Paper Info
Title
Memristor As An Archetype Of Dynamic Data-Driven Systems And Applications To Sensor Networks
Abstract
Since its introduction a decade ago, DDDAS has been applied to a wide range of science and technology fields, with specific focus of areas requiring fast and reliable processing of massive data streams from diverse resources. It is crucial to explore architectures and systems which are naturally suited to the DDDAS framework. In this paper, we show that the memristor the fourth fundamental two-terminal passive circuit element alongside the well-known resistor, capacitor, and inductor affords the efficient implementation of the working principles of DDDAS. Hence memristors can be considered as an archetype of DDDAS nanoscale hardware embodiment, being the smallest and most basic dynamic data driven application system. Memristors are electrical components with inherent memory processes; they have been predicted about four decade ago and have been physically implemented recently. We discuss the role that DDDAS may play in the development of computing platforms and sensor networks based on memristors in the next few years.
Year
DOI
Venue
2011
10.1016/j.procs.2011.04.193
PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON COMPUTATIONAL SCIENCE (ICCS)
Keywords
DocType
Volume
DDDAS, Memristor, Sensor Networks
Journal
4
ISSN
Citations 
PageRank 
1877-0509
0
0.34
References 
Authors
3
2
Name
Order
Citations
PageRank
Giovanni E. Pazienza193.05
Robert Kozma2583.24