Abstract
This paper presents a high level dynamic task allocation algorithm that is inspired by the biological development process and the immune system. For a microprocessor (μP) array, a program is partitioned into a number of workload oriented tasks with data dependencies and a number of internal status-oriented tasks. Each μP in the array is capable of processing one of these tasks. The algorithm assigns tasks to the μP array that satisfies the requirements of the problem, and it dynamically recovers the system from faults at runtime. © 2010 Springer-Verlag Berlin Heidelberg.
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CITATION STYLE
Liu, Y., Timmis, J., Qadir, O., Tempesti, G., & Tyrrell, A. (2010). A developmental and immune-inspired dynamic task allocation algorithm for microprocessor array systems. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 6209 LNCS, pp. 199–212). https://doi.org/10.1007/978-3-642-14547-6_16
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