Comparative analysis of database performance for well-known cloud computing environments
Other Title(s)
التحليل المقارن لأداء قواعد البيانات في بيئات الحوسبة السحابية المعروفة
Dissertant
Thesis advisor
Comitee Members
al-Bahadili, Husayn
Naum, Riyad Shakir
University
Middle East University
Faculty
Faculty of Information Technology
Department
Department of Computer Information Systems
University Country
Jordan
Degree
Master
Degree Date
2014
English Abstract
Cloud computing paradigm reduces hardware costs, software costs, and provides efficient use of services in internet environment.
Virtualization technology is the main component of cloud computing technology.
Thus, several types of virtualization techniques (hypervisors) are available to be used in cloud environments.
Cloud computing technology serves databases for private, public and hybrid clouds.
Each type of hypervisor has its own interaction with database depending on the type of query that is executed.
The main aim of this thesis is to study the performance of the hypervisors with cloud managers for each type of SQL query.
To be able to meet this aim it has been outlined the different types of cloud managers, hypervisors, and query types.
The findings of literature review have been deployed to design several experiments for this research.
Two experiments have been conducted to evaluate the response time for both CPU and memory.
The results showed that the type of hypervisors have an effect on the performance of SQL query types with regards to CPU and memory response times.
Thus, The Mean (ϻ)was taken to make the comparison between hypervisors and The Coefficient of Variation (CV) was taken to check the comparison results.
Thus, Xen hypervisor had a positive effect based on query type.
Hence, KVM hypervisor had a negative effects based on query type.
Xen hypervisor affect the performance of query types with 11%, 20%, and 3% for DDL, DML, and DQL respectively.
KVM hypervisor affect the performance of query types with 17%, 25%, and 4% for DDL, DML, and DQL respectively.
In addition, control parameter was taken which it is dataset size; to realize the experiment results.
The domain of dataset size was taken as three stages 1100, 2200, and 3300 rows respectively.
Thus, the results show negative effect after doubling and tripling the size of data set.
Main Subjects
Information Technology and Computer Science
No. of Pages
89
Table of Contents
Table of contents.
Abstract.
Abstract in Arabic.
Chapter One : Introduction.
Chapter Two : Literature review and related work.
Chapter Three : The proposed model and experiment design.
Chapter Four : Experimental results.
Chapter Five : Conclusion and future works.
References.
American Psychological Association (APA)
Ubaydat, Jasur Ahmad Mahmud. (2014). Comparative analysis of database performance for well-known cloud computing environments. (Master's theses Theses and Dissertations Master). Middle East University, Jordan
https://search.emarefa.net/detail/BIM-694458
Modern Language Association (MLA)
Ubaydat, Jasur Ahmad Mahmud. Comparative analysis of database performance for well-known cloud computing environments. (Master's theses Theses and Dissertations Master). Middle East University. (2014).
https://search.emarefa.net/detail/BIM-694458
American Medical Association (AMA)
Ubaydat, Jasur Ahmad Mahmud. (2014). Comparative analysis of database performance for well-known cloud computing environments. (Master's theses Theses and Dissertations Master). Middle East University, Jordan
https://search.emarefa.net/detail/BIM-694458
Language
English
Data Type
Arab Theses
Record ID
BIM-694458
