A2DLT : Divisible Load Balancing Model for scheduling communication-intensive grid applications.

Scheduling an application in data grid is significantly complex and very challenging because of its heterogeneous in nature of the grid system. Divisible Load Theory (DLT) is a powerful model for modelling data-intensive grid problem where both communication and computation loads are partitionable....

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Main Authors: Othman, Mohamed, Abdullah, M., Ibrahim, Hamidah, Subramaniam, Shamala
Format: Article
Language:English
Published: Springer-Verlag Berlin Heidelberg 2008
Subjects:
Online Access:http://psasir.upm.edu.my/id/eprint/12899/
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author Othman, Mohamed
Abdullah, M.
Ibrahim, Hamidah
Subramaniam, Shamala
author_facet Othman, Mohamed
Abdullah, M.
Ibrahim, Hamidah
Subramaniam, Shamala
author_sort Othman, Mohamed
building UPM Institutional Repository
collection Online Access
description Scheduling an application in data grid is significantly complex and very challenging because of its heterogeneous in nature of the grid system. Divisible Load Theory (DLT) is a powerful model for modelling data-intensive grid problem where both communication and computation loads are partitionable. This paper presents a new divisible load balancing model known as adaptive ADLT (A2DLT) for scheduling the communication intensive grid applications. This model reduces the maximum completion time (makespan) as compared to the ADLT and Constraint DLT (CDLT) models. Experimental results showed that the model can balance the load efficiently, especially when the communication-intensive applications are considered.
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spelling upm-128992012-02-10T04:07:20Z http://psasir.upm.edu.my/id/eprint/12899/ A2DLT : Divisible Load Balancing Model for scheduling communication-intensive grid applications. Othman, Mohamed Abdullah, M. Ibrahim, Hamidah Subramaniam, Shamala Scheduling an application in data grid is significantly complex and very challenging because of its heterogeneous in nature of the grid system. Divisible Load Theory (DLT) is a powerful model for modelling data-intensive grid problem where both communication and computation loads are partitionable. This paper presents a new divisible load balancing model known as adaptive ADLT (A2DLT) for scheduling the communication intensive grid applications. This model reduces the maximum completion time (makespan) as compared to the ADLT and Constraint DLT (CDLT) models. Experimental results showed that the model can balance the load efficiently, especially when the communication-intensive applications are considered. Springer-Verlag Berlin Heidelberg 2008 Article PeerReviewed Othman, Mohamed and Abdullah, M. and Ibrahim, Hamidah and Subramaniam, Shamala (2008) A2DLT : Divisible Load Balancing Model for scheduling communication-intensive grid applications. Lecture Notes in Computer Science, 1 (5101). pp. 246-253. Computational grids (Computer systems). Parallel processing (Electronic computers). Electronic data processing - Distributed processing. 10.1007/978-3-540-69384-0_30 English
spellingShingle Computational grids (Computer systems).
Parallel processing (Electronic computers).
Electronic data processing - Distributed processing.
Othman, Mohamed
Abdullah, M.
Ibrahim, Hamidah
Subramaniam, Shamala
A2DLT : Divisible Load Balancing Model for scheduling communication-intensive grid applications.
title A2DLT : Divisible Load Balancing Model for scheduling communication-intensive grid applications.
title_full A2DLT : Divisible Load Balancing Model for scheduling communication-intensive grid applications.
title_fullStr A2DLT : Divisible Load Balancing Model for scheduling communication-intensive grid applications.
title_full_unstemmed A2DLT : Divisible Load Balancing Model for scheduling communication-intensive grid applications.
title_short A2DLT : Divisible Load Balancing Model for scheduling communication-intensive grid applications.
title_sort a2dlt : divisible load balancing model for scheduling communication-intensive grid applications.
topic Computational grids (Computer systems).
Parallel processing (Electronic computers).
Electronic data processing - Distributed processing.
url http://psasir.upm.edu.my/id/eprint/12899/
http://psasir.upm.edu.my/id/eprint/12899/