Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/257587
Title: Semantic technologies based services selection methods for cloud computing services
Researcher: Saravana Balaji B
Guide(s): Karthikeyan N K
Keywords: Cloud Computing
Engineering and Technology,Computer Science,Computer Science Information Systems
Selection Methods
Semantic Technologies
University: Anna University
Completed Date: 2018
Abstract: In the modern information technology era, the emergence of service-oriented architecture (SOA) and the grid computing leads to the development of a new computing paradigm called as cloud computing. Normally any computing resource like storage, processing unit are available in large numbers with the largest corporate information technology service providing companies like Google, Amazon, Microsoft, etc. and those resources are underutilized at most of the times. There are three types of cloud computing service models called as Software as a Service (SaaS), Platform as a Service (PaaS), and Infrastructure as a Service (IaaS). There are four types of cloud computing service deployment models Public, Private, Hybrid, and Community. Under the diverse nature of cloud computing, a cloud service consumer faces numerous technical issues on selecting a particular cloud newlineservice like the consumer must understand the technical requirements and workflow of the service, etc. An effective methodology can be developed for recommending the appropriate cloud service to a cloud user using the semantic technologies. The semantic web is an advancement to improve the existing web as an intelligent one. The problem with the vast amount of data on the existing web is, in current program centric format of the data, it is complicated to use it on a great scale as there is no standard methodology is available for describing data in such a meaningful way, as any system can utilize it. Hence semantic web tries to make the web as user-centric newlineinformation based entity. The objective of this research is to develop cloud service recommendation systems based on semantic technologies according to user requirements. newline newline
Pagination: xx, 138p.
URI: http://hdl.handle.net/10603/257587
Appears in Departments:Faculty of Information and Communication Engineering

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01_title.pdfAttached File144.54 kBAdobe PDFView/Open
02_certificates.pdf1.33 MBAdobe PDFView/Open
03_abstract.pdf102.73 kBAdobe PDFView/Open
04_acknowledgement.pdf92.81 kBAdobe PDFView/Open
05_table_of_contents.pdf112.1 kBAdobe PDFView/Open
06_list_of_symbols_and_abbreviations.pdf97.68 kBAdobe PDFView/Open
07_chapter1.pdf242.1 kBAdobe PDFView/Open
08_chapter2.pdf542.62 kBAdobe PDFView/Open
09_chapter3.pdf335.47 kBAdobe PDFView/Open
10_chapter4.pdf104.28 kBAdobe PDFView/Open
11_chapter5.pdf623.76 kBAdobe PDFView/Open
12_chapter6.pdf466.16 kBAdobe PDFView/Open
13_chapter7.pdf154.95 kBAdobe PDFView/Open
14_conclusion.pdf154.95 kBAdobe PDFView/Open
15_references.pdf212.69 kBAdobe PDFView/Open
16_list_of_publications.pdf119.12 kBAdobe PDFView/Open


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