Control-Based Adaptive Middleware for Real-Time Image Transmission over Bandwidth-Constrained Networks
Issue No. 06 - June (2008 vol. 19)
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/TPDS.2008.41
Xiaorui Wang , University of Tennessee, Knoxville, Knoxville
Ming Chen , University of Tennessee, Knoxville, Knoxville
Huang-Ming Huang , Washington University in St. Louis, St. Louis
Venkita Subramonian , Washington University in St. Louis, St. Louis
Chenyang Lu , Washington University in St. Louis, St. Louis
Christopher D. Gill , Washington University in St. Louis, St. Louis
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.
Real-time and embedded systems, Distributed systems, Real-time systems and embedded systems, Distributed systems, Distributed Systems
C. D. Gill, C. Lu, X. Wang, H. Huang, M. Chen and V. Subramonian, "Control-Based Adaptive Middleware for Real-Time Image Transmission over Bandwidth-Constrained Networks," in IEEE Transactions on Parallel & Distributed Systems, vol. 19, no. , pp. 779-793, 2008.