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Task Partitioning with Replication upon Heterogeneous Multiprocessor Systems

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2 Author(s)
Gopalakrishnan, S. ; University of Illinois at Urbana-Champaign ; Caccamo, M.

The heterogeneous multiprocessor task partitioning with replication problem involves determining a mapping of recurring tasks upon a set consisting of different processing units in such a way that all tasks meet their timing constraints and no two replicas of the same task are assigned to the same processing unit. The replication requirement improves the resilience of the real-time system to a finite number of processor failures. This problem is NP-hard in the strong sense. We develop a Fully Polynomial-Time Approximation Scheme (FPTAS) for this problem.

Published in:

Real-Time and Embedded Technology and Applications Symposium, 2006. Proceedings of the 12th IEEE

Date of Conference:

04-07 April 2006