Analysis On QOS Parameters To Predict Http Response

Current web service standards lack the best framework to predict the best possible QoS parameters to predict the best delivery service to guarantee packets being delivered to the destination and the order of the arriving packets through the HTTP. It is because of the proliferation of the same web se...

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Main Author:	A.Rahman, Khairulnizam
Format:	Thesis
Language:	English English
Published:	2017
Subjects:	T Technology (General)
Online Access:	http://eprints.utem.edu.my/id/eprint/20727/1/Analysis%20On%20QOS%20Parameters%20To%20Predict%20Http%20Response%20-%20Khairulnizam%20A.Rahman%20-%2024%20Pages.pdf http://eprints.utem.edu.my/id/eprint/20727/2/Analysis%20On%20QOS%20Parameters%20To%20Predict%20Http%20Response.pdf
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id	my-utem-ep.20727
record_format	uketd_dc
spelling	my-utem-ep.207272022-02-07T16:05:59Z Analysis On QOS Parameters To Predict Http Response 2017 A.Rahman, Khairulnizam T Technology (General) TK Electrical engineering. Electronics Nuclear engineering Current web service standards lack the best framework to predict the best possible QoS parameters to predict the best delivery service to guarantee packets being delivered to the destination and the order of the arriving packets through the HTTP. It is because of the proliferation of the same web service functionality, reliability and reputation on published information. However, it is not an easy task to propose the required QoS to users because of the dynamic nature of web services and web service features, uncertain with differences applications and web services of different QoS requirements. Therefore, the real live world web service label data uses to evaluate the focus parameters using classification machine learning algorithms to process the data. The specific objective of this research was to predict simple method of measuring response time and encounter performance bottlenecks due to the limitations of the underlying messaging and transport protocols for the web services. By improving QoS services will bring advantages and competitiveness of network service providers increase bandwidth and better speed performances desire with significant parameters for users. The findings of this research have a number of important implications for future practice. 2017 Thesis http://eprints.utem.edu.my/id/eprint/20727/ http://eprints.utem.edu.my/id/eprint/20727/1/Analysis%20On%20QOS%20Parameters%20To%20Predict%20Http%20Response%20-%20Khairulnizam%20A.Rahman%20-%2024%20Pages.pdf text en public http://eprints.utem.edu.my/id/eprint/20727/2/Analysis%20On%20QOS%20Parameters%20To%20Predict%20Http%20Response.pdf text en validuser http://libraryopac.utem.edu.my/webopac20/Record/0000106654 mphil masters Universiti Teknikal Malaysia Melaka Faculty of Information and Communication Technology
institution	Universiti Teknikal Malaysia Melaka
collection	UTeM Repository
language	English English
topic	T Technology (General) T Technology (General)
spellingShingle	T Technology (General) T Technology (General) A.Rahman, Khairulnizam Analysis On QOS Parameters To Predict Http Response
description	Current web service standards lack the best framework to predict the best possible QoS parameters to predict the best delivery service to guarantee packets being delivered to the destination and the order of the arriving packets through the HTTP. It is because of the proliferation of the same web service functionality, reliability and reputation on published information. However, it is not an easy task to propose the required QoS to users because of the dynamic nature of web services and web service features, uncertain with differences applications and web services of different QoS requirements. Therefore, the real live world web service label data uses to evaluate the focus parameters using classification machine learning algorithms to process the data. The specific objective of this research was to predict simple method of measuring response time and encounter performance bottlenecks due to the limitations of the underlying messaging and transport protocols for the web services. By improving QoS services will bring advantages and competitiveness of network service providers increase bandwidth and better speed performances desire with significant parameters for users. The findings of this research have a number of important implications for future practice.
format	Thesis
qualification_name	Master of Philosophy (M.Phil.)
qualification_level	Master's degree
author	A.Rahman, Khairulnizam
author_facet	A.Rahman, Khairulnizam
author_sort	A.Rahman, Khairulnizam
title	Analysis On QOS Parameters To Predict Http Response
title_short	Analysis On QOS Parameters To Predict Http Response
title_full	Analysis On QOS Parameters To Predict Http Response
title_fullStr	Analysis On QOS Parameters To Predict Http Response
title_full_unstemmed	Analysis On QOS Parameters To Predict Http Response
title_sort	analysis on qos parameters to predict http response
granting_institution	Universiti Teknikal Malaysia Melaka
granting_department	Faculty of Information and Communication Technology
publishDate	2017
url	http://eprints.utem.edu.my/id/eprint/20727/1/Analysis%20On%20QOS%20Parameters%20To%20Predict%20Http%20Response%20-%20Khairulnizam%20A.Rahman%20-%2024%20Pages.pdf http://eprints.utem.edu.my/id/eprint/20727/2/Analysis%20On%20QOS%20Parameters%20To%20Predict%20Http%20Response.pdf
_version_	1747833994886512640

Analysis On QOS Parameters To Predict Http Response

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