Λεπτομερής προβολή: An efficient algorithm for independent tasks scheduling in heterogeneous computing systems (salah ejaan "heterogeneous" pada tajuk di pdf)

An efficient algorithm for independent tasks scheduling in heterogeneous computing systems (salah ejaan "heterogeneous" pada tajuk di pdf)

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 execu...

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Κύριος συγγραφέας:	Al-Qadhi, Abdulrahman Khaldoon Mahmood
Μορφή:	Thesis
Γλώσσα:	English
Έκδοση:	2016
Διαθέσιμο Online:	http://ethesis.upm.edu.my/id/eprint/11324/1/fsktm%202017%2016%20et.pdf
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id	oai:ethesis.upm.edu.my:11324
record_format	eprints
spelling	oai:ethesis.upm.edu.my:11324 http://ethesis.upm.edu.my/id/eprint/11324/ An efficient algorithm for independent tasks scheduling in heterogeneous computing systems (salah ejaan "heterogeneous" pada tajuk di pdf) 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. 2016-06 Thesis NonPeerReviewed application/pdf en http://ethesis.upm.edu.my/id/eprint/11324/1/fsktm%202017%2016%20et.pdf Al-Qadhi, Abdulrahman Khaldoon Mahmood (2016) An efficient algorithm for independent tasks scheduling in heterogeneous computing systems (salah ejaan "heterogeneous" pada tajuk di pdf). Masters thesis, Universiti Putra Malaysia. (FSKTM 2017 16).
institution	UPM eTHESES
collection	UPM eTHESES
language	English
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
author	Al-Qadhi, Abdulrahman Khaldoon Mahmood
spellingShingle	Al-Qadhi, Abdulrahman Khaldoon Mahmood An efficient algorithm for independent tasks scheduling in heterogeneous computing systems (salah ejaan "heterogeneous" pada tajuk di pdf)
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 (salah ejaan "heterogeneous" pada tajuk di pdf)
title_short	An efficient algorithm for independent tasks scheduling in heterogeneous computing systems (salah ejaan "heterogeneous" pada tajuk di pdf)
title_full	An efficient algorithm for independent tasks scheduling in heterogeneous computing systems (salah ejaan "heterogeneous" pada tajuk di pdf)
title_fullStr	An efficient algorithm for independent tasks scheduling in heterogeneous computing systems (salah ejaan "heterogeneous" pada tajuk di pdf)
title_full_unstemmed	An efficient algorithm for independent tasks scheduling in heterogeneous computing systems (salah ejaan "heterogeneous" pada tajuk di pdf)
title_sort	efficient algorithm for independent tasks scheduling in heterogeneous computing systems (salah ejaan "heterogeneous" pada tajuk di pdf)
publishDate	2016
url	http://ethesis.upm.edu.my/id/eprint/11324/1/fsktm%202017%2016%20et.pdf
_version_	1819311195201470464
score	13.4562235

An efficient algorithm for independent tasks scheduling in heterogeneous computing systems (salah ejaan "heterogeneous" pada tajuk di pdf)

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