Scaling cloud resources under different virtualization hypervisors types with regards to machine utilization
Other Title(s)
توسيع موارد السحابة باستخدام أنواع مختلفة الأدوات الافتراضية بقياس فعالية هذه الموارد
Dissertant
Thesis advisor
Comitee Members
Nasir al-Din, Hibah H. O.
al-Dawud, Ali Asad Ahmad
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 computer is very common and important nowadays, it introduce many services and advantages, user can simply use storage, computing power, or specially development environments, without having to worry how these work internally, Cloud computing is a systems architecture model for Internet-based computing.
It is the development and use of computer technology on the Internet, cloud based mainly on virtualization technology and it uses many techniques to achieve it, User can upgrade the component such that provided by cloud environment by scaling the machine it’s called vertical scalability or to split the machine to many machines called horizontal scalability.
This research will find which scalable type has a better performance with certain virtual type, the challenge here is how the research can apply that in the domain of database, and we will introduce results and recommendations that which type of scalability more suitable with particular virtualization technique The study include the effects of types of hypervisors that fit with scalability technique with regards to machine utilizations of CPU, RAM and time consuming, also it shows that the internal effects of scale the system with other criteria’s such as use standard graphical mode, use command mode, use SSH remote server, RAM with dual channels, use graphical processor unit GPU processor, and change horizontal scale architecture.
Main Subjects
Information Technology and Computer Science
No. of Pages
75
Table of Contents
Table of contents.
Abstract.
Abstract in Arabic.
Chapter One : Introduction.
Chapter Two : Background and literature review.
Chapter Three : Design the experiment.
Chapter Four : Results analysis.
Chapter Five : Conclusion and future work.
References.
American Psychological Association (APA)
Abu Sharkh, Sultan Ali. (2014). Scaling cloud resources under different virtualization hypervisors types with regards to machine utilization. (Master's theses Theses and Dissertations Master). Middle East University, Jordan
https://search.emarefa.net/detail/BIM-694940
Modern Language Association (MLA)
Abu Sharkh, Sultan Ali. Scaling cloud resources under different virtualization hypervisors types with regards to machine utilization. (Master's theses Theses and Dissertations Master). Middle East University. (2014).
https://search.emarefa.net/detail/BIM-694940
American Medical Association (AMA)
Abu Sharkh, Sultan Ali. (2014). Scaling cloud resources under different virtualization hypervisors types with regards to machine utilization. (Master's theses Theses and Dissertations Master). Middle East University, Jordan
https://search.emarefa.net/detail/BIM-694940
Language
English
Data Type
Arab Theses
Record ID
BIM-694940
