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 |
Files in This Item:
File | Description | Size | Format | |
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80_recommendation.pdf | Attached File | 492.97 kB | Adobe PDF | View/Open |
certificate page.pdf | 479.95 kB | Adobe PDF | View/Open | |
chapter 1.pdf | 1.03 MB | Adobe PDF | View/Open | |
chapter 2.pdf | 772.75 kB | Adobe PDF | View/Open | |
chapter 3.pdf | 1.51 MB | Adobe PDF | View/Open | |
chapter 4.pdf | 1.29 MB | Adobe PDF | View/Open | |
chapter 5.pdf | 352.43 kB | Adobe PDF | View/Open | |
list of publications.pdf | 352.02 kB | Adobe PDF | View/Open | |
preliminary page.pdf | 484.96 kB | Adobe PDF | View/Open | |
references.pdf | 490.38 kB | Adobe PDF | View/Open | |
title page.pdf | 150.91 kB | Adobe PDF | View/Open | |
vitae.pdf | 243.69 kB | Adobe PDF | View/Open |
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