Abstract
A novel task graph model, flexible
task model (FTM), is proposed for modeling the grid computing tasks
and the relationships among the tasks. In this model, a task may generate
output before the task completes whereas previous work assumes that no output
is available until the task is completed. In addition, a task in FTM can start
to execute when it has collected a minimum amount of required input from its
predecessors. FTM is more general and flexible than the conventional task
graph model considered in previous work. Based on FTM, we investigate the
problem of scheduling grid applications that integrates the resource allocation
for task execution and service provisioning for subwavelength data communication
between the tasks. Data communication between grid tasks under the FTM model
is better supported using light-trails in wavelength division multiplexing
(WDM) networks, than lightpaths. The objective is to minimize the total amount
of time for task completion or makespan. Simulation results show that our
proposed scheduling algorithm under FTM significantly reduces the total task
completion time compared with that under the conventional task graph model.
Moreover, the communication service provisioning using light-trails is very
resource efficient.
© 2009 IEEE
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