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Issue No. 06 - June (2008 vol. 19)
ISSN: 1045-9219
pp: 779-793
Christopher D. Gill , Washington University in St. Louis, St. Louis
Chenyang Lu , Washington University in St. Louis, St. Louis
Xiaorui Wang , University of Tennessee, Knoxville, Knoxville
Huang-Ming Huang , Washington University in St. Louis, St. Louis
Ming Chen , University of Tennessee, Knoxville, Knoxville
Venkita Subramonian , Washington University in St. Louis, St. Louis
ABSTRACT
Real-time image transmission is crucial to an emerging class of distributed embedded systems operating in open network environments. Examples include avionics mission re-planning over Link-16, security systems based on wireless camera networks, and online collaboration using camera phones. Meeting image transmission deadlines is a key challenge in such systems due to unpredictable network conditions. In this paper, we present CAMRIT, a Control-based Adaptive Middleware framework for Real-time Image Transmission in distributed real-time embedded systems. CAMRIT features a distributed feedback control loop that meets image transmission deadlines by dynamically adjusting the quality of image tiles. We derive an analytic model that captures the dynamics of a distributed middleware architecture. A control theoretic methodology is applied to systematically design a control algorithm with analytic assurance of system stability and performance, despite uncertainties in network bandwidth. Experimental results demonstrate that CAMRIT can provide robust real-time guarantees for a representative application scenario.
INDEX TERMS
Real-time and embedded systems, Distributed systems, Real-time systems and embedded systems, Distributed systems, Distributed Systems
CITATION
Christopher D. Gill, Chenyang Lu, Xiaorui Wang, Huang-Ming Huang, Ming Chen, Venkita Subramonian, "Control-Based Adaptive Middleware for Real-Time Image Transmission over Bandwidth-Constrained Networks", IEEE Transactions on Parallel & Distributed Systems, vol. 19, no. , pp. 779-793, June 2008, doi:10.1109/TPDS.2008.41
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