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Title:Self-adaptive skeletal task farm for computational grids
Authors: Horacio Gonzalez-Velez
Date:Sep 2006
Publication Title:Parallel Computing
Publisher:Elsevier B.V.
Publication Type:Journal Article Publication Status:Published
Volume No:32 (7-8_ Page Nos:479-490
DOI:10.1016/j.parco.2006.07.002 ISBN/ISSN:0167-8191
In this work, we introduce a self-adaptive task farm for computational grids which is based on a single-round scheduling algorithm called dynamic deal. In principle, the dynamic deal approach employs skeletal forecasting information to automatically instrument the task farm scheduling and determine the amount of work assigned to each worker at execution time, allowing the farm to adapt effectively to different load and network conditions in the grid. In practice, it uses self-generated predictive execution values and maps tasks onto the different nodes in a single-round. The effectiveness of this approach is illustrated with a computational biology parameter sweep in a non-dedicated departmental grid.
Links To Paper
DOI Link (Elsevier ScienceDirect)
Bibtex format
author = { Horacio Gonzalez-Velez },
title = {Self-adaptive skeletal task farm for computational grids},
journal = {Parallel Computing},
publisher = {Elsevier B.V.},
year = 2006,
month = {Sep},
volume = {32 (7-8_},
pages = {479-490},
doi = {10.1016/j.parco.2006.07.002},
url = {},

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