An efficient algorithm for independent tasks scheduling in heterogeneous computing systems

Task scheduling is critical in heterogenous systems, especially with the huge number of tasks transmitted over grid. Since heuristics are proposing methods for solving heterogenous computing systems, several techniques were proposed for the scheduling on grid computing systems to get better ex...

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Main Author: Al-Qadhi, Abdulrahman Khaldoon Mahmood
Format: Thesis
Language:English
Published: 2016
Subjects:
Online Access:http://psasir.upm.edu.my/id/eprint/69668/1/fsktm%202017%2016%20ir.pdf
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spelling my-upm-ir.696682022-04-04T03:13:23Z An efficient algorithm for independent tasks scheduling in heterogeneous computing systems 2016-06 Al-Qadhi, Abdulrahman Khaldoon Mahmood Task scheduling is critical in heterogenous systems, especially with the huge number of tasks transmitted over grid. Since heuristics are proposing methods for solving heterogenous computing systems, several techniques were proposed for the scheduling on grid computing systems to get better execution time. In this thesis, a proposed new heuristic algorithm named Two Stages TasksTransfer (TSTT) algorithm introduced as an enhancement of state of TPB scheduling algorithm. Scheduling problem addressed Heterogeneous Computing Scheduling Problem (HCSP) mathematical model, where the independent tasks assigned to heterogenous processors with different characteristics. Twelve datasets with different heterogeneity level examined using different heuristic algorithms to compare the performance with the new algorithm. The proposed algorithm showed its efficiency in term of makespan, resource utilization and load balancing metrics for set of tasks. Heterogeneous distributed computing systems Computer algorithms 2016-06 Thesis http://psasir.upm.edu.my/id/eprint/69668/ http://psasir.upm.edu.my/id/eprint/69668/1/fsktm%202017%2016%20ir.pdf text en public masters Universiti Putra Malaysia Heterogeneous distributed computing systems Computer algorithms Ariffin, Ahmad Alauddin
institution Universiti Putra Malaysia
collection PSAS Institutional Repository
language English
advisor Ariffin, Ahmad Alauddin
topic Heterogeneous distributed computing systems
Computer algorithms

spellingShingle Heterogeneous distributed computing systems
Computer algorithms

Al-Qadhi, Abdulrahman Khaldoon Mahmood
An efficient algorithm for independent tasks scheduling in heterogeneous computing systems
description Task scheduling is critical in heterogenous systems, especially with the huge number of tasks transmitted over grid. Since heuristics are proposing methods for solving heterogenous computing systems, several techniques were proposed for the scheduling on grid computing systems to get better execution time. In this thesis, a proposed new heuristic algorithm named Two Stages TasksTransfer (TSTT) algorithm introduced as an enhancement of state of TPB scheduling algorithm. Scheduling problem addressed Heterogeneous Computing Scheduling Problem (HCSP) mathematical model, where the independent tasks assigned to heterogenous processors with different characteristics. Twelve datasets with different heterogeneity level examined using different heuristic algorithms to compare the performance with the new algorithm. The proposed algorithm showed its efficiency in term of makespan, resource utilization and load balancing metrics for set of tasks.
format Thesis
qualification_level Master's degree
author Al-Qadhi, Abdulrahman Khaldoon Mahmood
author_facet Al-Qadhi, Abdulrahman Khaldoon Mahmood
author_sort Al-Qadhi, Abdulrahman Khaldoon Mahmood
title An efficient algorithm for independent tasks scheduling in heterogeneous computing systems
title_short An efficient algorithm for independent tasks scheduling in heterogeneous computing systems
title_full An efficient algorithm for independent tasks scheduling in heterogeneous computing systems
title_fullStr An efficient algorithm for independent tasks scheduling in heterogeneous computing systems
title_full_unstemmed An efficient algorithm for independent tasks scheduling in heterogeneous computing systems
title_sort efficient algorithm for independent tasks scheduling in heterogeneous computing systems
granting_institution Universiti Putra Malaysia
publishDate 2016
url http://psasir.upm.edu.my/id/eprint/69668/1/fsktm%202017%2016%20ir.pdf
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