1.pdf1.03 MBAdobe PDFView/Open
chapter 2.pdf772.75 kBAdobe PDFView/Open
chapter 3.pdf1.51 MBAdobe PDFView/Open
chapter 4.pdf1.29 MBAdobe PDFView/Open
chapter 5.pdf352.43 kBAdobe PDFView/Open
list of publications.pdf352.02 kBAdobe PDFView/Open
preliminary page.pdf484.96 kBAdobe PDFView/Open
references.pdf490.38 kBAdobe PDFView/Open
title page.pdf150.91 kBAdobe PDFView/Open
vitae.pdf243.69 kBAdobe PDFView/Open
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