Task scheduling using best-level-job-first on private cloud computing
Other Title(s)
جدولة المهام على الحوسبة السحابية الخاصة باستخدام أفضل مستوى عمل أولا
Dissertant
Thesis advisor
al-Husayni, Muhammad Abbas Fadil
Comitee Members
al-Sadi, Jihad
al-Hammuz, Ahmad
University
Middle East University
Faculty
Faculty of Information Technology
Department
Computer Science Department
University Country
Jordan
Degree
Master
Degree Date
2016
English Abstract
Cloud computing is one of the latest IT technologies, and consisting of a set of virtualized resources that serve the users via the Internet.
Task Scheduler is one of the most important cloud computing problems.
And that cannot be scheduled using single criteria, but according too many of the criteria's and rules.
These rules and criteria's to be agreed upon by the service provider and the user.
There is a real gap in the design task scheduling algorithm and the level of service provided to users of the scheduling algorithm.
How can making a priority of the user with the highest level to get the best service in private cloud computing that use the same network speed and the same storage capacity and the same processor speed.
The proposed algorithm named "Best Level Job First," based on four criteria: First, Level of User: it is the rank of the user, Time: time is expected to carry out the work, Cost: Here, we consider it the amount of energy consumption.
Load: load on the system.
The proposed algorithm bothers significantly to the level of the users in the process of implementing their request for an instruction to build "the actual level of the user.
And change the behavior of the algorithm is practically in queue.
By comparing the proposed algorithm with the algorithm Short Job First (SJF) the result given by proposed algorithm is the lower waiting time for users in the highest level.
And by comparing the proposed algorithm with the algorithm Round Robin (RR) the result given by the proposed algorithm is the fast response time for users in the highest level
Main Subjects
Information Technology and Computer Science
No. of Pages
86
Table of Contents
Table of contents.
Abstract.
Abstract in Arabic.
Chapter One : Introduction.
Chapter Two : Background and literature review.
Chapter Three : The proposed BLJF scheduling algorithm.
Chapter Four : The experimental result.
Chapter Five : Conclusion and future work.
References.
American Psychological Association (APA)
Aridah, Muhammad Ibrahim. (2016). Task scheduling using best-level-job-first on private cloud computing. (Master's theses Theses and Dissertations Master). Middle East University, Jordan
https://search.emarefa.net/detail/BIM-721125
Modern Language Association (MLA)
Aridah, Muhammad Ibrahim. Task scheduling using best-level-job-first on private cloud computing. (Master's theses Theses and Dissertations Master). Middle East University. (2016).
https://search.emarefa.net/detail/BIM-721125
American Medical Association (AMA)
Aridah, Muhammad Ibrahim. (2016). Task scheduling using best-level-job-first on private cloud computing. (Master's theses Theses and Dissertations Master). Middle East University, Jordan
https://search.emarefa.net/detail/BIM-721125
Language
English
Data Type
Arab Theses
Record ID
BIM-721125
