Load Allocation Model for Scheduling Divisible Data Grid Applications
نویسندگان
چکیده
منابع مشابه
New Optimal Load Allocation for Scheduling Divisible Data Grid Applications
In many data grid applications, data can be decomposed into multiple independent sub-datasets and distributed for parallel execution and analysis. This property has been successfully employed by using Divisible Load Theory (DLT), which has been proved as a powerful tool for modeling divisible load problems in data-intensive grid. There are some scheduling models have been studied but no optimal...
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In many data grid applications, data can be decomposed into multiple independent sub datasets and schedule for parallel execution and analysis. Divisible Load Theory (DLT) is a powerful tool for modelling data-intensive grid problems where both communication and computation load is partitionable. This paper presents an Adaptive DLT (ADLT) model for scheduling data-intensive grid applications. T...
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Problem statement: In many data grid applications, data can be decomposed into multiple independent sub-datasets and distributed for parallel execution and analysis. Approach: This property had been successfully employed by using Divisible Load Theory (DLT), which had been proved as a powerful tool for modeling divisible load problems in data-intensive grid. Results: There were some scheduling ...
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Scheduling an application in data grid was significantly complex and very challenging because of its heterogeneous in nature of the grid system. When the Divisible Load Theory (DLT) model had emerged as a powerful model for modeling data-intensive grid problem, Task Data Present (TDP) model was proposed based on it. This study presented a new Adaptive TDP (ATDP) for scheduling the intensive gri...
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ژورنال
عنوان ژورنال: Journal of Computer Science
سال: 2009
ISSN: 1549-3636
DOI: 10.3844/jcssp.2009.760.763