Minimization of task turnaround time for distributed systems
Journal
Proceedings - IEEE Computer Society's International Computer Software & Applications Conference
Pages
2-7
Date Issued
1989
Author(s)
Abstract
The problem of assigning a partitioned task to a distributed computing system is studied. Considering communication overhead and idle time, it is possible to develop a mathematical model to describe the cost function, which is defined to evaluate the task turnaround time, under a general model of distributed computing systems. Task assignment is formulated as a DU-mapping, which maps a directed acyclic task graph onto an undirected system graph. The search of optimal DU-mapping is NP-complete and is transformed into a state-space search problem. An approach called critical sink underestimate is developed to attain an optimal DU-mapping. This approach allows the most nodes in the state-space tree to be pruned. Experimental results reveal that this method performs very well due to its close evaluation to the real cost.
Other Subjects
Computer Software--Software Engineering; Distributed Computing Systems; Parallel Processing; Software Development; Computer Systems, Digital
Type
conference paper
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