Abstract
In this paper, we study the problem of positioning copies of shared data structures to reduce power consumption in real-time systems. Power-constrained real-time systems are of increasing importance in defense, space, and consumer applications. We describe our energy consumption model and present numerical results linking the placement of data structures to energy consumption.
This work is supported in part by DARPA through contract No. F30602-96-1-0341. The views and conclusions contained in this document are those of the authors and should not be interpreted as necessarily representing the official policies or endorsements, either expressed or implied, of the Defense Advanced Research Projects Agency, the Air Force or the U.S. Government.
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Unsal, O.S., Koren, I., Krishna, C.M. (2000). Power-Aware Replication of Data Structures in Distributed Embedded Real-Time Systems. In: Rolim, J. (eds) Parallel and Distributed Processing. IPDPS 2000. Lecture Notes in Computer Science, vol 1800. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45591-4_115
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DOI: https://doi.org/10.1007/3-540-45591-4_115
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