Efficient load balancing algorithm in cloud computing
Other Title(s)
إنشاء خوارزمية فعالة لتوزيع الأحمال للحوسبة السحابية
Dissertant
Thesis advisor
Comitee Members
Barakah, Ribhi Sulayman
Radi, Muhammad Abd al-Latif
University
Islamic University
Faculty
Faculty of Information Technology
University Country
Palestine (Gaza Strip)
Degree
Master
Degree Date
2015
English Abstract
Recently, cloud computing become a new global trend of computing.
It is a modern style of using the power of Internet and wide area network (WAN) to offer resources remotely.
It’s a new solution and strategy to achieve high availability, flexibility, cost reduced and on demand scalability.
However cloud computing has many challenges such as poor resource utilization which has deep impact in the performance of cloud computing.
These problems arisen due to the huge amounts of information.
So the need for efficient and powerful cloud computing load balancing algorithms is one of the most important issues in this area to improve the performance of cloud computing.
Many researchers proposed various load balancing and job scheduling algorithms in cloud computing, but there is still some inefficiency in the system performance and load still imbalance.
Therefore, in this research we propose a load balancing algorithm to improve the performance and efficiency in heterogeneous cloud computing environment.
We propose a hybrid algorithm based on randomization and greedy algorithm, it takes advantages of both random and greedy algorithms.
The algorithm considers the current resource information and the CPU capacity factor to achieve the objectives.
The hybrid algorithm has been evaluated and compared with other algorithms using CloudAnalyst simulator.
The results showed improvements on average response time and on processing time by considering the current resource information and the CPU capacity factor compared with other algorithms, and this means the performance has improved.
Main Subjects
Information Technology and Computer Science
Topics
No. of Pages
54
Table of Contents
Table of contents.
Abstract.
Chapter One : Introduction.
Chapter Two : Technical background and related works.
Chapter Three : Proposed algorithm.
Chapter Four : Experiments and results.
Chapter Five : Conclusion and future work.
References.
American Psychological Association (APA)
Yunus, Hafiz Jabr Hafiz. (2015). Efficient load balancing algorithm in cloud computing. (Master's theses Theses and Dissertations Master). Islamic University, Palestine (Gaza Strip)
https://search.emarefa.net/detail/BIM-611244
Modern Language Association (MLA)
Yunus, Hafiz Jabr Hafiz. Efficient load balancing algorithm in cloud computing. (Master's theses Theses and Dissertations Master). Islamic University. (2015).
https://search.emarefa.net/detail/BIM-611244
American Medical Association (AMA)
Yunus, Hafiz Jabr Hafiz. (2015). Efficient load balancing algorithm in cloud computing. (Master's theses Theses and Dissertations Master). Islamic University, Palestine (Gaza Strip)
https://search.emarefa.net/detail/BIM-611244
Language
English
Data Type
Arab Theses
Record ID
BIM-611244
