Closed form Solution for Scheduling Arbitrarily Divisible Load Model in Data Grid Applications: Multiple Sources
Abstract
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 grid applications. New closed form solution for obtaining the load allocation was derived while computation speeds and communication links are heterogeneous. Experimental results showed that the proposed model can balance the load efficiently.
DOI: https://doi.org/10.3844/ajassp.2009.626.630
Copyright: © 2009 Monir Abdullah, Mohamed Othman, Hamidah Ibrahim and Shamala Subramaniam. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
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Keywords
- Data grid
- divisible load theory