Hybrid Real-Time Task Scheduling Algorithm in Overload Situation for Multiprocessor System
Keywords:Enhanced Initial Swarm, Hybrid, Invasive Weed Optimization, Particle Swarm Optimization Overload,
AbstractReal-time systems are reactive systems which should meet major constraints in scheduling tasks like time limitation and resources allocation for scheduling the task effectively when the system in overloaded condition. Failure of system in scheduling tasks when system is overloaded can result in catastrophic impacts. The goal of this research is to propose a task scheduling algorithm that able to perform better than traditional Earliest Deadline First (EDF) and minimize the overall completion time when the system in overloaded condition. The proposed scheduling algorithm is built based on three new improved scheduling algorithms namely: (1) Hybrid Particle Swarm Optimization (PSO) and Hybrid Invasive Weed Optimization (HPIO), (2) Enhanced Initial Swarm (EIS), and (3) Hybrid EDF, EIS and HPIO Optimization (HEDFPIO). The author proves that more successful tasks is scheduled by using HPIO in multiprocessor system in over loaded situation among PSO and ACO. The author uses EIS algorithm in order to improve local search in HPIO and have fair load balance among processors. Finally the author presents a new hybrid algorithm that combines HPIO, EIS and EDF which is called HEDFPIO, It is observed that we could achieve higher successful ratio in task scheduling and with shorter calculation time in overloaded situation.
How to Cite
TRANSFER OF COPYRIGHT AGREEMENT
The manuscript is herewith submitted for publication in the Journal of Telecommunication, Electronic and Computer Engineering (JTEC). It has not been published before, and it is not under consideration for publication in any other journals. It contains no material that is scandalous, obscene, libelous or otherwise contrary to law. When the manuscript is accepted for publication, I, as the author, hereby agree to transfer to JTEC, all rights including those pertaining to electronic forms and transmissions, under existing copyright laws, except for the following, which the author(s) specifically retain(s):
- All proprietary right other than copyright, such as patent rights
- The right to make further copies of all or part of the published article for my use in classroom teaching
- The right to reuse all or part of this manuscript in a compilation of my own works or in a textbook of which I am the author; and
- The right to make copies of the published work for internal distribution within the institution that employs me
I agree that copies made under these circumstances will continue to carry the copyright notice that appears in the original published work. I agree to inform my co-authors, if any, of the above terms. I certify that I have obtained written permission for the use of text, tables, and/or illustrations from any copyrighted source(s), and I agree to supply such written permission(s) to JTEC upon request.